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Data Analytics Master Course by IIM SKILLS

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IIM SKILLS vs. Udemy Data Analytics Course 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. 

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


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

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

Qualifications for Our Top Data Analytics Course

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

The following are the essential requirements for eligibility:

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

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

IIM SKILLS’S Master Certification Data Analytics Course

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

Special Features of This Course:

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

How to take IIM skills’s Data Analytics Course


Registration 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.


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.


  • $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.

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