IIM SKILLS vs. Udemy Data Analytics Course Review

by Ekta Rehalia | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Data analytics courses range from entry-level to advanced levels and are designed for those who want to establish themselves as data professionals, grow in their jobs, or make a career change into the sector. Data analytics seeks to gain understanding from data by connecting patterns and trends to business objectives. When comparing data assets to organizational assumptions, data analytics is frequently used, and the focus of the activity is generally on business and strategy. Data analytics is less concerned with AI, machine learning, and predictive modeling than it is with contextualizing historical data. Here is a detailed guide to IIM SKILLS vs Udemy Data Analytics Course. 

Data Analytics: Uses

Whether we realize it or not, we use data every day and it is all around us. Data analysis and its application may be seen in everyday activities.

Since many company executives rely on data to make wise decisions, data analytics is important in many different sectors. While a hospital administration could look at inventory data to decide which medical supplies to purchase, a shoe maker might use sales data to decide which designs to maintain and which to retire. Educational institutions may utilize enrollment statistics to decide what kinds of courses to offer.

Businesses that rely on data to guide their strategy usually exhibit higher levels of assurance, adversity, and financial acumen.

Recommended Reads

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• IIM SKILLS vs Imarticus Data Analytics Course 
• IIM SKILLS vs Digital Vidya Data Analytics Course 

Data Analytics Principles

Data analytics may be classified as either descriptive, diagnostic, predictive, or prescriptive.

• Diagnostic analytics diagnose the cause of an event.
• Predictive analytics makes predictions about future events.
• Our actions are guided by prescriptive analytics.

Combining these three categories of data analytics may help a corporation make decisions based on data.

The data analytics process, which comprises identifying the question, obtaining raw data, cleaning data, analyzing data, and interpreting the results, is frequently used by those who work with data analytics to study each of these four areas.

What Does a Data Analyst do?

A data analyst is in charge of gathering, scrubbing, and analyzing data that may be applied to better business judgments. They need to be able to explain their results clearly to people who will be making the choices. Data analysts frequently have excellent backgrounds in computer science and mathematics.

As organizations have gotten more data-driven, the function of the data analyst has become more crucial. Businesses can make sense of the enormous volumes of data they gather with the aid of data analysts. They clean and analyze data using their knowledge of mathematics and computer science, then provide their conclusions to people who will be making the choices.

Types of Data Analysts

There are several types for data analysts that you may pursue depending on your interests and skill set. Typical categories of data analysts include:

Business Analyst

Complex data sets must be gathered, analyzed, and interpreted by a business/data analyst so that businesses may make wise decisions. In order to define business requirements and create supporting data models, they collaborate closely with stakeholders. Additionally, they could create dashboards and reports to show data insights to decision-makers.

Marketing Analyst

A marketing analyst helps businesses understand their consumers and create marketing strategies by using data. They do this to assist businesses in efficiently focusing their marketing efforts by analyzing consumer behavior, demographic information, and market trends. To monitor the effectiveness of marketing efforts, they could also develop marketing performance measures

Financial Analyst

Data is used by a financial analyst to assist businesses in making financial choices. They may examine financial information including sales, costs, and profitability to assist businesses in identifying opportunities for development or growth. In order to estimate future performance and guide strategic planning, they could also create economic models.

Medical Analyst

In order to assist healthcare firms improve patient outcomes and cut costs, analysts in this field use data. To find trends and patterns, they could examine healthcare data including patient records, clinical studies, and insurance claims. For the benefit of healthcare professionals, they may also create prediction models.

Data Scientist

A data scientist is in charge of creating intricate algorithms and models to address data-driven issues. They utilize sophisticated analytical approaches to glean insights from huge, complicated data sets and create prediction models. They could collaborate with other data analysts to create data-driven business solutions.

Requirements and Qualifications of Data Analyst

Data analysts need to have few essential skills and background elements in order to succeed in their position. 

• Data analysts should be proficient in mathematics.
• Second, they should have experience working with statistical software programs like SAS, R, or SPSS. 
• Great communication skills.

Data analysts that meet these requirements and prerequisites will be well-positioned to succeed in their positions and offer insightful information that may aid firms in making better decisions.

Data Analysts must possess both technical and soft skills to succeed in their positions.

Technical Skills

• Wrangling massive amounts of data from numerous sources and processing it.
• To provide reliable analysis, data must be cleaned of mistakes, discrepancies, and inconsistency.
• Statistical approaches and tools, such as SQL, Python, R, Excel, or Tableau, are used to analyze data.
• Making charts, graphs, and other visual representations of data to effectively communicate insights is known as data visualization.
• Data modeling is the process of creating mathematical representations of real-world occurrences in order to make future predictions.
• Finding patterns and insights from huge databases is known as data mining.
• Machines can learn from data and generate predictions by using algorithms and statistical models.

Soft Skills

• Communication: The ability to convey knowledge, research, and conclusions to a range of stakeholders.
• Problem-Solving: The capacity to approach issues systematically, pinpoint underlying causes, and create workable solutions.
• Paying close attention to every little detail while cleaning, analyzing, and modeling data to guarantee precision and dependability.
• Critical thinking is the process of analyzing data, spotting patterns and trends, and coming to intelligent judgments.
• Time management: Setting priorities and successfully juggling many projects and deadlines.
• Teamwork is the capacity to cooperate with others and advance shared objectives.
• Ability to adjust to new methods, technology, and tools as data analytics advances.

IIM SKILLS vs Udemy Data Analytics Course

IIM SKILLS

For students majoring in commerce who are interested in data analytics, IIM SKILLS is one of the best providers of online finance and other streams courses. 

A student who successfully completes the course will be fully equipped to work for a large organization because it has been designed in the finest manner possible and is wholly practical in nature.

Qualifications for Our Top Data Analytics Course

IIM SKILLS has very few, if any, pre-requisite requirements to be qualified for the course since we firmly think that education should be accessible to everyone. Anyone may start from the beginning to enter this cutting-edge sector if they are attracted by and have a keen interest in data analytics.

The following are the essential requirements for eligibility:

• An undergraduate degree in any field.
• Basic expertise in computers and technology.
• It may be advantageous to have prior experience in statistics and mathematics, but it is not required.

Since data influences every organization today, this program may assist newcomers and recent graduates in breaking into any field. Those who are currently employed in the field might develop their talents to cause a vertical rise in their career path. This training can help anyone wishing to enter into the lucrative field of data analytics to build a career for themselves.

IIM SKILLS’S Master Certification Data Analytics Course

IIM SKILLS, a reputable brand in the field, provides a Master’s certification in Data analytics. You may attract potential employers by adding the shareable certificate to your accounts on LinkedIn and other social media platforms. Additionally, you can include it in your resume and CV to increase your employability in the eyes of recruiters.

Special Features of This Course:

• Live Data Analyst Training for 6 Months 
• 160 hours of lectures, 100 or more hours of practical assignments, and tool-based instruction
• Master 7+ Tools | 7+ Live Projects | 10+ Case Studies
• 100% Internship Guarantee | 100% Interview Guarantee
• IIM SKILLS’s Data Analytics Master Certification is acknowledged by the Indian government.

How to take IIM skills’s Data Analytics Course

Registration

Registration is the first step in enrolling in this popular Data Analytics course. You can gain access to your LMS account by entering your name, email address, and phone number, followed by the payment of the course cost. The module will include information from all of the course modules and pre-study materials to assist you in determining your course objectives. Access your account and fully explore the course’s components.

Choose Your Batch

The last step is to choose a batch—weekday or weekend, whichever suits your schedule best. You may choose your batch easily depending on your work schedules, past commitments, and other factors.

Who Should Enroll in This Cutting-Edge Data Analytics Course?

The specialists at IIM SKILLS have created a complete Data analysis course that is tailored to the preferences and thought processes of those holding entry-level, middle-level, and senior-level jobs in the business. This course is a superb match for anybody considering a career in the field of data analytics even without any prior knowledge.

While ambitious professionals with an analytical attitude from various educational backgrounds become the finest candidates for pursuing the Data Analysis course. However, at IIM SKILLS, we think that anybody may and should take a course if they wish to use our Data Analysis course to break through in their job.

Generally speaking, if you work in one of the following sectors, the Data Analysis course is appropriate for you:

• Newly minted UG/PG students
• IT specialists
• Experts in banking and finance marketing directors
• Professionals in sales
• Network managers for the supply chain

To effectively effect change in the corporate organization where you work, learn to harness data as much as possible. 

Course Modules

IIM SKILLS has developed this advanced data analytics course to teach and educate students about the real-world trends of data analysis in recognition of the growing relevance of data in market trends. This excellent program puts the complexities of Data Analytics front and center to prepare you for employment as soon as you finish the course. 

Below are the course modules:

• Data Analytics Using Advance Excel (9 Hours)
• Data Analytics Using VBA (15 Hours)
• Data Analytics Using SQL (39 Hours)
• Data Analytics Using Power BI (24 Hours)
• Data Analytics Using Python-1(10 Hours)
• Data Analytics Using Python-2 (10 Hours)
• Data Analytics Using Tableau (15 Hours)
• R For Data Science (20 Hours)
• Data Analytics Using Alteryx (18 Hours)

Course Objectives

This sophisticated Data Analytics course is designed by professionals with the following specific objectives in mind:

• To acquaint learners with the fundamentals of data analysis, including its many forms, data mining, etc.
• To enable students to do data-pulling, -cleaning, -manipulating, and -analyzing business analytics jobs.
• To increase your understanding of how to use data analytics tools like Excel, Power BI, and Tableau.
• Using Python as an alternative to spreadsheets to handle datasets
• To have a thorough understanding of statistical Data Analysis, which supports corporate decision-making

Features of the Course

Free Demo Classes

You are welcome to participate in a brief trial demo session at IIM SKILLS to get an idea of the format, speed, and mentor’s teaching style. You may move to enroll yourself in this excellent data analytics course after you feel confident with the demo session.

Learning Materials

Our comprehensive Learning Management System (LMS) offers a library of pre-session readings, recordings of sessions, and other reference materials to help you progress step-by-step. In the LMS, you may keep track of your progress and obtain any additional materials as needed. No time limits, restrictions on the amount of views, etc.

Outstanding Faculty

The genuine glory of the institute is its outstanding professors, each of whom has years of expertise in their field. In addition to being skilled experts with in-depth topic knowledge, they also possess a deep understanding of effective instructional techniques. 

Before presenting you to more advanced concepts, tools, and practical advice, they cover the basics. Making the most of the acquired abilities will enable you to tackle challenges encountered in the field. Mentors provide trade secrets among other things to prepare you for potential issues at work.

Now, let’s move to Udemy’s Data Analytics course.

Other Professional Courses from IIM SKILLS

• Financial Modeling Course
• Digital Marketing Course
• SEO Course
• Technical Writing Course
• GST Course
• Content Writing Course
• Business Accounting And Taxation Course
• CAT Coaching
• Investment Banking Course

IIM SKILLS vs Udemy Data Analytics Course – Let’s look at the next institute.

Udemy 

The aim of Udemy is to provide flexible, efficient skill development for businesses and people.

With the help of their integrated learning solutions and strategic alliances, they give students the resources they need to develop a workforce that is prepared for the future, boost employee engagement, and meet business objectives. 

They also customize learning to meet the needs of their clients so they may offer the appropriate learning opportunity to the appropriate audience in the appropriate manner.

Data Analytics Course by Udemy: An overview

Udemy has developed The Data Analytics Course to prepare you for the entry-level role that leads to a data science position: data analyst.

Due to the fact that it covers the foundations you’ll need on the job, this training program is fairly distinctive, a crucial feature that is usually overlooked.

Furthermore, they put a lot of effort into selecting lessons that flow well and reinforce one another. At a fraction of the expense of conventional programs (not to mention the amount of time you will save), the course offers thorough training for anyone wishing to pursue a career as a data analyst. Due to the fact that it will help you be ready for real-world activities and ideas that are regularly covered in interviews, Udemy thinks that this course will considerably increase your chances of finding jobs.

Course Modules

• Simple Python
• Seasoned Python
• NumPy
• Utilizing text files
• Data gathering
• Data preparation
• Visualization of data

Udemy believes that everything is presented in the proper sequence and that you won’t get lost along the way because they have included all required stages in video form (not a single one has been skipped). In other words, before you understand how to collect data, we won’t show you how to analyze it.

Perks

• $1,250 worth of services
• Active support for Q&A
• Data Analytics: a complete overview
• Completion certification
• Access to frequent upgrades in the future
• Demo casses

Udemy’s Complete Data Analyst Bootcamp 2023

What you’ll discover:

• Learn how to make combinations, scatter, regression, histogram, bar, line, area, and pie charts.
• Learn how to use Excel, Power BI, and SQL to acquire intriguing, real-time information.
• Recognize various data formats and how they affect memory use.
• Become more knowledgeable about statistics and preprocessing in NumPy
• Complete a capstone project.

Course Highlights: 

• 16.5 hours of videos
• 38 downloadable sources
• Mobile and TV access
• A certificate of completion

Who Should Take This Course: 

• If you want to work as a data analyst or data scientist, you should enroll in this course.
• If you want to have a successful career, take this course.
• The training is perfect for novices as well because it begins with the basics and gradually develops your abilities.

Conclusion on IIM SKILLS vs Udemy Data Analytics Course

To fully understand the course content and the teaching methodology, it is strongly advised that you go through their demo classes before enrolling in the course. 

In order to help you make a better choice for yourself, an article on the IIM SKILLS vs. Udemy Data Analytics Course was to make you aware of the technical components of the course. You will become effective and a market-savvy candidate with strong confidence after doing these sorts of professional courses.

Frequently Asked Questions (FAQs) on IIM SKILLS vs Udemy Data Analytics Course

Q. Is data analytics heavily math-based?

Data analytics is a very mathematical area. For data analytics, a strong background in mathematics, especially statistics, is required. Data analysts must be able to deal with huge datasets, analyze the data using statistical techiques, and interpret the findings using mathematical models. 

To create and execute statistical models and algorithms, they can additionally require computer languages like Python and R. While having a solid foundation in mathematics is vital, it’s also important to keep in mind that data analysts may utilize a variety of tools and software, such as Excel, Tableau, and PowerBI, to assist with the labor-intensive tasks.

Q. Is there a good payroll for a Data Analyst?

Salaries for data analyst may vary, especially with experience and knowledge. The size of the organization, location, and industry may all affect real pay.

Q. Can a new graduate work as a data analyst? 

Yes, recent graduates who possess the necessary degrees and analytical abilities can begin working as entry-level data analysts. Their prospects of finding a job as a data analyst might be improved by gaining experience through internships, projects, or certifications.

IIM SKILLS vs. Simplilearn Data Analytics Course Review

by Swati Varli | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Do you want to start a career in data analytics? If questions such as, you haven’t worked in this field or you have a different education background are holding you back, then you can go for data analytics courses. Even the majority of firms in existence today depend on data analysts and experts are growing more concerned about the skills gap in the industry. here is a detailed analysis and review on the IIM SKILLS vs. Simplilearn Data Analytics Course. 

Now the question is: Which data analytics certification programs you should consider for your better career path in the data analytics field? To help you with that, in this article, we have provided how to start a career in data analytics as well as comparative detail of the best IIM SKILLS vs. Simplilearn Data Analytics Course. 

What is Data Analytics?

The study of examining raw data to conclude such information is known as data analytics. Many data analytics methods and procedures have been transferred into machinery techniques that operate on unprocessed information for the benefit of humans.

Data analytics may help a business boost efficiency, optimize profit or make more strategic decisions.

Data analytics may take many different forms, such as examining what occurred (descriptive analytics), why something occurred (diagnostic analytics), what will occur in the future (predictive analytics), or what should be done next (prescriptive analytics).

For the most extensive data manipulation, data analytics relies on some software tools, including data mining applications, spreadsheets, open-source languages data visualization, and reporting tools.

How to Start a Career in Data Analytics?

We have explained how to start from zero as a data analyst below.

Although some of the information will still apply to individuals who have some of the basic knowledge already, most of it is written with the assumption that you are new to this field.

It mostly depends on the individual how long it takes to become an analyst. The skills may be mastered in a few months by those with some prior knowledge and expertise. Others will need to spend several years of study.

However, in order to succeed in the field, you’ll need several things, such as

• Data-driven innate curiosity
• Crucial programming languages and skills
• A list of relevant projects to build a portfolio.
• An appropriate resume
• Impressive profiles on LinkedIn and other social sites
• Networking with other Data experts

To Achieve All of These Things You Have to Get Qualified in Data Analytics

Most companies will want to see a validation of your data analysis credentials. There are several ways to do this, and a lot of them depend on your knowledge of the subject as well as your degree of education.

For instance, some colleges provide bachelor’s degrees and master’s degrees in data analysis, however choosing this program will demand a significant time and money whereas full-time education will require 3 to 5 years. 

Although, to work in this industry and to become a data analyst, you don’t need a full degree, it can be quite beneficial.

But the easiest way to approach all of the listed things above is through project-based online certification courses. 

If you have a computer and access to the internet, learning online allows you the freedom to study from any location in the world. Additionally, completing an online program is far less expensive and appropriate than attending a university. 

It is the most adaptable way to start a career in it. In fact, you can get your data analytics certification and finish your data analytics career track in less than a year. 

The best online self-study or live courses from reputable institution offers a comprehensive, more diverse curriculum that covers the most crucial data analytics concepts and techniques as well as lots of opportunity for hands-on learning.

When Selecting a Course, Keep the Following List in Mind

• An industry-relevant curriculum
• Industry expert faculty 
• Case studies and live projects that help to build your portfolio.
• A completion certificate.
• Focus on career guidance and interview preparation. 
• Placement assistant

We have chosen the best ones that provide an outstanding data analytics course with all of the criteria listed above. Both the reputable institutions that is IIM SKILLS and Simplilearn have their way to deliver the course.

Recommended Reads

• Business Analytics Courses in Doha
• Data Analyst Courses After Graduation
• Data Analytics Courses in Udaipur
• IIM SKILLS vs Imarticus Data Analytics Course 
• IIM SKILLS vs Digital Vidya Data Analytics Course

We have given the in-depth details of both of the IIM SKILLS vs. Simplilearn data analytics courses comparatively.

About IIM SKILLS

IIM SKILLS was established by Mr. Vaibhav Kakkar and is one of the top leading institutions since 2015. With more than 12+ years of expertise, IIM SKILLS have created innovative and real-world digital education that has benefited more than 35,000 alumni from over 35+ countries across the world and some of the large worldwide network of 350+ job partners.

They provide 100% online education programs in different fields, such as writing programs, finance programs, marketing programs, analytics programs and even training for competitive exams.  

Their skill development courses are beginner friendly and excellent for anybody who wants to start their career or wants to shift their career in the industry, even if you have prior experience or not.

Industry expert faculty will provide you with ongoing support so that you may successfully and swiftly complete each module or solve any queries you have while doing the course.

After successfully completing every course, IIM SKILLS will help you to make your professional path through their placement assistance services. They provide guaranteed internships, career guidance, interview preparation, resume building, and job suggestions.

Recommended Reads

Also Check,

• Data Analytics Books 
• Google Data Analytics Certification
• Data Analyst Interview Questions
• Data Analyst Qualifications
• Importance Of Data Analytics
• Data Analytics Bootcamps

Overview of IIM SKILLS Data Analytics Master Course

IIM SKILLS’ Data Analytics Master Course is a six-month exclusive program excluding a two-month internship guarantee. Their comprehensive learning includes 9 modules with 150+ hour lecture sessions and 100+ hours of practical assignments. Additionally, you can also choose a single module as per your requirements that you want to learn.

This professional course includes 7+ live projects and 10+ case studies with 7+ tools to give you hands-on practice. They provide an optional two-month non-paid internship to help you apply your learning into practice and make you get ready for the industry. Their dedicated placement cell team gives 100+ assured interviews after completion of the course.

This program can assist newcomers and recent graduates in breaking into the data analytics field as their curriculum covers basic to advanced concepts. Therefore, this training also helps anyone wishing to make a change in their career in the data analysis field, even professionals working in this field can also upskill themselves through this course.  

About Simplilearn

Simplilearn is an online learning platform established by Krishna Kumar in 2010.

Online certification courses, master’s programs, job-oriented programs, and other post-graduate credentials in subjects including, cyber security, digital marketing, business analytics, cloud computing, project management, and artificial intelligence are available on the Simplilearn website.

In order to provide online courses that equip students with useful tech and business skills, Simplilearn has worked with top international organizations including Purdue University, Caltech, Microsoft, International Institute of Business Analysis (IIBA), and Amazon Web Services (AWS).

They also provide self-paced courses and boot camps that are suitable for both students and professionals. The interactive projects and sessions on the courses keep students interested.

Additionally, they also provide free courses, the same content as the paid ones, and free material access for only 90 days.

Overview of Simplilearn Data Analytics Course

Simplilearn’s Professional Certificate Course in Data Analytics is an 11-month intensive that covers 6 modules including elective subjects. Simplilearn and the E&ICT academy at IIT Kanpur have collaborated to deliver this program.

Their efforts are focused on helping people acquire the skills they need to thrive in the digital economy. This online boot camp comprises live online classes from industry experts, projects, case studies, 24×7 support, and industry master classes delivered by IIT Kanpur faculty.

All of these services including 12+ hands-on projects and 3 case studies offers learners the best chance to succeed in the professional world.

IIM SKILLS vs. Simplilearn Data Analytics Course: Eligibility Criteria

IIM SKILLS vs. Simplilearn Data Analytics Course: Duration of the Course

IIM SKILLS vs. Simplilearn Data Analytics Course: Mode of Learning

IIM SKILLS vs. Simplilearn Data Analytics Course: Fees of the Course

IIM SKILLS vs. Simplilearn Data Analytics Course: Best For

IIM SKILLS vs. Simplilearn Data Analytics Course: Learning Materials and Access

IIM SKILLS vs. Simplilearn Data Analytics Course: Curriculum

IIM SKILLS Course Curriculum

Simplilearn’s Course Curriculum

IIM SKILLS vs. Simplilearn Data Analytics Course: Tools and Techniques Covered

IIM SKILLS vs. Simplilearn Data Analytics Course: Certification

IIM SKILLS vs. Simplilearn Data Analytics Course: Program Offerings

Program Outcomes of IIM SKILLS Data Analytics Course

• Know the fundamentals of statistics, such as correlation, central tendency, dispersion, and regression – be familiar with Excel at SQL terms such as commands and query universal tool.
• Learn the Python language’s principles including the specific of lists, contributions, branching, sets, dictionaries, objects, and classes.
• Use the ideas of variables, loops, conditions, functions, etc. to develop Python programs.
• Explore how to write and read files in Python while dealing, storing, and loading data with Pandas.
• Using NumPy’s multi-dimensional arrays, Scikit learns machine learning, and Pandas’ data frame management implementation.
• Get a solid understanding of data interpretation in Python.
• Using Python libraries to analyze the data analytics performance.
• Have an extensive grasp of classification approaches, linear and non-linear regression models, and both for the data analysis work process.
• Learn how to effectively use hierarchical techniques and clustering techniques including K-means, DBSCAN
• Learn how to use Excel for Business Analytics
• Learn about Microsoft Analytics and Power BI as a visualization tool.
• Learn about the model and statistics in Tableau and hone your abilities to create interactive dashboards.
• Acquire knowledge of visualization techniques including waterfall, heat maps, treemap, market basket analysis, and Pareto

Program Outcomes of Simplilearn’s Data Analytics Course

• Understand the fundamental statistics and SQL concepts.
• Implement the ideas of variables, strings, functions, loops, and conditional statements in your first Python program.
• Recognize the complexity of Python’s dictionaries, conditions, sets, lists, objects, classes, and branching.
• Utilize Pandas to load, process and save data as well as read and write files while dealing with data in Python.
• Analyze data using well-known Python libraries.
• Learn how to analyze data using Pandas’ Data Frames, Scikit Learn’s machine learning functions, the SciPy library of mathematical functions, and NumPy’s multidimensional arrays in Python.
• Learn more about the Python data visualization libraries such as Matplotlib, Seaborn, and Folium
• Learn the fundamentals of R in depth and develop your own R scripting skills.
• Learn R programming and how to execute different statements in R.
• Learn about the newest Power BI analytics and visualization capabilities from Microsoft.
• Learn the Tableau basics, master Tableau statistics, and create interactive dashboards.
• Learn how to use visualization tools including market basket analysis, waterfall, heat map, treemap, Pareto and Gantt charts.

Ideal preparation for most entry-level positions in the sector is strong data analytics skills that both of these data analytics courses will provide you.

Through these certifications, it will indicate that you know how to handle each step of the data analysis process, including the creation of data visualization and mining, and everything in between.

Languages for Programming such as Python

• Querying languages such as SQL
• Tools for data visualization such as Tableau
• Building data sets
• Optimization of data
• Techniques of machine learning
• Statistics analysis
• Regression analysis

As Well as Some Soft Skills Including,

• Decision making
• Critical thinking
• Problem-solving
• Detail oriented
• Communication skills
• Presentation skills

Other Professional Courses from IIM SKILLS

• Financial Modeling Course
• Digital Marketing Course
• SEO Course
• Technical Writing Course
• GST Course
• Content Writing Course
• Business Accounting And Taxation Course
• CAT Coaching
• Investment Banking Course

IIM SKILLS vs. Simplilearn Data Analytics Course: FAQs

Q. How can I obtain data analytics certification?

You might enroll in one of the data analytics courses we have listed in the article, or you could carry out and hunt for another data analytics certification that is acknowledged in the field.

Make queries, register, learn, study, do assignments and projects, pass the examination, and get certified. There could be more phases along the way, depending upon the path you ultimately take, but that is the overall procedure you can expect.

Q. How much time does it take to earn a certification as a data analyst? 

Generally, it might take as short as 4 months in a focused program or as long as 4 years in a university degree program to become a certified data analyst from the beginning. Depending upon how much you want to up skills, it might take you a few days or months to master new skills.

Though both of these courses will take 6 to 11 months for your certification.

Q. What kind of companies you can work for in the data analytics field?

The data analytics field is much diversified and you can work in related sectors such as,

• Entertainment and Media
• Health and Fitness
• Logistics and Transport
• Education
• Finance
• Marketing
• Retail

IIM SKILLS vs. Simplilearn Data Analytics Course: Conclusion

That’s it. Two top data analytics courses from IIM SKILLS and Simplilearn are discussed in detail. We hope you were able to find something that satisfies your learning needs and your budget.

You can do more extensive background checks on the program such as reading unbiased ratings, and graduate testimonies and carefully analyzing the course material before making any decisions.

Then, decide the skills you will need to get for any ideal hiring managers, and we have provided contact details of both of the institutions to discuss any concerns you might have with an advisor.

IIM SKILLS vs IIM Kozhikode Data Analytics Course Review

by Sana Aijaz | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Having never handled data before? Do you want to begin your data analytics career? We have you covered. Data has evolved into a universal requirement for all of us. Jobs in the data industry are in high demand right now. Attending the right Data Analytics course should be a top priority in your life. Knowing that, in this highly competitive environment, choosing the right route will prove to be a very difficult assignment for you. You are welcome to read this article, IIM SKILLS vs IIM Kozhikode Data Analytics Course, to go deep into a new skill or just dip your toes in to see if it’s suitable for you.

You don’t need to worry if you have any concerns about taking this course because you can easily enroll even if you lack the necessary school credentials or professional experience in the sector. Data analysts are in high demand, and there is a shortage of skills, due to which industry experts are concerned. Here is a comprehensive examination and analysis of the IIM SKILLS vs IIM Kozhikode Data Analytics Course which might assist you in keeping an eye on things and making smart decisions.

Now that we’ve reached this point, let’s talk about where to begin. In reality, the first and most important item to consider and research is what data analysis is actually and why one should choose to follow this course of study.e., what is the need for data analysis.

Looking for other best options? Dig in here:

• Data Analytics Courses in Mumbai
• Data Analytics Courses in Delhi
• Data Analytics Courses in Kolkata
• Data Analytics Courses in Bangalore
• Data Analytics Courses in Pune
• Data Analytics Courses in Gurgaon

What Actually is Data Analysis?

Global businesses produce enormous amounts of data each year. Log files, web servers, transactional data, and various customer-related data are all examples of how this data may be presented. Additionally, data has been produced at a rapid rate through social media platforms and applications like Facebook, Instagram, Twitter, and WhatsApp.

Businesses want to use this data to extract value from it and make business choices, which is where data analytics comes into play. Data analytics boost the efficiency and speed of international trade. Since it is the act of analyzing and examining undetected patterns, unearthing correlations, and gathering valuable knowledge that can be applied to produce business projections, data analysts examine and analyze enormous data sets.

A few years ago, a firm would have manually collected information, performed statistical and intricate analytics, and discovered information that might be used for decisions in the future. However, in the modern world, that organization can quickly recognize that business when a decision needs to be made.

The majority of businesses have access to big data, and most of them are aware of the need to use it carefully and to the fullest extent possible. These experts use several cutting-edge technologies and methodologies in their work as data analysts.

Whatever we have learned in data analytics, we are now in a position to explore its uses:

The uses of data analytics are numerous. In a variety of business endeavors, breaking down large amounts of information can increase productivity. Organizations can succeed in a relentlessly competitive world by improving execution.

Advantages: –

It becomes more crucial for your company to understand how to use data analytics as its importance in the corporate world grows. Several benefits of data analytics include:

• Improved Decision Making
• More Successful Marketing
• Better Customer Service
• More Effective Operations
• Data Analytics increases maximum efficiency

Data analytics is also used to identify fraud, which improves efficiency and lessens threats to financial institutions.

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However, using data analytics extends beyond increasing profits and return on investment. Data analytics can help with health informatics, criminal justice, and environmental protection by supplying crucial information. Data analytics activities use these techniques to improve the world.

Data analytics have long been used extensively in the healthcare industry. Examples of how data analytics is transforming healthcare include the ability to predict patient problems, allocate resources effectively, and perfect individual methods. Machine literacy is reshaping the pharmaceutical industry as well. It is a difficult task with many factors to discover new medicines.

The Discovery of new medicines can be significantly improved by machine literacy. In order to comprehend patient needs and forecast their deals, pharmaceutical corporations also employ data analytics.

Thankfully Data Analytics have a significant advantage on the companies. Using Data Analytics is a skill that is becoming more and more valuable because the margin for error in decisions is getting less and thinner. Gaining insights, planning ahead, and interpreting the unprocessed transactional data that many businesses today keep on a digital platform is necessary.

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Several reasons why it’s crucial to take a data analytics course

To comprehend trends and patterns from the enormous amounts of data being gathered, data analytics are crucial. It aids in cost savings, cost forecasting, audience understanding, and company performance optimization. You must research trends if you want to be successful in the digital age that is fostering the development of a knowledge-based society. Every business, from start-ups to multinational corporations, relies on data to develop better business plans for the future.

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The internet has made it simple for everybody in this information age to obtain information whenever and wherever they need it. Now imagine that you are the individual who these businesses rely on before they make any significant business decisions. Here are several justifications for enrolling in a data analytics course:

Data analytics transforms businesses, influencing decision-making and marketing tactics, and impacting strategies and tactics for both large and small organizations.

• Data analytics is a demanding career, seeking skilled candidates with relevant skills. A certified degree is essential for success. Whether new or technical, data analytics is crucial for career growth and future benefits.
• The Science and Technology Committee predicts 58,000 job creations and £216bn economic contribution by 2021 due to rising demand for data specialists. With a social media presence, data analytics professionals are essential for businesses, making this a wise career move.
• Data-dependent industries offer diverse career opportunities in business intelligence, marketing, sales, finance, data assurance, and higher education.
• Data analytics offers freelancing opportunities and potential for well-paid consultant positions for major firms. IT-based job, with an internet connection, provides global income and work-life balance.

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IIM SKILLS vs IIM Kozhikode Data Analytics Course – A Detailed Analysis 

Now that it is relevant that one should pursue a data analytics course due to its advantages and effectiveness, we would undertake thorough research over the top courses and leave it up to you to determine which one course would be appropriate for you.

IIM SKILLS

IIM SKILLS is a renowned organization that offers various skill development courses in India. They provide training programs in data analytics, digital marketing, content writing, search engine optimization(SEO), social media marketing, and other in-demand skills.

Key Features:

IIM Skills has a team of experienced professionals who are experts in their respective fields. They have extensive knowledge and practical experience that they bring to the training programs. IIM SKILLS entered the teaching profession after over five years of operating an educational blog that reached over 1 million internet users worldwide.

The courses offered by IIM SKILLS are designed to provide in-depth knowledge and skills required to excel in specific domains. The course content covers both theoretical concepts and practical applications.

The 6-month Data Analytics Course offered by IIM Skills includes a 2-month unpaid internship training. 160 hours of lecture time are included, along with 100+ hours of practical assignments and 7+ hours of live projects. You can master 7+ tools using its 10+ case studies. Additionally, it offers a guaranteed internship with learning that is based on actual experience.

Duration – 6 months of Training + 2 Months  Internship (Non-Paid)

Topics covered in this course include:

• Introduction to data handling
• Data Manipulation Using Functions
• Data Analysis and Reporting
• Data Visualization in Excel
• Overview of Dashboards
• Create Excel dashboards utilizing Pivot Controls.

Acquire knowledge about the analytics tool Covered:

• SQL
• Alteryx
• R
• Excel
• Power BI
• Python
• Tableau

Skills acquired upon completion of the course:

• Acquire knowledge of the basics behind Python programming, including variables, conditions, loops, and functions.
• Familiarize yourself with terminology from the statistical lexicon, such as central tendency, correlation, dispersion, and regression. – SQL concepts like SQL command, and query universal tool in Excel.
• Develop business analytics skills with the help of Excel
• Understand the concepts of Python including those related to lists, dictionaries, sets, contributions, branching, classes, and objects.

• Practice reading and writing files, using Pandas to work with, load, and save data, and other data-related tasks in Python.
• Gain a solid understanding of data interpretation in Python by working with multi-dimensional arrays in NumPy, managing Data Frames in Pandas, and implementing machine learning with Scikit-Learn.
• Possess a command knowledge of linear and non-linear regression models and be well-versed in classification techniques for the job of data analysis
• Develop proficiency with clustering techniques such as K-means, DBSCAN, and hierarchical clustering.
• Become acquainted with Microsoft’s Power BI analytics and visualization tools;
• Acquire knowledge of the Tableau model and statistics; and discover how to create interactive dashboards.

The Available Course Modules Are:

For each module of the course, the tuition fee of INR 19,900 plus taxes, is the same. According to your needs, you can choose any of the modules. The Data Analytics Master Course is priced at Rs  49900 + taxes

Other Professional Courses from IIM SKILLS

• Financial Modeling Course
• Digital Marketing Course
• SEO Course
• Technical Writing Course
• GST Course
• Content Writing Course
• Business Accounting And Taxation Course
• CAT Coaching
• Investment Banking Course

Solid Elements of IIM SKILLS Data Analytics Program are:

24/7 Accessibility:

These online data analysis courses provide convenient, anytime access to education, eliminating distance, traffic, and time-consuming commuting. With laptops and internet connections, students can learn data analysis with advanced interactive sessions and student-centric pedagogy.

Flexible Scheduling:

IIM SKILLS offers flexible scheduling for students, professionals, housewives, and others, offering weekday and weekend batches to accommodate diverse schedules and commitments.

Master Certification:

IIM SKILLS offers a Master’s certification in Data Analytics, enhancing employability by adding it to LinkedIn, resume, and CV, attracting potential employers.

The institute boasts exceptional faculty members with extensive experience, training professionals with subject-matter knowledge and strong pedagogical practices. They introduce fundamentals, complex ideas, tools, and helpful hints, preparing students for real-industry problems and industry secrets.

Tools:

The digital economy relies on data, speed, simplicity, and expertise. Tools and software accelerate and simplify complex procedures, bringing about real change in less time. At IIM SKILLS, learn to use top-notch data analytics tools to produce error-free work and stay ahead of competition.

Free Demos: 

Before enrolling in their data analytics program, IIM SKILLS gives a free demo session to give students an overview of the course structure, methodology, and pace.

Exceptional faculty:

There are a lot of data analytics courses provided at IIM Kozhikode (Calicut). To name a few are Data Spark, Techolas Technologies Pvt Ltd, Luminar techno lab, Quickxpert, IIM Kozhikode,360digiTMG Data Analytics Course, and many more. We are going to discuss one of them in detail.

Complimentary services:

IIM SKILLS offers complimentary services like backup classes, resume preparation, interview support, and job referrals. These services are available at no extra cost, ensuring a lifelong commitment to learning. Students can access updated resource material through their LMS account and connect with mentors anytime to address career-related dilemmas.

Learning Resources:

The LMS (Learning Management System) of IIM Skills offers a vast collection of pre-session study materials, session recordings, and supplemental material. This system makes it simple to track progress, allowing monitoring and unrestricted access.

Courseware:

Courseware is an extensive collection of cutting-edge modules that address the fundamentals of data analysis with an emphasis on the what, why, when, and how. Starting with fundamental data analytics and moving on to more complex topics like Excel, Power Pivot, data structures, Power Bi, Tableau, and Python, it provides a well-balanced mix of theoretical and practical principles.

IIM Kozhikode Professional Certificate Program in Data Analytics for Business Strategy:

IIM Kozhikode’s Executive Data Analytics Program is a one-of-a-kind program that focuses on preparing professionals for leadership roles by building on their experience and innate skills through best-in-class, in-depth coursework, and real-world exposure. Professionals such as Senior Managers, Consultants, Early-Stage Professionals, Business Owners, and Entrepreneurs are targeted for this program.

IIM Kozhikode’s Data Analytics for Business Strategy program offers essential tools for real-world problem-solving, refining decision-making, and acquiring a data-driven analytical framework for critical business challenges and career advancement.

Key Highlights:

• Analyze Data Analytics techniques, resources, and applications to maximize your digital marketing efforts.
• Gain practical knowledge by engaging in high-impact learning via industry case studies.
• One-to-one executive coaching sessions and career services sessions by the institute
• Certificate by IIM Kozhikode
• Following successful program completion, IIM Kozhikode Executive Alumni Status.
• Improve ROI and business growth by being adept at data-driven decision-making.
• Interact with notable industry professionals and eminent IIM Kozhikode faculty.

Eligibility:

The applicants should at least be graduates/Diploma Holders (only 10+2+3) from a recognized university in any discipline.

They should also have at least a year’s worth of experience

What will you learn:

To obtain a thorough understanding of the Data Analytics Expert’s position in the difficult business environment of today.

Learn about the use of predictive modeling in various fields

Find out how analytics may be applied to filter and evaluate options as well as generate new product ideas.

Discover data analytics techniques for forecasting, planning, and optimizing inventories.

Recognizing fundamental methods for data collection, R/IBM SPSS, data coding, statistics, data mining, predictive modeling, creation of product strategies, and marketing analytics.

Enhance advanced functional concepts like financial decisions, stock price forecasting, digital/social media, campaign optimization, operations, supply chain, inventory, HRM, and talent management.

Who should do this course?

Early-stage professionals seeking to build a career in the fields of sales, marketing, product development, and branding.

Leaders and senior Managers who wish to acquire a nuanced understanding of the applications of Data Analytics in order to fabricate superior business strategies.

CXOs, IT specialists, and consultants who aim to assist their clients in making connections between disparate data points by using the appropriate combination of strategy, insight, and data analytics.

Business owners and entrepreneurs who are committed to using data analytics tactics to drive customer-centric decision-making.

Course Modules for this Course are:

Important Points:

While the IIM Skills Data Analytics course is available to everyone, the IIM IIM Kozhikode Data Analytics course is exclusively open to Indian residents.

While IIM Kozhikode does not promise or guarantee a job or advancement in your profession, IIM Skills Data Analytics Course guarantees 100% placement aid and job support.

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Frequently Asked Questions Regarding IIM SKILLS vs IIM Kozhikode Data Analytics Course:

Q1. Which businesses in the data analytics sector are available for employment?

The data analytics industry is very diverse, and you can work in related industries including,

• Logistics and Transport
• Education
• Entertainment and Media
• Health and Fitness 
• Finance
• Marketing
• Retail

Q2. Why is it advantageous to be a data analyst?

Data analysts frequently have a mix of SKILLS, including technical proficiency, excellent communication, and leadership traits. Because of this, professions in data analysis provide workers with a wide range of employment options, a high potential for financial reward, and thrilling leadership positions with the ability to influence the future.

Q3. What are the most important qualifications for a data analyst?

• Ability to analyze
• Critical Thinking: Data analysts are frequently tasked by businesses with both data collection and data interpretation for a particular purpose.
• Problem-solving. Technical problems are frequently encountered by data analysts while performing their tasks.
• Statistics.
• Detail-oriented work.
• Domain expertise

Concluding Thoughts on IIM SKILLS vs IIM Kozhikode Data Analytics Course

The vital discipline of data analytics entails the analysis, interpretation, and visualization of data in order to derive insightful conclusions and make deft judgments. Learning data analytics has become extremely advantageous for people looking to stay competitive in the job market and spur corporate growth due to the rising demand for data-driven initiatives across a variety of industries.

Ultimately, the topic of data analytics is one that is tremendously intriguing. The way business is conducted around the world is changing as a result of this cross-disciplinary field, which relies on statistical analysis of massive volumes of data.

I hope the courses I’ve described above will be useful to you as you choose a data analytics course to pursue and develop your career.

IIM SKILLS vs Edvancer Data Analytics Course Review

by Priyanka Sharma | Nov 2, 2024 | Courses, Data Analytics, Institute Review

If you are eagerly searching for a career in data analytics and guidance before selecting the right educational institution for the course, this is the right page. In this read IIM SKILLS vs Edvancer Data Analytics Course, we have covered all necessary details about the data analytics course and included details of two Data analytics educational institutes. Data analytics is one of the most important and remunerative fields in today’s business world. As technology’s influence expands across all industries, it generates vast volumes of data that can provide insightful knowledge about the industry. Over the past some years, the data technology industry has experienced growth as a result data analytics skills growing day by day. Let’s discuss data analytics briefly in this article of IIM SKILLS vs Edvancer Data Analytics Course.

What is Data Analytics?

Data analytics is a term that broadly describes all the procedures and equipment needed to analyze a set of data and derive significant conclusions from it. The term “analytics” refers to a wider range of methods and instruments for data analysis. In-depth knowledge in this field will be provided through the Data Science Full Course to help you succeed in your job as a data scientist.

For decision-making insights, data collection must be combined with data analysis. For continued growth and development, data analytics aids organizations and sectors in making sense of the enormous volumes of information. Companies today and in the future will be successful or unsuccessful depending on their investment in data analytics solutions.

Analytics business tools can be quantitative, like statistical tools or software, or qualitative, like quality-of-life surveys in the medical area. They separate valuable data from irrelevant data, extract useful data, and then divide and analyze the data to identify patterns and numerical statistics that can support a lucrative change.

In all big organizations, data analytics is a crucial part of developing strategies since it aids in forecasting consumer trends and behavior, boosting corporate productivity, and making decisions that are supported by facts.

What Data Analytics Components Are Available in the Course?

Any number of data can be processed using a variety of techniques.

• Data mining: This process reduces vast quantities of unusable raw data into manageable pieces. To develop correlations between different data groups, they also examine the relationships between various data groups and spot anomalies in data groups. In many clinical trials, data mining is utilized to find behavioral patterns in patient data.
• Text analytics: Text analytics is used to create email predictive typing and auto-correction on your phone. Creating algorithms entails processing enormous amounts of unstructured text. It comprises language analysis, textual data pattern identification, and the separation of spam emails from important ones.
• Data visualization -Data visualization entails presenting data in a visual way for improved evaluation. It aids in simplifying difficult facts. Pie charts, graphs, bar charts, and histograms are a few examples.
• Business reasoning -Business reasoning is the process of turning data into insights that a company may use. These findings are utilized to determine pricing and product placement strategies for businesses. Utilizing visual tools like heat maps, pivot tables, and mapping strategies is part of it.

Why Do Technology Enthusiasts Desire to Have a Career in Data Analytics?

If you’re reading IIM SKILLS vs Edvancer Data Analytics Course, you probably already have some interest in careers in analytics. You may be aware of these positions’ substantial earning potential and great demand. Even though both of these statements are unquestionably true, there are still other factors to take into account. 

• Various job roles- There are many various professions in the subject of analytics, such as data scientists, business analysts, and data engineers, so you can probably find one that fits your interests and professional qualifications.
• Technological application– To extract insights from data, analytics specialists use cutting-edge technology and methods, which can be both thrilling and difficult.
• Effective employment– The success of an organization may be significantly impacted by the decisions made by companies with the assistance of professionals in this field.
• Career growth– With many professionals beginning in entry-level positions and working their way up to management positions, you’re likely to find prospects for career progression as you advance in this area.
• Job stability and security– The demand for analytics workers is projected to increase going forward as data becomes a more valuable asset for businesses, ensuring job security in the sector.

The flexibility and opportunities offered by contemporary firms, the availability of constant technical learning, and the opportunity to collaborate with like-minded professional experts are additional benefits of working in a Data Analytics position.

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A Well-detailed Analysis of the IIM Skills Vs Edvancer Data Analytics Course. 

IIM SKILLS

IIM SKILLS, is one of the best online educational institutes, offering several professional courses designed by highly qualified industry experts to shape your career and help you to choose the right decisions depending on your preferences. It is recognized by Govt. of India. Data Analytics is one of the professional courses offered by IIM Skills that cover everything from the most elementary to the most complicated topics in the syllabus through a blend of theory and practical projects.

 IIM SKILLS provide comfortable learning options, including students, working professionals, housewives, retirees, and those with other specific characteristics who may or may not have explicit free time to visit physical institutes and devote to study. To provide you the flexibility to commit to learning new skills without compromising your career or personal responsibilities, IIM Skills offer flexible batches that include both weekday and weekend batches.

IIM Skills offers 6 months of live Data Analytics master course with anytime anywhere access and 100% tools-driven training. The Data Analysis course is appropriate for any learners who fullfil criteria such as UG/PG fresher students, IT specialists, Banking and financial experts marketing executives, professionals in sales, network managers for the supply chain, etc.

IIM Skills provide learners with lifetime access to updated resource material through their LMS account to ensure that studying at IIM SKILLS is a commitment you make to yourself. Furthermore, if necessary, they can get in touch with your mentors whenever to figure out problems with your job.

Eligibility Criteria for Data Analysis Course

IIM SKILLS has very few if any, pre-requisite requirements to be qualified for the course since we firmly think that education should be accessible to everyone. Anyone can start from the beginning to enter this cutting-edge sector if they find themselves interested in and have a keen interest in data analytics.

The following are the basic eligibility requirements:

• An undergraduate degree in any field.
• Basic understanding or expertise in computers and technology.

This Data Analytics training influences and fuels every organization today, so this program is designed to assist newcomers and recent graduates in breaking into any field. Those who are already employed in the field can develop their talents to cause a vertical rise in their career path. This Data Analytics training can help anyone wishing to transition into the lucrative field of data analysis build a career for themselves there.

Objectives:

• It introduces trainees to the fundamental concepts of data analysis, including its various forms, data mining, etc.
• To enable students to perform data-pulling, -cleaning, -manipulating, and -analyzing business analytics jobs
• To increase understanding of data analytics tools like Excel, Power BI, and Tableau
• using Python as an alternative to spreadsheets to manipulate datasets
• to have a thorough understanding of statistical Data Analysis, which supports business decision-making.

Course Modules

Basic and Advance Excel

• Data Handling
• Functions for Controlling Data
• Data Analysis and Reporting 
• Data Visualization in Excel
• Creation of dashboards, charts, graphs, maps, and stories to visualize and analyze data

Basic Visual Application

• VBA (Visual Basic for Applications) Introduction
• Key Elements of Programming Language 
• Programming Construction and Functions & Procedures in VBA (Visual Basic for Applications) 
•  Objects & Memory Management 
• Managing Code Accessibility and Interacting with the User

Reporting and integration features for SQL Server

• • Principles of the SSRS
  • Developing Parameters for Visualization

• SSRS Visualization Creation

• Understanding SSIS’s Principles
• Understanding Packages Building and Integrating Packages Building Projects Using SSIS

Use of Python in Data Analytics

• Overview of Basic Statistics
• Basic Introduction to Mathematics
• Python Core: Introduction to Analytics and Data Science
• NumPy (Numerical Python) operations
• Summary of Pandas
• Data Cleaning with Python, Python Data Analysis, Python Data Visualization, Statistical Techniques, and Hypothesis Testing

Power BI

• Introduction of Modeling and the Data Preparation
• Data Analysis Expressions
• Reports Development (Power BI Visuals)

Tableau

• Data handling and report writing (with Tableau visuals)

Tools Knowledge in Advanced Data Analytics Syllabus

• Excel: The best platform for squeezing information to obtain useful business insights is Excel. To increase your understanding of how to use data analytics tools like Excel, Power BI, and Tableau. Students will be able to learn how to use Excel for data analysis so they can interpret data through natural language queries without expending too much energy on complex formulae. By tracking patterns, trends, and summaries in data, you can inform the design of your upcoming campaigns.
• Tableau: Tableau is yet another outstanding tool for data analysis and visualization.
• Power BI: Power BI is a cloud-based analysis solution that produces data insights. The unique Data Analysis course program teaches you how to extract data from sources and visualize it using Power BI.
• Python: Python software is user-friendly since it can run on Windows, macOS, and Linux. Python is a high-end programming language used to build and manage data structures because of its simple syntax and dynamic semantics. Get comfortable with Python to efficiently analyze, manipulate, and represent complicated sheets. 

Course Fee: ₹ 49,900 + 18% GST.

Discount: Group discount of 10% on 3 or more registration.

Internship:2 Months Internship

Placement: Support in resume building, Job referrals, and Interview  

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EDVANCER 

EDVANCER EDUVENTURES is founded by IIT and IIM alumni to offer such a platform to those learners seeking to advance their professions in technology and the best educational opportunities possible by well-qualified industry experts. Students can learn data analytics courses from the best faculty around the world and industry experts without moving from home, at their best comfortable pace.

Advanced Certification in Data Analytics-IIT Kanpur is the name of the program. Predictive analysis, data visualization, and data analysis are all covered in the course modules. Tools like R, Tableau, and SQL are included.

IIT Kanpur experts and industry specialists from Edvancer offer the program. The most intriguing benefit of this institute is lifelong access to the course materials even after the course is over.

The EDVANCER helps learners to get the ability to be job-ready with practical content. It helps further in job placement with appropriate career advice are further features. The benefit of the Data Analytics course from EDVANCER is to get complete core skills in the highly in-demand subject of Predictive Analytics & Data Visualization.

The course and its contents are arranged in an online classroom in a simple informative way.  The faculty carried the course and all of the sessions so well. Every concept that was taught by the faculty are designed with deep research, and the practical demonstrations they provided throughout lectures were incredibly helpful to the students.

Eligibility Criteria

• Graduate or in the final year of graduate or post-graduate discipline.
• No prior technical or mathematics background is welcomed.

Skills That Students Need to Learn

• Basics of Mathematical and statistical for data analytics
• coding abilities
• knowledge of data analytics tools
• Programming skills
• Soft Skills like – communication, presentation, analytical abilities, etc.

Objectives

• Students can learn the convenient fully interactive, online classes from any location.
• In this course, learners will be able to get knowledge of R, SQL, Tableau, Predictive Analytics, and Data Visualization.
• Engage with the instructors in the classroom as you would in a regular class by asking them questions.
• Get lifetime access to the course materials and all of the recorded videos from your classes, as well as 100% placement assistance after certification to help you start a career in data science.

Course Content 

• Data Analytics in the Value of R
• Python Foundations 
• Data Evaluation in SQL
• Data Visualization in Tableau 

Duration: 90 hours

Fee: Rs. 24,995 + GST (Live Online), Rs.19,995 + GST (Self-Paced)

Mode of Classes: Online classes on weekends or recorded classroom videos are available.

Placement: Support in resume creation, job referral through email, and interview scheduling.

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Frequently Asked Questions (FAQs)

Q. What are the advantages of data analytics for businesses?

Data analytics is a crucial resource for businesses looking to gain a competitive edge. Here are several industries where data analytics might be advantageous.

• The development of Product: Prediction and knowledge discovery capabilities are made possible by data analytics. It aids in comprehending the business or understanding the process that is now operating and offers strong fundamentals for forecasting future results. With the use of data analytics, firms can better understand the state of the market, adjust their processes, or determine that they need to produce new products to address market demands.
• Targeted content for marketing: Marketing campaigns are more client-focused when they are more aware of what clients want in advance. It helps businesses to target a particular subset of their whole customer base with customized advertisements. They can use it to evaluate which consumer base group will respond to the marketing the best. Additionally, it lowers the cost of persuading a customer to buy and increases the general effectiveness of marketing initiatives.
• Financial effectiveness: Data analytics can assist businesses in finding more chances to optimize operations or raise profits. It assists in spotting prospective issues, doing away with the need to wait for them to arise before taking appropriate action. This enables businesses to determine which operational areas are error-prone and which ones need to be addressed as well as which activities have produced the best overall outcomes under different circumstances.

Q. What job responsibilities are offered after completing the data analytics course?

There are several different job functions where analytics are employed. The Data Analytics course offers some selected distinct career roles such as:

Job Responsibilities of Business Analyst 

• Analyzing data to assist businesses in making better decisions or achieving targeted goals.
• Presenting data through data visualization tools.
• Obtaining heavy volumes of informa

Responsibilities of Business Analyst

• Recognizing and evaluating business difficulties.
• Creating solutions for businesses that enhance performance.
• Engaging in communication with stakeholders 

Job Responsibilities of Marketing Analytics Manager

• Data collection and analysis for marketing strategies.
• To Increase the efficiency of marketing initiatives with data optimization.

Job Responsibilities of Financial Analyst

• Data collection and analysis of financial transactions to assist in business decisions.
• Discovering market trends 
• Developing patterns in financial data
• Keep an e financial projects, models, and forecast trends.

Job Responsibilities of Quantitative Analyst

• Technical use of mathematics and statistics in financial modeling and other financial systems to assist organizations.
• Identifying market patterns and trends using data analytics.
• Discovering and implementing investment strategies for businesses.

Job Responsibilities of Risk Analyst

• Recognizing and evaluating different risks 
• Make blueprints to mitigate potential risks for businesses.
• Implementing and managing risk management approaches.
• Maintain communication with business stakeholders to collect essentials and advice appropriate recommendations.

Q. What fundamental skills are required for data analysts?

Answer: There are some skills required for a Career in Data Analytics. As there are several skills of the analytics jobs required to include the same fundamental competencies. Data Analysts required a variety of technical talents in addition to essential and core analytical, problem-solving, and communication skills. Below, we’ve highlighted a few of the most significant. 

Different programming languages 

The ability to deal with a variety of programming languages is ultimately required to work in data analysis. Even while you might be attempting to select between Python and SQL, for instance, to work in analytics, you’ll eventually need to become an expert in both. 

Similarly, most analysts have experience with languages like R and Julia. The best course of action is to decide what type of analyst you want to be and to begin studying the most pertinent language.

Expertise in Data visualization

New employees or interns must be an expert in data visualization to effectively convey their work. Once more, Data Analysts or specialists frequently like languages like Python and R, but technologies like Tableau and Power BI are also valuable to master because businesses frequently utilize them for their business decision-making.

Conclusion on IIM SKILLS vs Edvancer Data Analytics Course

Technology and other sectors are being revolutionized by the field of data analytics. Data-driven work is growing more prevalent across almost all industries, which has an impact on both the employment that is accessible and the skills that are needed. More facets of the economy, society, and everyday life will depend on data as more data and analytical methods become available. Particularly at the undergraduate level, teaching plays a crucial role in increasing students’ exposure to data science and the pool of data analytics talent.

Opportunities and Options for Undergraduates in Data Analytics provides a vision for the emerging undergraduate field of data analytics.  to land a job as a Data Analyst so recent grads can use their technical expertise and experience to offer valuable insights. to become a member of a creative team that values making decisions based on facts and makes use of cutting-edge technology.

IIM SKILLS vs. IIM Calcutta Data Analytics Course Review

by Swati Varli | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Do you want to study data analytics but are unsure where to begin? Then, this article is for you. Data analytics careers have been highly popular in recent years due to the growing reliance on big data to drive business success. To put your feet in this industry, you need an excellent educational background and necessary skills. But, let’s say you don’t have a degree or have a degree in a completely unrelated profession. In that case, you can develop the necessary skills via different strategies, such as certificate programs or university courses. Here in this article, we have discussed the best IIM SKILLS vs. IIM Calcutta Data Analytics course that can help you grow in this industry.

What is Data Analytics?

Data Analytics is the science of transforming raw data to find insights and provide answers that can be used in many industries.

To collect, arrange, and evaluate insights that help companies make better decisions; it uses multivariate tools and techniques with a broad range of strategies with different objectives. 

Numerous efforts may be supported by data analytics; you will have a clear understanding of where you are, where have you been, and where you want to go thanks to the combination of various data analytics components.

Businesses may increase marketing efforts, revenue, security, and operation efficiency via data analytics. Today’s technologies and methods for data analytics are widely available and essential for firms of all sizes from significant healthcare analytics to the small climate change community actions.

Function of Data Analytics

A solid understanding of the procedure for filtering and arranging disorganized data is essential if one is to have an in-depth practical understanding of what analytics is.

Data analytics is important in the following ways, 

Even if every other sector is using this resource’s vast potential, data analytics can be important in the following ways:

• More accurate information for trend analysis
• More practical and customer-focused products
• Promoting energy efficiency and sustainability
• Effective marketing initiatives
• Improvement of cyber security projects
• Automating production processes
• Business risk anticipation and reduction
• Better insurance health and clever saving strategies
• Development of advanced prediction algorithms and general public customized healthcare

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Ways to Use Data Analytics

After looking at what data analytics is and its function, let’s discuss some applications for it.

Better Customer Care

• Data analytics enables you to customize customer care to their needs. Additionally, personalization is offered and client relations are strengthened. 
• Data analysis may disclose details about the preferences, issues, and more of your clients. You can make better suggestions for products and services thanks to data analytics. 

Improved Decision Making

• Data Analytics eliminates guesswork and manual work. Whether it be selecting the appropriate content, managing marketing initiatives, or creating products. 
• Decisions made by organizations can be based on the insight gained through data analytics that results in improved outcomes and satisfied clients.

Operations Efficiency

• With the use of data analytics, you can optimize your procedures, reduce costs, and increase output. 
• By having a better grasp of what your audience wants, you can spend less time producing advertising and material that doesn’t appeal to them.

Effective Marketing

• Data Analytics provides you with useful information on how your campaigns are performing. This helps in optimizing their performance. 
• Furthermore, you may discover potential clients who are most likely to engage with a campaign and turn into leads.

After knowing all of this information about data analytics, you can tell companies across all industries want experts who can gather data, evaluate it, and extract actionable, data-driven insights from it which can help them address major business problems. As a result, data analysis can become the most lucrative career in the future.

There are many ways to land your first job in this in-demand industry and there are multiple positions for data analysts available in a variety of sectors. Whether you are starting in this field or switching to a new line of field. You should begin by gaining basic information if you are new to data analysis.

While giving you job-ready skills, a general overview of data analytics might assist you in determining whether this career is a suitable match.

A degree in a relevant field, such as computer science, information technology, math, statistics, economics, finance, or corporate information systems is typically required for entry-level or advanced positions as a data analyst.

Due to the fact that it indicates a strong core understanding of essential mathematical concepts, many firms look for applicants with these backgrounds.

Gaining practical experience applicable to actual working conditions might be helped by a postgraduate degree or certification course.

We have chosen the best data analytics professional course from IIM SKILLS and the business analytics executive program from IIM Calcutta. Both of the analytics courses will give you an in-depth understanding and practical aspects of the industry. 

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So let’s see the course review of IIM SKILLS vs. IIM Calcutta Data Analytics Course in detail

About IIM SKILLS

IIM SKILLS is one of the top education platforms that provide skill-based course learning and was established by Mr.Vaibhav Kakkar in 2015.

IIM SKILLS makes it simple for newbies to comprehend each subject clearly by breaking down difficult ideas into an easy practical manner. 

All of their courses are informative and inspiring which will undoubtedly surpass your expectations and match your requirements with affordable prices. 

In-demand fields such as finance, marketing, analytics, writing, and competitive exam coaching will assist you in upskilling your profession in a few months through their live online and self-paced learning methods.

Overview of Data Analytics Masters Course

In order to grasp an in-depth knowledge of data analytics, IIM SKILLS provides a 6-month rigorous data analytics master course that consists of 160 hours of instructor-led live online training and 100+ hours of practical assignments. You can even get lifetime access to the learning management system (LMS).

The course is beginner-friendly and doesn’t require any prior experience. Their extensive course curriculum with 9 modules is suitable for both beginners and professionals that will take you from basic to advanced level. To help you get the practical aspects of industry you will work on 10+ case studies and 7+ live projects. Even Throughout the course, you will master 7+ tools. You can also choose a single module as per your requirements.

After successful completion of the course, they provide a 100% assured internship of 2 months. That will help you become ready for the industry and add-on experience.

About IIM Calcutta

In partnership with MIT’s Alfred P. Sloan School of Management, the West Bengal Government, The Ford Foundation, and Indian Business all worked together to establish the Indian Institute of Management Calcutta (IIMC). It was India’s first national institute for postgraduate studies and management research, in November 1961.

Providing top-notch management education, IIMC has developed through time with a global reputation. Through its doctoral and post-doctoral degrees, executive training programs, research, and consulting activities, it has been a pioneer in the professionalization of Indian management,

The institution now performs its functions as a self-governing entity, constantly adapting to achieve its objectives in a commercial context that is always changing.

Overview of Business Analytics Program

This in-depth executive program includes 12+ modules that will help today’s managers in setting a strong foundation in business analytics. The method of teaching will be highly interactive and make use of a variety of practical tools and approaches, including lectures, real-world case studies, quizzes, assignments, and examinations. In between and the end of the program, there will be two 5-day campus immersion modules which are mandatory for participants for successful completion of the program.

This Executive Program of Business Analytics covers all the facets of business, marketing, finance, and operations and provides you with a solid broad instruction in data science. 

It is not a specialization course but it will expose you to a wide range of data science concepts as well as how business choices can be influenced by analytics.

Eligibility Criteria:

Admission Process:

Mode of Learning:

Learning Resources:

Course Duration:

Course Fees:

IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Aims and Objectives:

IIM SKILLS vs. IIM Calcutta Data Analytics Course Curriculum: 

Tools Covered by IIM SKILLS

IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Ideal Audience:

Certification

Learning Outcomes of IIM SKILLS

• Recognize principles related to Excel and SQL, such as query and command tools, and statistical terms including correlation, central tendency, dispersion, and regression
• Learn the complex details of Python concepts such as lists, contributions, branching, dictionaries, sets, objects, and classes.
• Discover how to write Python programs utilizing the concepts of conditions, variables, loops, functions, etc.
• Get familiar with using Pandas to load and save data while learning how to read and write files in Python.
• You will gain an extensive grasp of data interpretation in Python by utilizing Pandas’ data frame management, Scikit Learn’s machine learning application, and NumPy’s multi-dimensional arrays.
• Analyze the performance of data analytics using Python Libraries.
• Understanding of classification techniques and linear and non-linear regression models for use in data analytics.
• Become proficient in Excel for business analytics.
• Learn how to apply clustering methods like K means, DBSCAN, and hierarchical clustering. 
• Become familiar with Visualization tools (Power BI) and Microsoft’s analytics.
• Learn about visualization techniques including waterfall visualization, heat maps,  market basket analysis, and Pareto analysis.
• Learn about the model and statistics of Tableau and hone your skills to make interactive dashboards.

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Why choose IIM SKILLS?

IIM SKILLS is an excellent organization that upholds its commitment to providing top-notch knowledge and skills development at affordable prices. 

Since 2015, more than 35,000 people have found IIM SKILLS to be an ideal platform to launch, start or enhance their career.

An increasing number of skill-oriented professions are being created as worldwide opportunities expand significantly.

IIM SKILLS provides the ideal environment for people to launch their professional careers or improve in their current field in order to bring to the front and center these new and advanced skills.

The professionalism that IIM SKILLS promotes in their data analytics master course is outstanding. You may fully profit from the course thanks to the up-to-date content, student-centered pedagogy, expert faculty, and 24×7 support.

Learning Outcomes of IIM Calcutta

• Recognize and use business analytics principles and models
• Able to analyze, synthesizing, and solving unstructured business data especially
• In corporate contexts, recognize, model and resolve decision-based issues
• Interpret the finding to choose the best course of action
• Develop a passion for creativity and business improvement

Why choose IIM Calcutta?

One of the top business schools in the Asia Pacific Area and one of India’s top three business schools is the Indian Institute of Management Calcutta.

The goal of IIM Calcutta is to become a premier international center for management education is is now a real melting pot of brilliance, with some of the top mentors and students.

The course will give students the chance to study in culturally different environments, preparing them to function as truly global managers.

Professional Courses from IIM SKILLS

• Financial Modeling Course
• Digital Marketing Course
• SEO Course
• Technical Writing Course
• GST Course
• Content Writing Course
• Business Accounting And Taxation Course
• CAT Coaching
• Investment Banking Course

Frequently Asked Questions on IIM SKILLS vs. IIM Calcutta Data Analytics Course

Q. Is data analytics and business analytics the same?

Both business analysts and data analysts use data. Both of them help their firm to make data-driven decisions. Business analysts often spend more time addressing business issues and making recommendations, whereas data analysts typically spend more time working with the data itself. 

Q. Can a fresher obtain one of these courses?

Anyone can obtain the required skills and education from both of these institutions to work in the data analytics industry. However, there are some eligibility criteria you need to follow before enrolling.

Q. Does data analytics have a bright future?

The constantly changing data and its worthwhile conclusion indicate a promising future. This suggests that more businesses are willing to employ qualified data analysts. For people looking for a stable job, and excellent incomes in the expanding industry, there are unlimited opportunities.

Q. Can I get a data analytics job after the course?

Yes, both of the courses provide placement support. You can increase your chances of getting a job as a data analyst by gaining experience through case studies, internships, live projects, and certification.

Concluding thoughts on IIM SKILLS vs. IIM Calcutta Data Analytics Course

Both of the courses listed above from IIM SKILLS and IIM Calcutta give a certificate and placement which is a great method to prove to yourself that you finished the course and gained an in-depth understanding of the subject.

Whichever course you pick, both of these courses will give you a solid education and essential skills required in the industry. If you have any inquiries regarding courses you can connect the institution directly through contact details.

IIM SKILLS vs. IIT Madras Data Analytics Course Review

by Priyanka Sharma | Nov 2, 2024 | Courses, Data Analytics, Institute Review

Technology is playing a bigger role in every sector of businesses to collect relevant data, conduct meaningful operations, etc. They monitor client data, corporate performance, and sales trends. In this era of technology and the digital revolution, learners can review this highly demanding course and make a successful career in the thriving job market of data analytics. In this read- IIM SKILLS vs. IIT Madras (IITM Pravartak) Data Analytics Course, we will include two educational institutions and the required details about data analytics.

Data Analysis

After gathering data using empirical methods, the following stage is data analysis and interpretation. The distinction between data analysis and interpretation is difficult to make since the two processes are symbolic and blend invisibly. Analysis and interpretation are intricately linked.

The analysis involves a thorough study of the gathered data. Data analysis leads to generalization.

The analysis of generalizations and findings is referred to as interpretation. A generalization is a conclusion about an entire group or category based on knowledge collected from specific cases or examples.

A deep search for the significant findings is known as interpretation. Data analysis will be performed about the study’s purpose.

Data should be examined and structured in light of hypotheses or research questions to produce responses to the research questions.

Data analysis can be presented in both descriptive and graphic form. It can be presented in the form of charts, graphs, or tables.

Data analysis contains several activities, including data classification, coding, tabulation, statistical data analysis, and conclusions related to other variables.

Proper and effective analysis aids in classifying and organizing disorganized material, as well as providing scientific shape. Furthermore, it aids in the analysis of trends and changes that occur throughout a specific period.

Methods of Data Interpretation

Analysts use data interpretation methods to assist individuals in making meaning of numerical data that has been collected, evaluated, and presented. A raw form of data might be difficult for the analysts to grasp; therefore, analysts disintegrate the information so that the data processing can become hassle-free. There are two basic ways to accomplish this: quantitative approaches and qualitative ones.

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Method for Interpreting Qualitative Data

The qualitative data interpretation method is useful in surveying categorical and undiluted data, also known as qualitative data. This approach uses text in data rather than numerical or models. Proportionately the quantitative mechanism of research, and qualitative data are consistently collected through a wide range of person-to-person survey techniques that might be challenging to interpret. In contrast to quantitative data, which can be examined thoroughly and immediately after being collected and sorted, qualitative data must first be coded into numbers before it can be analyzed. This is because analyzing texts in their original state takes more time and results in many inaccuracies. 

The analyst’s coding should also be documented so that it can be reused and evaluated by others. There are two sorts of qualitative data: nominal data and ordinal data. Both of these data kinds are interpreted using the same procedure, although ordinal data interpretation is much easier than nominal data interpretation. Ordinal data is typically labeled with numbers throughout the data-collecting process, and coding is not always required. This is distinct from nominal data, which must still be tagged for correct interpretation.

Method for Interpreting Quantitative Data

The quantitative data interpretation method is used to assess numerical data, also known as quantitative data. This data type comprises numbers and is hence processed using numbers rather than textual. There are two forms of quantitative data: discrete data and continuous data. Continuous data is further subdivided into interval data and ratio data, all of which are numeric. Analysts do not need to use the coding procedure on quantitative data before analyzing it because of its natural existence as a number. Analyzing quantitative data requires the use of statistical modeling techniques such as standard deviation, mean, and median.

Data Analytics Requirement in Businesses

It is deemed a fact that data analytics techniques are beneficial for businesses’ flourishing of all parameters. It assists marketers in designing and accommodating seamless customer journeys and modifying content accordingly to fit the fashion.

According to sources, despite access to consumer data, most marketing professionals claim trouble making data-driven decisions ranging from forecasting customer purchases.  

The difficulty is having access to the technical capability of evaluating large amounts of data instantly. While many businesses are collecting vast amounts of data, it has become difficult for them to handle extensive data efficiently and proficiently.

Businesses in all industries can benefit from data analysis, which allows them to stand out from the competition. Such techniques may also detect potential problems or prevent fraud, notably in the pharmaceutical or financial sectors.

The goal for e-commerce enterprises is to exploit data to their advantage. These businesses gain a better understanding of their customers’ wants and habits by analyzing their users’ browsing behavior. 

This information then assists firms in increasing their profitability. It also allows the corporation to promote things that specific consumers are more likely to order and purchase online.

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Understanding About Data

A corporation or any organization tackles vast volumes of data, and it is a heavy responsibility to handle and develop a long-term strategy and purpose to run a business without any data disruption. Data storage is expensive, complicated, and crucial but processing the data is considerably more so. 

As a result, it is critical to outline your company’s data goals ahead of time, such as “What data sources do you currently have and how are you currently using data?”

What information do you have and want to get for further findings?

Do you wish to learn more about your clientele, for example, or are you taking preventative measures to prevent fraud?

Do you have business goals in place that align with your big data strategy?

Importance and Integrity of Data Evaluation

Data analysts are responsible for determining the true worth of your data. How did the data come about? Inaccurate, flawed, and worthless information may have been gathered haphazardly.

It has been discovered that two-thirds of sales leads do not close due to poor data quality and that up to 25% of client and prospect records have important data inaccuracies that have a direct impact on sales.

So, before spending time and money on data analysis, data professionals check the accuracy of your information. This will assist you in determining whether the data will provide any useful insights. If it does not, gather more accurate data before proceeding.

Thriving Job Market in Data Analytics and Interpretation

Data analytics is used to find and interpret significance in data patterns. As data becomes more crucial in business decision-making, the data analytics employment market is growing.

Global firms will regard data analytics and predictive analytics to be critical components of their operations. Furthermore, as more businesses engage in data and digital assets, the demand for data analysts and experts is likely to grow.

Whether you want to enter the data analytics industry as a recent graduate, make a career shift, or brush up on your abilities, it’s critical to grasp the current environment of the data analytics employment market:

The global market for data analytics is expanding daily. The market is predicted to increase at a compound annual growth rate (CAGR) over the next half-decade, reaching considerable levels by 2028.

It is projected to maintain its global market leadership.

Job Categories in Data Analytics

Data analytics is diverse, despite its fundamental concept of analyzing data to extract information, insights, and forecasts. To get the required results, data analytics frequently overlaps with other disciplines.

Finance, marketing, and business skills, for example, can be integrated with data analytics to provide extremely targeted insights and predictions. These tasks are carried out by:

• Analysts in Finance
• Analysts in marketing
• Analysts of business intelligence (BI)

In terms of the technical aspects of data analytics, computer scientists and engineers might serve as data engineers, IT systems analysts, and data architects, assisting in the organization and usage of data.

Other Forms of Data Analytics Jobs Include:

• Transportation logistics experts
• Analysts of operations
• Analysts of quantitative data
• Consultants in data analytics
• Managers of large-scale projects

IIM SKILLS vs. IIT Madras Data Analytics Course – Overview

IIM SKILLS

IIM Skills conducts online courses in Data Analytics for students looking for reputed educational institutes with proper experts’ attention. IIM Skills provides exceptional support to its students throughout the course journey and even after completion of the course with lifetime access to premium study materials.

With the help of qualified experts enrolled can achieve milestones in the thriving job market of data analytics. IIM Skills strongly believes in quality in education delivery. This is the reason the curriculum of IIM skills is uniquely designed by well-experienced industry experts and includes complete modules of the real world. Students will get assignments and projects based on real case studies, and this sort of learning process will aid them in observing their progress and improving their flaws diligently.

The Data Analyst Course From IIM Skills Will Provide Mastery of These Skills:

• • Advanced Excel knowledge 
  • In-depth knowledge of Power BI 
  • Learn to understand the development of Python program
  • Comprehensive knowledge of the SQL program
  • Learn to interact with extensive data variables

• Be familiar with all advanced concepts of data manipulation and complex data functions.

Course Module

Advanced Excel Knowledge

• Data Supervision
• Purpose and result for manipulating Data
• Data handling and communication
• Data conception in advanced Excel use
• Installation of dashboards, charts, graphs, and variables to analyze data

Basic Visual Application

• Introduction and comprehensive use of VBA (Visual Basic for Applications) in data analytics
• Foundation and Fundamental Principles of Programming Language 
• Setting Up and & Procedures in Visual Basic for Applications) 
•  Design & Memory Management 
• Code comprehensibility

Description and incorporation for SQL Server

• Concept Introduction of the SSRS
• Visualization Framework
• SSRS Visual guidelines
• Apply SSIS to Understand Project Building

Data Manoeuvring by Using Python

• Data Manoeuvring by Using Python 
• Summing up standard Statistics
• Advanced use of Mathematics in data analysis
• Python Use in Data Audit
• NumPy (Numerical Python) Function
• Precise knowledge of Pandas
• Use of Python Data Wrangling, research, Visualization, and exploration of Statistical Techniques
• Inspection of Modeling and the Data solution
• Data Analysis arrangement
• Reports expression (Power BI Visuals)

Tableau

• Data Brain Storming and Account Writing

Tools Included in Advanced Data Analytics Syllabus

• Excel: IIM Skills includes comprehensive advanced Excel knowledge for its students so they can obtain and enhance their useful understanding of Excel. Excel is a great help in getting business insights along with other data analytics tools like Power BI, and Tableau. Students will be familiarized with the complex use of Excel for data analysis. They can interpret data queries, language, and complex formulae easily in a friendly class environment. Advanced Excel helps to store extensive research, current market tracking patterns, trends, outline data, and information on campaigns.
• Tableau: Tableau is yet another beneficial tool for data brainstorming and manipulation. Professionals may design to prepare data and share data comprehensive data insights.
• Power BI: Power BI is an additional tool known to be useful for cloud-based analysis and explanation. This tool is a product of Microsoft and produces data perception for aiding business purposes. Power BI synthesizes variations of data from various point sources to make a genuine version an information on behalf of the company. 
• Python: Python is a programming language and it is useful to interpret data and automate tasks in a user-friendly manner. Data Analysts use it for collecting, manipulating, and visualizing data. It is very useful in the banking sector to detect deceptive transactions.

Course Fee: ₹ 49,900 + 18% GST.

Discount: Group discount of 10% on 3 or more registrations.

Internship:2 Months Internship

Placement: Support in placements and Interviews

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IIT Madras (IITM Pravartak)

IITM Pravartak is an approved institution from the Government of India’s Department of Science and Technology. The institution aims to be part of its National Mission on Interdisciplinary Cyber-Physical Systems for comprehensive technology Mission. The further objective of the institute is to achieve total integration with all participants by founding strong links between academia, industry, government, and international organizations. Through intensive and application-oriented research, the IITM Pravartak Technology Innovation Hub focuses on new knowledge in the SNACS field. The IITM-PTF joyfully accepts the responsibility of training young India for the next generation of world-class technologies.

The Data Analyst Course From IITM Pravartak Will Provide Mastery of These Skills:

• Microsoft Excel 
• SQL learning for data analysis
• Introduction to data science
• Introduction of statistics
• Data analysis on real projects 
• Technical evaluation, and project assessment
• Case studies based on Business
• Power BI
• Machine learning techniques

Course Module

Data Transformation (using MS Excel and Python)

Learn data transformation, and data analysis functions to discover the fundamentals of data analytics by using Python and Excel. 

Data operations with SQL

• Introduction of SQL
• Database regulations
• Individual correlation model
• SQL mechanismTables, charts, graphs, and variables
• SQL performance, functional views, and stored method
• SQL function and optimization
• Advanced analytical concepts
• Grouping sets

Development of Data Science and Statistics

• Mean approaches
• Median methods
• Mode variations
• Tables and charts

Business Management, Insights, and problem-solving

• Understanding the financial problem to resolve business issues
• Exploratory data analysis
• Discussion on real-life marketing cases
• Project on finance, marketing, and business insights

Optimization Techniques

• Goal-oriented programming
• Integer programming
• Mixed integer programming
• Distribution and networking

Statistics, Data Mining and Machine Learning using R Programming

• Use of R
• Advanced statistics
• Technical analysis
• Clustering
• Decision tree

Advance Machine Learning

• Advanced machine learning-XGBoost
• Problem-solving
• Parameter optimization

Visualization with the use of Power BI

• • Power BI Introduction
  • Advanced learning of Power BI
  • Detailed data extraction and insights
  • Data transformation
  • Data analysis and visualization

• Power BI setting, and connectivity

Program Name: B.Sc. in Programming and Data Science

Duration: 3 years (Maximum limit to complete in 6 years)

Conclusion of This Well-detailed Read – IIM SKILLS vs. IIT Madras Data Analytics Course

 IIM SKILLS vs. IIT Madras (IITM Pravartak) Data Analytics Course is an article about data analytics courses. We tried to give you a synopsis of the most demanding courses in the current time of technical development. Data Analytics has a promising present and future in the thriving job market. 

Data analysis is critical for making educated business decisions, and the demand for data analysts is expected to rise dramatically in the future years. Jobs for young and experienced data professionals are expected to grow. The best understanding of the course details and a clear roadmap for imminent opportunities and the curriculum by experts will surely be a great help to prospective professionals.

Frequently Asked Questions (FAQs) related to IIM SKILLS vs. IIT Madras Data Analytics Course

Question 1) Who is eligible for the data analytics course?

Answer: Data Analytics courses can be opted for anyone such as:

• Non-IT Professionals 
• Professionals from every sector such as banking, marketing, and 
• Data Analytics Professionals
• Project Managers
• Software Developers
• Information Architects
• Beginners, Graduates from any disciples
• Individuals who are looking for a career change as well

Question 2) How many programming languages are essential parts of the data analytics syllabus?

Answer: There are several different data analysis programming languages to choose from as a professional in this field. There are some of the top five data analyst languages to use in data analysis such as:

• Data analysis is critical for making educated choices in business decisions, and the demand for data analysts is expected to rise dramatically in the future years.
• Python, R, SQL, Java, and Scala are the top five data analysis programming languages.
• Python is a versatile, object-oriented programming language that is frequently used for data analysis, but R excels at statistical analysis and data visualization.
• There is no less or wrong programming language to learn for data analysis because every language has significance in the computer business.
• Begin by studying the principles and d data analysis tools such as Excel, Python, R, and querying languages.
• Khan Academy, Kaggle, KDnuggets, GitHub, and DataCamp are some of the best tools for studying data analysis.

Computer systems receive instructions from language codes. A high-level programming language is very informative and usually easier to read as well as write than a low-level programming language. The source code of high-level languages is written in an easy-to-read syntax.

C, C++, Java, and JavaScript are popular high-level languages. Processors are capable of running low-level languages without the use of an interpreter. These are machine languages that computers can understand.

Question 3) What is the difference between Python and R languages in data analytics?

Answer: Python and R both have an essential need in data analysis to accomplish the process. For example, R is a beneficial choice for visualizing and statistical data analysis. On the other hand, Python is a more multi-purpose, adaptable language and can be used for more recreational and genuine tasks in data analytics.

Description of Python and R

Python

Python is expected to be one of the most popular programming languages in the future. It can be used to extract information, write code, and build websites.

To use Python for this purpose, you may need to download libraries to reduce the amount of coding required. The programming language has a wide range of applications and is user-friendly for beginners.

R

R is a data analysis programming language. This simple language requires fewer libraries than Python and lets you detect trends and patterns in your data. It may be used to create spectacular data visualizations as well as statistical models.

R is used by data analysts because it provides statistical packages for quantitative applications. Neural networks, phylogenetics, sophisticated charting, and nonlinear regression are among them. R is an open-source language that is also designed to be adaptable.

Differences

• Differences in R and Python:  The two core programming languages.
• Learning challenges in data analysis: Python is an excellent choice for beginning programmers, although R can be significantly more difficult to master.
• Upkeep issues: One of the most unavoidable differences between R and Python is that Python code requires less maintenance than R code.
• Library power: R has fewer and less sophisticated libraries than Python, making this part of the programming language simpler to understand.
• Applications:  As previously stated, the two languages offer distinct advantages. R is better for complex statistical calculations, whereas Python is better for deep learning.