by Ekta Rehalia | Nov 2, 2024 | Courses, Data Analytics, Institute Review
Data Analytics Courses are quickly becoming the most sought-after and well-liked academic fields today. They are the courses that are developing the quickest, and as a result, many new job types, such as data scientist, data analyst, business analyst, etc., are being created. Due to the Big Data and Massive Data development boom, these technologies are developing quickly, which is further encouraging businesses from a variety of sectors to embrace data analytics as a way to capture and use better business insight. Here is a detailed guide to IIM SKILLS vs AnalytixLabs Data Analytics Course Review
Let’s know more about the Data Analytics courses and the Institutes offering the same, in-depth.
All About Data Analytics
Data analytics is the practice of carefully examining raw data to get relevant insights from it. These insights might include knowledge about your company, new products, industry trends, etc.
Analyzing data gathered from many sources, cleaning it, and then converting it into information that people can understand are similar tasks involved in data analytics.
The type of data may be organized, semi-structured, or unstructured. Visual representations of the end result, such as graphs and charts that show the research’s precise findings, are available. There are several frameworks and technologies utilized.
There is a high need for experts who can help firms turn raw data into information that is beneficial for corporate success. Among the various job categories available in the data analytics sector, data analysts have some of the most intriguing career opportunities.
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About Data Analyst and His Role
Data Analysts are ones who gather large datasets, prepare, and are subjected to examination by them. Client testimonials, accounting information, logistical data, market research, and other types of data are examples of this information.
A data analyst is in charge of gathering, scrutinizing, 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 become 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.
Data Analytics as a Career
Data analysts are in greater demand than ever. The US Bureau of Labor Statistics predicts that in the upcoming years, the employment of data analysts will increase significantly more quickly than the average for all occupations.
It’s because businesses are creating a lot of data as they go through digital transformation, which they may need to learn how to properly handle, manage, or use. Here, data analysts offer insightful analyses and interpretations of the data that might help the company.
You should check the courses in other rewarding cities
For a number of reasons listed below, beginning a career as a data analyst might be a great decision:
High Earning Potential:
Salaries for data analysts vary based on region, sector, and expertise. They are frequently well-paid. Right out of college, data analysts may frequently expect to make a respectable salary.
Opportunities:
Data analysts can find work in a variety of sectors, including marketing, retail, healthcare, and finance. It implies that individuals with data analysis abilities have access to a wide range of employment opportunities and career routes.
Interesting:
Work that requires problem-solving skills attention to detail, and data analysis may be exciting and hard. For analysts, sifting through vast, complex data sets in search of insights may be both intriguing and intellectually stimulating.
Transferable Abilities:
Statistical analysis, data visualization, and data management are just a few of the abilities that may be used in a variety of other businesses and areas. Therefore, data analysts can develop important transferable abilities that will be helpful throughout their careers.
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Responsibilities of Data Analysts
The position of data analyst entails a number of obligations and responsibilities. To become a data analyst, you must first understand what they do. Some usual and anticipated tasks for a data analyst include the following:
Being Aware of the Goal
Prior to anything else, a data analyst must ascertain what the organization’s goal is. They must assess the resources that are available, comprehend the business problem, and compile pertinent information.
Inquiry
Data analysts write complex SQL queries and scripts to gather, store, manage, and retrieve information from relational databases like MS SQL Server, Oracle DB, and MySQL.
Data Mining
Data is classified and mined from a number of sources in order to extract new information from them. In order to increase the efficacy of the system, data models are produced.
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Data Purging
Data management and cleansing are two of a data analyst’s primary duties. Data that is first obtained is typically incomplete and unstructured. Therefore, in order to prepare the data for analysis, it is crucial to clean it.
Data Analytics Tools
Data analysts use analytical and statistical tools, including computer languages, to do a logical examination of the data.
Interpreting Data Trends
To glean insights into the workings of enormous databases and identify patterns and trends, data analysts use a number of tools and libraries.
Development of Executive Summaries
Data analysts develop summary reports using data visualization methods. These reports serve as a guidance for the leadership team to move quickly.
Working Along With Other Teams
To ensure that business needs are implemented properly and identify possibilities for process improvement, data analysts collaborate with the management team, development team, and data scientists.
Now that you are fully aware of the duties and obligations of a data analyst, you are prepared to discover the key to learning how to become one.
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Institutes Providing Data Analytics Course
There are several reputable institutions that provide Data Analytics Courses.
This article will compare and contrast the Data Analytics course offered by IIM Skills and AnalytixLabs. These analyses will cover the whole curriculum as well as the advantages of the things you will learn. Making it easier for you to choose for yourself is one of the main reasons why we are making this comparison.
IIM SKILLS vs AnalytixLabs Data Analytics Course Review
For IIM SKILLS vs AnalytixLabs Data Analytics Course Review, we are going to look at different facets of both institutes to provide you with clarity regarding the two training programs.
IIM SKILLS
This organization is considered as one of the top suppliers of online courses with a professional skills emphasis.
You are given everything you need through IIM SKILLS to excel at work or start the business of your dreams. These professional courses cover everything from the most elementary to the most complicated areas through a blend of theory and practicals.
IIM SKILLS helps you to reach your goals with top-notch professional courses that boost your competence, improve your present skills, and flourish in your working life. These courses are applicable to both careers and industries. The course material is carefully planned to help students develop their abilities and receive the best instruction.
Professional classes might aid you in identifying your passions. You will strive to enhance your skill set in order to turn your passion into a lucrative and worthwhile job. The list of courses that IIM SKILLS offers includes:
- Digital Marketing Course
- Search Engine Optimization (SEO) Course
- Content Writing Course
- Technical Writing Course
- GST Certification Course
- Business Accounting Course
- Financial Modelling Course
- CAT Preparation Coaching
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Data Analytics Course at IIM SKILLS: An overview
Tools and software expertise are necessary in today’s computer and technology-driven environment to succeed in any given industry. While AI bots cannot totally replace human intelligence, they can certainly contribute by streamlining and automating some processes. These large instruments end up being much more crucial in the case of data.
In light of this, at IIM SKILLS they make it a priority to strengthen your working understanding of the essential tools for the data analysis sector. Consequently, you will receive training in this direction to give you a competitive advantage when applying for positions in the real-market business.
You will be able to shine and truly make a difference in demonstrating your professionalism on the job if you possess the necessary tools and software expertise. It will not only enable you to make the most of your data drills but also unlock your hidden potential.
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 Advanced 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.
Skills You’ll Acquire From Data Analytics Course at IIM SKILLS
The journey route for the Data Analytics course is laid out at IIM Skills to assist you in acquiring the necessary skills as you move through the courses. Having these industry-specific skills reinforced will give you an advantage over the competition while looking for attractive work opportunities.
The Following Skills You Will Acquire After Completing This Course:
- Familiarize yourself with statistical terms like central tendency, correlation, dispersion, and regression. – Do well at SQL terminology such as command and query tools.
- Learn the subtleties of lists, sets, contributions, branching, dictionaries, objects, and classes as well as other Python concepts.
- Use the ideas of variables, conditions, loops, functions, etc. to develop Python programs.
- Learn how to interact with, load, and save data using Pandas while reading and writing files in Python.
- Learn how to use multi-dimensional arrays in NumPy, manage Data Frames in Pandas, and apply machine learning using Scikit.
- Learn to get a solid understanding of data interpretation in Python.
- Using Python libraries, analyze the performance of data analytics.
- A solid understanding of classification approaches, linear and non-linear regression models, and both for the Data Analysis work process.
- Learn how to effectively use clustering techniques including K-means, DBSCAN, and hierarchical clustering.
- Learn how to use Excel to do business analytics.
- Learn about Microsoft’s Power BI analytics and visualization capabilities.
- Gain knowledge of Tableau’s model and statistics and develop your ability to create interactive dashboards.
- Acquire knowledge of visualization techniques including market basket analysis, Pareto analysis, waterfall visualization, and heat maps.
Tools Knowledge
IIM SKILLS will make sure to strengthen your working understanding of the necessary instruments for the data analysis sector.
Candidates who have experience using data tools and technologies firsthand are preferred by all organizations and businesses. Therefore, be aware of all the helpful tools you will be using during this course:
- Excel: When the word “data” is spoken, Microsoft Excel immediately comes to mind. The best platform for squeezing data into to obtain useful business insights is Excel. Excel includes a wide range of capabilities, including sharing workbooks, adding data to Excel, real-time collaborations, etc. Excel is the most significant Data Analytics tool.
- Power BI: It is a cloud-based analysis solution that produces data insights. It is another Microsoft product. This built-in tool combines data from many sources to provide a comprehensive view of the company’s asset information. Our unique Data Analysis education curriculum teaches you how to extract data from sources and visualize it using Power BI.
- Python: Almost any programming project involving data analysis may be completed using the Python language. Python software is user-friendly since it can operate on Windows, macOS, and Linux. Python is a high-end programming language used to build and maintain data structures because of its simple syntax and dynamic semantics.
- Tableau: A top-ranked business intelligence tool, Tableau is yet another outstanding tool for data analysis and visualization. You may prepare, analyze, discuss, and share data insights throughout the enterprise while working on live data sets. Learn how to create dashboards, charts, graphs, maps, and stories to visualize and analyze data at IIM SKILLS.
Other Professional Courses from IIM SKILLS
Now, Let’s Talk About Analyticlabs’ Data Analytics Course:
AnalytixLabs
AnalytixLabs is well regarded and acknowledged for offering top-notch training courses that are created and given by professionals in the field.
Based on their impressive track record and high student satisfaction, they gradually advanced to gain the same reputation worldwide after establishing themselves as the best analytics training college in India.
Leading businesses from a variety of sectors, including Accenture, American Express, AbsolutData, Axtria, Bank of America, and McKinsey, hire their students. They are committed to assisting their clients in gaining proficiency in both fundamental and advanced analytics so they may become “Industry-ready” professionals and expand their career options.
Data Analytics Course at AnalytixLabs: An overview
This course at AnalytixLabs will accelerate your career as a data analyst by fusing the potent pedagogy of top-tier professionals with hands-on instruction. Their PG Data Analytics certification course provides all you need to succeed as an analyst, from fundamental ideas to advanced topics. This course will get you a Post Graduate Diploma or Certification in Data Analytics, depending on the module you select.
Learning Objectives
This course is ideal for you if you are an experienced professional wishing to upskill your abilities.
You can choose their post-graduate learning course, which also covers more sophisticated analytics if you’re seeking a combined option to obtain both certification and diploma credentials. You may all receive an AnalytixLabs graduation certificate by working together.
You might choose to enroll in further advanced courses after doing their post-graduate data analytics course, depending on your interests.
Python packages
Packages for Python Foundation’s Core
Python is necessary for data analysis and doesn’t call for highly developed programming skills. Core Python is a subset of Python that contains fundamental data structures and procedures.
You’ll discover Python packages, Python operators, the fundamentals of object-oriented programming, user-defined functions, Python data types, and much more with this course.
Data Visualization for Exploratory Data Analysis (EDA)
You will have a better understanding of the data, which helps with further data processing. You will then comprehend how interactive plots and charts in visualization may facilitate the exploratory data analysis process.
Data analysts can delve deeper into data sets and underlying data structures with the use of exploratory data analysis (EDA).
Basic Statistics and Statistical Methods for Analysis
Descriptive and inferential statistics are the two approaches used in statistical analysis. This lesson will show you how to summarize data using descriptive statistics such as mean and median and how to derive meaning from data using inferential statistics such as t-tests. These are the two main approaches.
Other statistical analysis techniques, including associational statistical analysis, predictive analysis, prescriptive analysis, causal analysis, and more, will also be covered.
Predictive Modeling Using Logistic Regression and Linear Regression
You will learn how to forecast future behavior using statistical techniques in the final module of this term. By examining past and present data, predictive modeling creates a model that forecasts future events. The two types of algorithms covered in this topic are logistic regression and linear regression.
Regression issues are handled using linear regression, which also produces continuous results. Classification issues may be handled, and discrete outputs are provided via logistic regression. Python will be used to teach you all you need to know about these techniques and model creation.
Additionally, you will develop soft skills like commercial acumen, business analysis, and the ability to translate data results into understandable language so that everyone can comprehend your forecasts.
The Two Most Crucial Skill Sets You’ll Acquire in This Course Are –
Technical skills:
- Core python
- Microsoft Excel
- Tableau
- Power BI
- JIRA
- Microsoft Powerpoint
- Cloud computing
Decision-Making Skills:
This is one of the basic soft skills that is included in all data analytics certification courses. A data analyst cannot be successful without decision-making skills. You need to be able to explain your conclusions and outcomes to other executives.
Conclusion on IIM Skills vs AnalytixLabs Data Analytics Course
To fully understand the course content and the teaching methodology, it is advised that you attend the demo classes before enrolling in the course. If you’re unsure which of these two is right for you, it’s advised that you visit their websites and conduct comprehensive research.
In order to help you make a better choice for yourself, the major goal of publishing a compared article on the IIM SKILLS vs. AnalytixLabs Data Analytics Course was to make you aware of the technical components of the course. You will become an effective and market-savvy candidate with strong confidence after doing these sorts of professional courses.
Frequently Asked Questions (FAQs) on IIM SKILLS vs AnalytixLabs Data Analytics Course
Q. What is the estimated salary of a data analyst in India?
The typical salary for a data analyst in India goes from INR 3L to 14L.
Q. In how many months can I become a data analyst?
Six months is the recommended duration for a data analytics course.
Q. Who is eligible for a data analytics course?
Anyone wishing to begin a career in analytics can opt for the same.
by Ekta Rehalia | Nov 2, 2024 | Courses, Data Analytics, Institute List
Before dwelling on the comparison between IIM SKILLS and Jigsaw Academy Data Analytics Course, let’s first understand about the Data analytics course in the next segment.
About Data Analytics Course
The skill of evaluating raw data and drawing conclusions to support corporate performance, forecasts, and strategic choices will be taught to you in a data analytics certification course.
Businesses may use data analytics to extract useful information from massive data sets and make decisive business choices.
Huge data sets must be explored and analyzed in order to spot patterns or previously unnoticed trends. Data analytics aids in establishing relationships and gaining understanding to make business forecasts.
Despite their similar sounds, data analytics and data analysis differ in very small ways. You will discover such complex idea distinctions in this Data Analyst course.
Data analytics includes data analysis, which is simply concerned with interpreting data. However, data analytics is a comprehensive idea that goes beyond analysis; it also involves data science to make predictions and hypothesize as well as data engineering to create data systems.
This data analyst course is intended to provide you with a thorough understanding of all the major ideas and subsets of data analytics, as well as how it is used, the necessary skills, and how to be job-ready.
Decision-making
You’ll learn to prioritize data while making business decisions. You’ll better understand your target audience with the use of data analytics, which will enable you to base your decisions on their behavior and provide better outcomes. Data analytics will assist you in making better customer-focused decisions by helping you comprehend consumers’ intentions and keep track of their preferences.
Streamline and Control Business Risks
You may use data analytics to develop powerful methods to manage company risks. Data analytics may assist in identifying the key risk factors and underlying reasons for problems such as loan default or credit card fraud.
You will simultaneously learn about several credit risk models, data requirements, risk reporting, and risk kinds (including credit, corporate, market, and operations risk).
Boost Corporate Security
Businesses employ data analytics to review previous security breaches and pinpoint the weak spots that allowed the breach to happen. This aids security professionals in tightening security protocols and averting such breaches in the future. You will discover how analytical models can spot any odd activity or pattern and instantly warn security specialists in this data analysis course.
Determine Trends
The market evolves frequently, and firms must promptly adjust to these changes. Knowing where the market is going, what kinds of changes in consumer behavior a company may anticipate, and preparing for such changes are always important. You will discover how data analytics may be used to comprehend the changing industry and predict emerging trends that will affect the company.
You will receive in-depth instruction on using data analytics tools as well as all this knowledge from our data analytics course.
Applications of Data Analytics by Industries and Functions
Marketing Analytics
Businesses may improve the total ROI of any marketing effort by using data analytics to better understand consumer activities, their causes, and how to best respond to them. You’ll learn how to evaluate marketing data, identify trends and patterns, and utilize an analytical mindset to comprehend user behavior, improve marketing efforts, and encourage repeat business for your business.
Operations Analytics
You may learn how to enhance a business’ operational efficiency through the use of operational analytics. Business analytics includes efforts to integrate data from the warehouse into your business tools so that everybody in your company can access the same data, regardless of technical proficiency. You learn to concentrate on keeping an eye on current and real-time operations that can increase productivity and plan daily business operations.
Risk Assessment
You can accurately assess and forecast hazards with risk analytics. You will learn how to analyze corporate data more thoroughly, create plausible risk-driven scenarios, and correctly forecast potential hazards using a variety of tools. Through effective identification, analysis, and risk assessment, data analytics assists organizations in avoiding large-scale disasters.
Analytical Applications in the Retail, eCommerce, Banking, Insurance, and Telecommunications Sectors, etc.
You will get real-time knowledge of how data analytics is applied across many business domains, sectors, and functions, as the name implies. You will get practical experience in the types of business issues that emerge, how to solve them, and what models you can develop to reduce significant risks, all while learning to adapt your knowledge depending on the sector or role you are working in.
Job Responsibilities of a Data Analyst
Your Duties as a Data Analyst Will Likely Involve Things Like:
- Gather information from numerous sources and arrange it in a logical order.
- Organize and handle data.
- You must be able to handle missing values, correct inaccurate or incomplete information, identify mistakes, and get rid of unnecessary data.
- Knowledge of how to evaluate data using various statistical tools, such as Python or SaS.
- Manage and optimize data based on current and projected seasonal or market patterns and create precise prediction models.
- Prepare thorough reports that are enhanced graphically and are easy to interpret.
- Enable enterprises to address risks and security breaches by identifying them.
Job Scope
The need for data analytics training and services is growing rapidly. According to a survey, there will be over 250,000 job vacancies for data analysts. According to a recent IBM forecast, 350,000 people will be employed in data science and analytics by 2023.
It is anticipated that India’s data analytics business will play a big role in the development of industry 4.0, as well as greatly enhance job opportunities and raise living standards. The upheaval of this sector will lead to future paradigm upheavals.
Certified data analysts have several career options. Develop the technical and soft skills necessary to launch a successful career in data analytics.
IIM SKILLS vs Jigsaw Academy 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. It is a premier provider of Master’s in Data Analytics 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.
IIM SKILLS helps you to reach your goals with top-notch professional courses that boost your competence, improve your present skills, and flourish in your working life. These courses are applicable to both careers and industries. The course material is carefully planned to help students develop their abilities and receive the best instruction.
Professional classes might aid you in identifying your passions. You will strive to enhance your skill set in order to turn your passion into a lucrative and worthwhile job. The list of courses that IIM SKILLS offers includes:
- Digital Marketing Course
- Search Engine Optimization (SEO) Course
- Content Writing Course
- Technical Writing Course
- GST Certification Course
- Business Accounting Course
- Financial Modelling Course
- CAT Preparation Coaching
Data Analytics Course at IIM SKILLS: An overview
Tools and software expertise are necessary in today’s computer and technology-driven environment to succeed in any given industry. While AI bots cannot totally replace human intelligence, they can certainly contribute by streamlining and automating some processes. These large instruments end up being much more crucial in the case of data.
In light of this, at IIM SKILLS they make it a priority to strengthen your working understanding of the essential tools for the data analysis sector. Consequently, you will receive training in this direction to give you a competitive advantage when applying for positions in the real-market business. You will be able to shine and truly make a difference in demonstrating your professionalism at the job if you possess the necessary tool and software expertise. It will not only enable you to make the most of your data drills but also unlock your hidden potential.
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)
Features of the Course
Defining Characteristics of IIM SKILLS Data Analytics Course:
Anywhere, Anytime Access
IIM SKILLS bring education to your house, cutting off the miles of travel time-sucking traffic jams. Learn data analytics from the convenience of your home with their reputable online course.
To alter your learning curve, all you need are commonplace usability items like a laptop and a reliable internet connection. They guarantee to provide you with a real-classroom atmosphere with cutting-edge interactive sessions, discussion forums, and student-centric teaching.
Flexible Planning
We have seen a variety of people come to IIM SKILLS for learning, including students, working professionals, housewives, retirees, and those with other specific characteristics who may or may not have explicit time to spare. In order to provide you the flexibility to commit to learning new skills without compromising your career or personal responsibilities, we offer flexible batches that include both weekday and weekend batches.
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 education program after you feel at ease with the demo session.
Additional Services
Who doesn’t enjoy free services, here are some exceptional services that you may enjoy without paying extra. At IIM SKILLS, backup classes are a genuine thing. To arrange backup sessions, you can talk to your mentors. You also have the choice to see session records through the LMS at the same time.
You can receive everything here, including help with interviewing, resume writing, and career recommendations. Since upskilling and employment are the true goals of any course, the IIM SKILLS placement cell provides specialized services to assist you in finding your ideal position.
We provide you with lifetime access to updated resource material through your LMS account to ensure that studying at IIM SKILLS is a commitment you make to yourself. Furthermore, if necessary, you may get in touch with your mentors whenever to rule out problems with your job.
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. But there’s more! 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.
IIM SKILLS Master Certification Data Analytics Course Features
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.
Now, let’s move towards to Jigsaw Academy’s Data Analytics Course:
Other Professional Courses from IIM SKILLS
Jigsaw Academy
Business analytics, data science, human resource analytics, and many more fields are covered by the highlighted short-term, long-term, online, and in-person certificates offered by Jigsaw Academy.
Both merit and entrance exams are required for enrollment in these programmes. The qualifying requirements for these programs include a graduation degree with at least a 50% grade point average, experience, and a passing score on the admission exam and interview.
The academy has 110+ hiring partners in addition, and the average package provided is INR 11.5 LPA. There are more than 55,000 students enrolled in Jigsaw Academy.
Jigsaw Academy Data Analytics Course: An overview
Jigsaw Academy’s Data Analysis Courses for Beginners are primarily concerned with giving students a solid foundation in data analysis. The amount of data that has to be analyzed and managed multiplies exponentially every day as technology advances. In order to provide students a firm understanding of the data analytics sector, its operations, and functions, this course teaches them the very fundamentals of data analysis.
Students will be able to put their newly gained abilities to the test while learning about the applications of data analysis through the modules, case studies, and completion quiz. The Data Analysis Courses for Beginners certification offers the advantages of being the ideal beginner’s guide to acquire the necessary skill sets for furthering your understanding of the principles of data analytics, especially with its industry-relevant content.
The youthful aspirants who want to learn and grasp the operations of data analytics are catered to by the Data Analysis Courses for Beginners certification. All of the essential concepts of data analysis, including data manipulation, data extraction, data processing, analytical technique, and more, will be covered in this one-month course’s curriculum. This Jigsaw Academy’s Data Analysis Courses for Beginners is the ideal introduction to the subject and may aid students in establishing a solid foundation.
Additionally, the Data Analysis Courses for Beginners provide students with a pleasant learning environment through interactive faculty help for doubt clarification and mobile app access to study whenever and wherever they choose. Candidates will grasp the purposes and uses of data analysis thanks to industry-relevant case studies that are a part of the program’s curriculum.
A quiz is included in the Data Analysis Courses for Beginners training to assess all you have learned thus far. In case you need to review a lesson, it provides three months of access to the course materials. Jigsaw Academy will provide you the data analysis for beginners’ certification upon your successful completion.
Skills You’ll Learn
You will own the following when you have finished the Data Analysis Courses for Beginners certification syllabus: –
- Understanding of the fundamentals of data analysis and analytical techniques.
- Understanding of how data analysis functions and is used by businesses.
- Knowledge of the principles of data analysis, including its extraction, processing, and manipulation using analytical tools.
- Being able to run statistical models effectively to gain better insights.
Course Highlights
- Self-directed education
- Online program
- Practical case study
- One-month program
- Access to the study materials for three months
- Data analytics certification for beginners
- Individualized module
- Access for six months
- Case studies
- Technical assistance
- Mobile applications
- Certification of completion
Conclusion on IIM Skills vs Jigsaw Academy Data Analytics course
It is crucial for young students to be well prepared before attending an interview because the market is a dynamic environment where changes and reforms occur on a regular basis. Traditional educational institutions do not offer the skills and knowledge that a firm looks for in a recruit.
You must rely on reputable institutions that provide courses for this. Both IIM SKILLS and Jigsaw Academy have a reputation for being among the top organizations offering professional training. These institutes’ Data Analytics courses are created with the norms and specifications of the industry in mind.
Case studies and assignments are available from IIM SKILLS to assist you in acquiring information that is practical and application-based. Jigsaw Academy offers live projects where you will need to use the skills you have learned to complete a specific assignment.
You have access to an internship opportunity through IIM SKILLS, which will enable you to develop your professional knowledge and experience. You may get some of the greatest and most practical skills by attending IIM SKILLS, a highly regarded institution.
Recommend Read,
Frequently Asked Questions (FAQs) on IIM SKILLS vs Jigsaw Academy Data Analytics Course
Q. How can I begin with Data Analytics?
If you enjoy working with data and all of its different ideas, this is the career for you. You might begin by reading about its many elements and enrolling in classes that go over all the essential intricacies of this business.
Q. Why should I pursue a career in Data Analytics?
Learning data analytics will provide you access to a variety of chances, including employment, problem-solving abilities, statistical knowledge, high income packages, and the freedom to work in many industries.
Q. Is data Analyst a good career?
Yes. Any organization needs skilled data analysts to function. According to statistics, the urge to develop a comprehensive customer experience is what motivates organizations the most.
by Ekta Rehalia | Nov 2, 2024 | Courses, Data Analytics
Data analytics is all about examining data gathered from many sources, and then turning it into something significant that others can understand. Visual representations of the end result, such as graphs and charts that show the research’ precise findings, are all parts of it. Let’s today look at two organizations that offer data Analytics course. Here is a detailed review of IIM SKILLS vs Coursera Data Analytics Course.
Who is a Data Analyst and How to Become One?
A data analyst is in charge of gathering, 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.
Having a high earning potential and a rising need for qualified workers make being a data analyst a desirable career choice.
An Instruction Manual on How to Become a Data Analyst is Provided Below:
Learn the Fundamentals of Data Analytics
It’s crucial to establish the foundational tenets of data analytics before starting on the path to becoming a data analyst.
Additionally, you must learn how to use a variety of data analytic tools, including advanced Microsoft Excel, SQL, Python, and R programming, as well as Spark and Hadoop for sophisticated computations. Additionally, you can produce spectacular visuals that help bring your data to life with the use of tools like ggplot2, Tableau, or Matplotlib.
Data Analytics Courses
These courses will provide you with a solid foundation to help you grow your skills throughout time.
Focusing on getting practical experience by working on problems from the real world is essential as you grow. As a result of this experience, your capacity to demonstrate your talents to potential employers will increase.
In addition, networking is crucial in many fields, including data analysis. By taking part in hackathons, going to meetings, and joining data analysis forums, you may network with other industry specialists and learn from their experience. It could provide you with new opportunities and help you stay current with industry trends.
Working on a Variety of Projects
It’s important to initially have a solid understanding of the fundamental tools and abilities needed for the position if you’re interested in becoming a data analyst. You may use your knowledge to work on projects in the real world after you have a firm understanding of these principles. It’s also critical to keep up with the most recent tools and technologies being utilized in the industry to be a great Data Analyst.
Spreadsheets, querying languages like XML and SQL, programming languages and frameworks like Python, R, and Hadoop, and visualization tools like PowerBI, Tableau, Matplotlib, Plotly, and Bokeh are just a few of the crucial tools and abilities needed for data analysis. Additionally, knowledge of popular tools for data analysis, such Google Analytics and Adobe Analytics, can be quite valuable.
It’s imperative to work on projects that cover all aspects of data analysis in order to gain practical experience, including investigating businesses and market opportunities, finding and gathering pertinent data, cleaning and preprocessing that data, and modeling and analyzing it using specially created algorithms.
Once you’ve gleaned insights from your investigation, it’s critical to make them accessible to viewers through lovely visualizations or interactive dashboards.
To advance and demonstrate your skills as a Data Analyst, you must work on a variety of practice projects that give you the chance to work with various data types. Making predictions and determining causation may include processing audio, processing video, dealing with text and pictures, and mining structured data.
You will be able to develop and show off your abilities in statistical analysis, data modeling, and machine learning—all of which are essential for success as a data analyst—by taking on these various projects. You may also acquire the soft skills that set top-performing data analysts apart from their contemporaries by working on a variety of projects.
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Building Portfolio
It’s important to think about how you’ll present your data expertise to companies if you’re hoping to work as a data analyst. Sharing the code you’ve developed on websites like GitHub is a key first step in developing a professional portfolio. It allows you to demonstrate your technical prowess and compile a portfolio of your best work.
It’s crucial to choose data projects for your portfolio that you are actually interested in. It will make the task more interesting and inspire you to finish it. After deciding on a subject, create a question that may be addressed using facts, then employ your analytical abilities to discover the solution.
An excellent method to show off your data analysis skills and leave a lasting impression on potential employers is to complete a data project successfully.
Apply for Jobs as an Entry-Level Data Analyst
For people with data skills, the field of data analytics provides a variety of work prospects. Data analyst, business analyst, data scientist, data engineer, data architect, and marketing analyst are a few well-known jobs that need proficiency in data analysis.
New applications for data analysis are, however, continually being created as the discipline of data analytics continues to evolve. As a result, job descriptions and duties may alter and grow in the future.
Keeping up with the most recent data analysis tools and technologies and consistently honing your abilities via practice projects and practical experience are crucial for increasing your chances of success. By doing this, you may establish a solid body of work for your portfolio and establish yourself as a highly qualified and in-demand data specialist.
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Now, let’s talk about IIM SKILLS vs Coursera Data Analytics Course.
IIM SKILLS vs Coursera Data Analytics Course
This organization is considered as one of the top suppliers of online programs with a professional skills emphasis. Being a student-friendly institution, the main reason this organization was founded was to help bright, young people land jobs with reputable businesses.
These professional courses cover everything from the most elementary to the most complicated areas through a blend of theory and practicals.
With excellent professional courses that increase your competence, sharpen your existing abilities, and prosper in the workplace, IIM SKILLS supports you in achieving your goals. These courses are applicable to both careers and industries. The course material is carefully planned to help students develop their abilities and receive the best instruction.
Data Analytics Course at IIM SKILLS: An overview
Tools and software expertise are necessary in today’s computer and technology-driven environment to succeed in any given industry. While AI bots cannot totally replace human intelligence, they can certainly contribute by streamlining and automating some processes. These large instruments end up being much more crucial in the case of data.
In light of this, at IIM SKILLS they make it a priority to strengthen your working understanding of the essential tools for the data analysis sector. Consequently, you will receive training in this direction to give you a competitive advantage when applying for positions in the real-market business. You will be able to shine and truly make a difference in demonstrating your professionalism at the job if you possess the necessary tool and software expertise. It will not only enable you to make the most of your data drills but also unlock your hidden potential.
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 Trial
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 education program after you feel at ease 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.
But there’s more! 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.
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IIM SKILLS’ 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 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.
Attendance
You must attend class regularly in order to be qualified to take the final assessment exam. To be eligible to take the test, each candidate must have at least a 70% attendance rate. Backup recordings will count as attendance, provided that unavoidable circumstances caused the absences. In other words, if necessary, session recordings do qualify as attendance.
Examination
Candidates must show up for the course-ending test after successfully completing the course, which evaluates their overall knowledge and development. Candidates must receive a score of at least 50% on the MCQ-based test in order to qualify for the Master’s certification.
Now, let’s talk about Coursera’s Data Analytics Course.
Other Professional Courses from IIM SKILLS
Coursera
Daphne Koller and Andrew Ng started Coursera in 2012 with the goal of giving students all around the world educational opportunities that would change their lives.
Currently, Coursera is a global platform for online learning and professional development that provides access to online courses and degrees from prestigious organizations and businesses to anybody, anywhere.
Coursera obtained B Corp accreditation in February 2021, which means that while they continue to work to remove obstacles to top-quality education for everybody, they have a legal obligation to have a good impact on society as a whole.
In order to access top-notch education whenever and wherever they choose, more than 7,000 institutions, corporations, and governments, together with 113 million learners, have turned to Coursera.
Data Analytics Course by Coursera: An overview
Data analytics specialists are in great demand since it cannot be avoided in any industry, including manufacturing, banking, commerce, and healthcare.
Globally, Coursera is the top platform for learning. The free courses and paid courses offered by Coursera for data analytics will aid in your learning of many data analytics topics, such as the big data ecosystem, data mining, and cloud data mining technologies.
In order to deliver online data analytics courses, Coursera works with several universities and online course providers, including HSE University, Google, IBM, the University of Illinois, Hong Kong University of Science and Technology.
With beginning, intermediate, advanced, and all-levels data analytics courses accessible on Coursera, students of all skill levels may learn data analytics. The option of choosing Coursera data analytics courses and certificates with varying lengths of a few hours, weeks, or months is also available to students. This makes it easier for students to enroll in data analytics courses with appropriate lengths for their learning. Additionally, Coursera offers its data analytics courses in a number of other foreign languages. Nearly all of Coursera’s data analytics courses are available for free auditing for students.
Course Features
- The courses and credential programs in data analytics offered by Coursera are distinctive and unusual in many ways.
- All students, regardless of ability level—beginners, intermediate learners, or advanced students—can discover a Coursera data analytics course that is appropriate for them.
- Students from all around the world can enroll in Coursera data analytics courses because they are available in a variety of other languages.
Best Courses on Coursera for Data Analytics
Online data analytics courses on Coursera come with a variety of features. The best Coursera data analytics courses are listed here:
- Python-based accounting data analytics
- Foundations of Data Analytics for Accounting II
- Data Analytics for Team Management and Sports Law
After completing a Coursera data analytics course, professionals and students with data analytics abilities can choose from a variety of professional alternatives and employment. Several job opportunities include:
- Data Analyst
- Data Engineer
- Big Data Engineer
- Project Manager
- Data Architect
Coursera’s Google Data Analytics Professional Certificate
Prepare for a new career with this course in the quickly expanding field of data analytics, with no prior degree or experience needed. Get access to Google-designed professional training and the chance to network with leading businesses.
You will acquire in-demand skills that will equip you for an entry-level position throughout the course of eight courses. You’ll hear from Google staff members whose training in data analytics helped launch their careers. You can earn the certificate in fewer than six months if your job schedule is less than ten hours each week.
Whether you want to change careers or start a new one, professional certificates on Coursera can help you land a job. Learn whenever and wherever it fits you most, at your own speed. Become a member and benefit from a 7-day free trial to find a new job path. Anytime your membership may be canceled or ended.
Conclusion on IIM Skills vs Coursera Data Analytics Course
You must study everything you can if you want to master data analytics. This page contains several data analytics courses at Coursera that you may select from, regardless of whether you want to earn a bachelor’s or master’s degree.
A professional certificate or certification shows future employers and present employers your expertise. To improve your analytical abilities, you can either take a flexible online course from IIM SKILLS or Coursera’s catalog of data analytics courses after going through their demo classes.
Frequently Asked Questions on IIM Skills vs Coursera Data Analytics Course
Q. What skills do I require to become a data analyst?
You need good quantitative and analytical abilities to succeed as a data analyst. To answer issues logically, you must be able to pay attention to detail. You must also be able to clearly explain your conclusions to others who will use them to make judgments.
Q. What kind of qualifications are required to be a data analyst?
A bachelor’s degree in math, statistics, economics, computer science, can be very beneficial. However, you can work as a data analyst without a degree in this field if you have the necessary abilities and expertise.
Q. Which software applications are often utilized by data analysts?
Spreadsheet tools like Microsoft Excel or Google Sheets are frequently used by data analysts. They help to organize and analyze data. They can also employ statistical analysis tools like SAS or SPSS. Additionally, database management programs like MySQL or Oracle are used.
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.
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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.
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
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.
by Ekta Rehalia | Nov 2, 2024 | Courses, Data Analytics
With the introduction of ChatGPT and other mass-market generative AI models in recent months, discussion about artificial intelligence (AI) has intensified. Many employment opportunities, including data analytics, might be revolutionized by these formidable technologies. But does this mean that data analysts are no more relevant? Let’s answer the question to one of the most sought-after topics today – Will Data Analytics Will be Replaced with AI?
Short answer: absolutely not. Even before ChatGPT’s rise, AI and machine learning have long been instruments in the data analysis arsenal. The field of data analytics has grown steadily over time. Through 2031, it is expected that demand for data professionals will increase by an astonishing 36 percent, significantly above the norm.
Counterpoint? AI is important. Data analysts won’t become obsolete due to technology, but it will change (and is already changing) the type of analytical job and the value data experts contribute to your company. Let’s first understand what Data Analytics is.
Here is a guide to Data Analytics and Data Science
What is Data Analytics?
The multidisciplinary subject of data analytics uses a variety of analysis methods, such as arithmetic, statistics, and computer science, to glean information from data sets. Data analytics is a vast concept that covers anything from straightforward data analysis to conceptualizing methods of data collection and developing the frameworks required to keep it.
Also Read:
Data Analytics’ Uses
Whether we are aware of it or not, we utilize data every day and it is there everywhere.
Since many company executives utilize data to make educated decisions, data analytics is significant across a wide range of sectors. A shoemaker may use sales information to choose which styles to keep and which to retire, while a healthcare administrator may use inventory information to choose which medical supplies to purchase.
Businesses that utilize data to inform their company strategy frequently discover that they are more self-assured, proactive, and financially astute.
You should know the most important Data Analyst Interview Questions
What is Artificial Intelligence?
Artificial intelligence is just that—artificial—and recently it appears to be the topic of Internet discussion. And with good reason: Artificial intelligence is changing how organizations operate and who works for them.
AI is defined as “the science and engineering of creating intelligent machines, especially intelligent computer programs” in this Stanford study. Although it is connected to the related job of utilizing computers to comprehend human intellect, AI should not be limited to techniques that can be seen by biological means.
Nearly 20 years later, the globe is still struggling with AI issues. Executives, researchers, and engineers working actively in the field of AI are among the business leaders from a variety of sectors who have signed open letters outlining the immediate risk to not just the future of work but also to the future of mankind.
In a declaration issued by the Center for AI Safety and signed, among others, by the founders of OpenAI, Google DeepMind, and Microsoft, it is said that “mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war.”
Does this imply that AI will no longer exist? that the workplace will return to “normal”? that positions such as data analyst won’t be impacted? – No.
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Who is a Data Analyst and What is His Role?
A data analyst is someone who gathers, arranges, interprets, and resolves issues. Large data sets are searched for patterns and trends, and insights that might affect corporate plans and choices are found.
Data analysts start with data collecting from a number of sources to get there. After making sure the data is accurate, they analyze it using statistical techniques, data mining methodologies, and visualization tools to help make sense of the data.
What are the patterns, trends, and insights? is a crucial step in the data interpretation process. A data analyst then responds to the following query: What can we do with this?
A data analyst will collaborate with many departments, teams, and leaders to present solutions to this question and assist the decision-making process through the use of reports, charts, graphs, and other visual and summarizing tools. This necessitates effective communication, the capacity to comprehend the particular demands of both a firm and its customers, as well as the obvious likelihood that both may alter over time.
Data Analysts may help with the outcomes monitoring to determine when and if to pivot, or how agile a strategy has to be. Setting up dashboards to monitor key performance indicators (KPIs) is the first stage in this process. The next step is to design any subsequent actions based on data in order to maintain the plan current and meet the demands of the business.
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When Two Roles Converge: The Integration of AI and Data Analytics
Reading the aforementioned can help one understand how AI can be included in a data analyst’s job description. But does that genuinely imply that AI is a danger to this expanding industry?
We must begin at the beginning and ask how we got here in order to respond to it.
Machine learning techniques started to progress in the early 2000s. These made it possible to evaluate and derive inferences from vast volumes of web data.
Ten years later, the era of deep learning began. We saw object identification capabilities in computer vision (consider self-driving vehicles and the systems that warn them of possible risks) as well as voice detection capabilities that would enable speech assistants like Siri and Alexa to reply in more believable ways.
In under 20 years, machine learning has given way to deep learning and then to generative AI.
With the formal introduction of ChatGPT, we now have access to a fresh perspective. Executives and employees alike began to ponder “What does this mean for me?”
This question may cause anxiety for the data analyst, prompting existing employees and those considering the industry to wonder how the position will develop over time and whether they will still be required.
There is no simple solution, and that is a good thing.
You might begin to comprehend why this position is so complicated if you consider a data analyst as the engine of a corporation. As a driver, they direct teams ahead with information, their findings, and their suggestions on how to proceed.
AI doesn’t pose a threat in this circumstance; in fact it creates the opportunity.
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AI as a Productivity Tool
AI need not be a negative development. You may utilize it as a tool to increase your productivity and your outcomes when you accept it in your capacity as a Data Analyst.
One of AI’s greatest advantages, for instance, is its ability to analyze vast amounts of data. Finding patterns and trends, discovering critical insights, and then figuring out how to convey that knowledge to the people who require it in order to make the best decisions might all fall under this category.
It seems to make sense that the concern “What about me” is foremost in people’s minds given that this strength is also a key component of a data analyst’s work.
Despite recent substantial advances in AI, it is important to remember that these systems still have a long way to go before they can match human levels of general intelligence and comprehension.
Furthermore, it stated, “While ChatGPT can help with repetitive work, technology should be utilized as a tool in conjunction with human skill and judgment. To ensure the quality and dependability of the study, data analysts should verify and critically assess ChatGPT’s recommendations.
A Data Analyst can still be the driver—this time with a co-pilot—when this technology is utilized as a tool to optimize labor, not to replace it. In this situation, the Data Analyst is in charge of not only leading the way and laying out a clear course of action but also ensuring that any instructions and input provided by their co-pilot are accurate and appropriate for the road ahead—which, as we are discovering, won’t always be the case.
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Here’s How Using AI Can Benefit Data Analysts
It is quite improbable that AI will disappear. It will also continue to evolve throughout time, even if it is slowed down or stopped temporarily so that humans can keep up. And you can as well. You actually have to.
In order to deliver the value required in a generative AI economy, businesses and the people they employ must learn to reinvent themselves and their positions as technology evolves more quickly than ever before.
Knowing when and how to employ generative AI, like ChatGPT, helps us better appreciate both its strengths and its weaknesses. This becomes more crucial when technology advances without oversight or recognition of the potential legal and ethical issues that might arise from improper tool development.
It would be an understatement to suggest that AI is here to stay. AI will carry on developing, learning, and expanding, gaining more powers than before. Data analysts also need to adapt, learn, and take the lead in order to keep up. The moment has come to embrace technology rather than turn a blind eye to it. Who knows, after all? Future data analysts may employ AI as the next cutting-edge technique to help them make better business judgments.
Only time will tell. And as we all know, technology advances at an even quicker rate than time.
Having someone or something to work with is advantageous for data analysts since they are critical thinkers.
The following areas can be supported by various kinds of AI:
Pattern Recognition
As we’ve already established, AI is essential for parsing through sets of data to find patterns, trends, and technologies. Some of these might be challenging to identify by hand, which is where AI comes in useful.
Support for Communication
AI can assist us in deciding how to most effectively explain our results and in creating the appropriate visuals for that purpose. Additionally, it may provide recommendations on the kind of data to include in reports depending on different target audiences, such as an executive vs a coordinator.
Finding Data Sources
AI can assist data analysts in their information search so they can obtain the insights they need, saving them hours of time at the beginning of the process.
Data Preparation
AI can help automate the chores of data cleansing and integration, giving data analysts support when identifying and resolving missing values or discrepancies in their datasets.
Every Data Analyst can succeed with AI, but only if they have access to the greatest learning resources and opportunities
How Might AI Benefit Data Analysts?
AI gives analysts the tools they need to swiftly and correctly delve through enormous volumes of data. It excels in identifying trends and gleaning information from the data to give a more comprehensive picture.
Data analysts may now concentrate on repetitive operations that don’t require human insight and discriminating judgment thanks to AI-driven automation. Not to mention, automation lowers the possibility of mistakes, resulting in more reliable and accurate output. Finally, AI provides professionals without data science background or experience with a simple path to managing and comprehending data.
There are several AI-powered solutions available for data analysis, and each one offers something different. Here are a few examples:
Tableau
This well-known tool for data visualization and corporate intelligence aids in the analysis, comprehension, and communication of data. It facilitates the sharing of insights by enabling connectivity to several data sources and the construction of interactive dashboards and visualizations.
The AI technology used by Polymer converts static spreadsheet data into searchable, interactive databases and visual apps.
Microsoft Power BI
By integrating cutting-edge AI capabilities, Microsoft Power BI makes interactive dashboards, predictive analytics, and automated data exploration possible.
Tools like these are changing how we understand, analyze, and use data, not simply by making data analysis more accessible. We can anticipate that as AI technology develops and matures, it will continue to improve our capacity to extract useful, practical insights from data.
Use of AI for Data Analytics and Decision-making: Challenges
AI algorithms primarily rely on the reliability and accessibility of the data they use. Data that is inaccurate, lacking, or biased can provide incorrect analysis and deceptive findings.
Some of the challenges are:
Absence of Human Interpretation
While AI algorithms are excellent at processing and analyzing data, they frequently fall short in providing the context and nuanced interpretation that human analysts provide.
Ethics-Related Matters
AI-driven data analytics poses moral questions about biases in algorithms, data security, and privacy. To ensure ethical AI use, safeguard sensitive data, and minimize any biases that may affect decision-making processes, businesses must traverse the ethical environment.
AI systems are educated on historical data, which may have built-in biases or reflect society preconceptions. If these biases are not properly handled, AI systems may reinforce and magnify them, producing biased results in data analysis and decision-making procedures.
Collaboration between people and artificial intelligence systems is difficult to achieve. Organizational flexibility, skill development, and a clearly defined framework for human-AI cooperation are necessary for integrating AI into current processes and developing a symbiotic connection between human analysts and AI algorithms.
Can AI Replace Data Analysts?
To understand this, we must first classify data science occupations. In the vast field of data science, there are several professions, ranging from data analytics to creating ML solutions.
- Data Analysts are responsible for collecting data, putting it through different processes, such as data cleaning, and storing it in a way that will make it useful for later analysis.
- Data Analysts handle the most challenging part. On the data that data engineers have produced, data scientists create models and do exploratory analyses to uncover various solutions.
Some of the threats AI can pose in this field:
- Putting together and combining data from several sources.
- Transmission of cleaned data to the right places.
- Automate the deployment of the models after they have been created.
- Identifying certain trends in data.
- Creating variations of certain models.
Despite the risks, Data Analysts still needed to include some of the most crucial tasks:
- Supporting information while preserving its effectiveness.
- Building pipelines that are not SQL.
- Maintaining the fundamental framework for the data
Even the most challenging games, like Dota 2, which require quick reflexes and planning, are already under the control of some very advanced AIs. What specifically do they lack that prevents them from carrying out the duties that data scientists are capable of doing?
New challenges are always there for Data Analysts. A Data Analyst’s job is far more diversified than a data engineer’s, who usually does the same set of tasks like gathering data from a certain source or cleaning it. As they always deal with new work in different conditions, they may run into the same problem just a few times.
Sadly, AI struggles with this. Before being employed for a task, artificial intelligence must first be trained for it and only then after achieving a particular level of accuracy.
No matter how sophisticated an AI becomes, it cannot tackle new issues.
For instance, a data analyst could evaluate the data associated with a business challenge as part of their employment. Data analysts will develop a specific model that may be applied to a particular issue inside that problem domain. But the main problem isn’t this, it is that machines do not possess intelligence.
The primary problem is that a data analyst is coming across this specific circumstance for the first time. Because of his or her understanding of machine learning models and how they are created, he or she will be able to manage the project.
Also, AI Is Lacking in Soft Skills. Let’s imagine for a moment that AI has advanced to the point where it has all the technical skills required to be a data scientist, making data science entirely automatable. Is having technical skills the only need for becoming a data analyst?
Answering it simply and practically is “No.” No matter how sophisticated AI gets, it will never be able to compete with a data analyst’s or even a regular CEO’s interpersonal skills.
Frequently Asked Questions (FAQs) on data Analytics and AI – Will Da be replaced by artificial intelligence?
Q. Will AI eventually take the position of data analyst?
Even while AI has come a long way in automating some data analytics activities, it is doubtful that it will ever totally replace human data analysts in the near future.
Q. Which is easier to learn- Data analytics or AI?
To comprehend data, data analysts utilize machine learning and deep learning. In general, Data Analytics is easier to learn than AI since it focuses on utilizing math and statistics to analyze data, whereas AI aims to build robots that can mimic human behavior.
Q. Is a career in Data analytics promising?
Data analytics services are in high demand around the globe. A survey states that 250,000 new job vacancies in the field of data analytics are anticipated in 2023, which is over 60% more than the need in 2019–20.
Summing Up
A considerable paradigm change is occurring in traditional practices as a result of the rapid development of artificial intelligence. Numerous professions are threatened by its expansion, and as automation spreads, there are fewer people around.
People are concerned that the great pace that data science is presently experiencing might harm this profession. To find out whether data science can be automated, additional research is necessary, as this article has demonstrated. There are a lot of unmet demands for AI, and it doesn’t seem like that will change very soon. So, the answer is a big NO!
