IIM SKILLS vs Edvancer Data Analytics Course Review

by Priyanka Sharma | Jul 2, 2025 | Courses, Data Analytics, Institute Review

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

What is Data Analytics?

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

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

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

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

What Data Analytics Components Are Available in the Course?

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

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

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

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

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

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

Also Check,

• MBA In Data Analytics
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• Data Analytics Courses At Coursera
• Data Analytics Courses by NIIT
• Data Analytics Courses After Graduation

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

IIM SKILLS

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

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

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

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

Eligibility Criteria for Data Analysis Course

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

The following are the basic eligibility requirements:

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

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

Objectives:

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

Course Modules

Basic and Advance Excel

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

Basic Visual Application

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

Reporting and integration features for SQL Server

• • Principles of the SSRS
  • Developing Parameters for Visualization

• SSRS Visualization Creation

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

Use of Python in Data Analytics

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

Power BI

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

Tableau

• Data handling and report writing (with Tableau visuals)

Tools Knowledge in Advanced Data Analytics Syllabus

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

Course Fee: ₹ 49,900 + 18% GST.

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

Internship:2 Months Internship

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

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EDVANCER 

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

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

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

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

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

Eligibility Criteria

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

Skills That Students Need to Learn

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

Objectives

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

Course Content 

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

Duration: 90 hours

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

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

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

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Frequently Asked Questions (FAQs)

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

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

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

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

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

Job Responsibilities of Business Analyst 

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

Responsibilities of Business Analyst

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

Job Responsibilities of Marketing Analytics Manager

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

Job Responsibilities of Financial Analyst

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

Job Responsibilities of Quantitative Analyst

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

Job Responsibilities of Risk Analyst

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

Q. What fundamental skills are required for data analysts?

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

Different programming languages 

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

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

Expertise in Data visualization

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

Conclusion on IIM SKILLS vs Edvancer Data Analytics Course

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

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

IIM SKILLS vs TCS iON Data Analytics Course Review

by Priyanka Sharma | Jul 2, 2025 | Courses, Data Analytics, Institute Review

If you are from a technical or non-technical background, and considering a course that can evolve your career in the upcoming digital generation, then this is the right page for you. In this article IIM SKILLS vs TCS iON Data Analytics Course, we are going to introduce you to everything. The need for data analysts is rapidly expanding along with the amount of internet data that is being generated. Nearly all industries are implementing data tactics to improve business decisions.

Many college students and recent graduates find data analysis to be an appealing career choice due to the strong demand for their services. But it can be difficult to grasp how you can get into the industry, particularly if you have a different educational background.

Before you make a final choice, you must be aware of the prerequisites and eligibility standards. Even if you meet the eligibility standards, you must make sure that mastering quantitative subjects like programming and maths is something you are interested in.

A Data Analytics course can boost a career as a data analyst for those interested in this field. However, you must be familiar with data analytics and how to launch your career before enrolling. Let’s start basics of Data analytics in this read- IIM Skills vs TCS ion Data Analytics Course

Data Analytics: A Brief Detail

Analyzing raw data to derive actionable insights is known as data analytics. Various techniques and technologies are utilized in the analytics process for trend finding, projection, and anomaly detection. This data’s structure can be semi-structured, unstructured, or structured. Data visualization tools can be used to visualize the data after analysis in the form of graphs, charts, or illustrations.

Data analysts are experts who examine the data to produce meaningful information. To better commercial and policy decisions, they gather, purge, and analyze data. Data analysts analyze the gathered data using their knowledge of mathematics and programming. After conducting the study, they must be able to explain their conclusions to those who are responsible for making crucial business decisions.

Businesses, governments, pharmaceutical companies, space agencies, and explorers are realizing the value of comprehending the enormous volume of data that at first glance appears to be unrelated thanks to improved data analytics.

Data aids businesses in developing more successful marketing strategies, better client understanding, and all-around improved customer service.

Data analytics can be defined as the process of analyzing raw data to find trends and make inferences about those trends. These discoveries aid in streamlining processes to boost an organization’s or a business’s efficiency.

To keep up with the enormous amount of data generated every second and to extract usable information from it, nearly every firm is looking to hire data analysts. One of the greatest ways to enter this profitable and quickly increasing field is through data analytics courses. India is already one of the leading nations in the world for the export of data analytics services.

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What Are Some Major Reasons to Pursue a Career in Data Analytics?

The data analytics courses are the simplest and maybe quickest method to begin your data analytics profession. In this read- IIM SKILLS vs TCSion Data Analytics Course we provide you a detailed reason for enrolling in the Data Analytics course. IIM Skills and TCSion provides an Advanced Certificate program in Data Analytics.

The following are some of the most persuasive arguments for pursuing a profession in data analytics:

Data Analytics Are Highly Valued by All Enterprises.

Both small and large companies are becoming virtual platforms. The enterprise’s primary priority is to adopt big data, which creates chances in banking and insurance, healthcare, and other industries. The transition has led to better marketing, B2B market interactions, and coordinated operations and manufacturing.

The Absence of Skilled Individuals With Absolute Skill Set

Despite the growing demand for data analytics job profiles, there is a considerable shortage of qualified workers compared to the number of data analysts who are currently employed.

There Are Lots of Employment Openings in Many Industries

To support organizational development, the big data analytics framework offers both technical and non-technical Business analyst profiles to develop legit organizational growth.

Combine Managerial Savvy With Analytical Prowess

Students can excel in the field of data analytics if they have the perfect mix of administrative and analytical skills. With a variety of career prospects and high pay ranges, the industry is seen as a very attractive employment option. Due to their in-demand skill sets, the industry norms offer data scientists and analysts substantial wages.

Wide Variety of Career Prospects

Job seekers can hunt for employment as a data analyst, data architect, statistician, project manager, chief data officer, or ML engineer among many other professions. Depending on your preferences, you can select a degree and a range of specializations.

As an example, forensic data analysts support the recovery and preservation of digital evidence for criminal and cybercrime investigations. Data mining is another specialized field where professionals look at data to find patterns and trends.

Why Data Analytics is Essential for Business?

Answer: Data analytics is the key to unlocking the useful insights that businesses generate from their vast variety of data. Data analytics works with everything from marketing to specific clients to recognizing and reducing business setbacks. Let’s examine some advantages of adopting data analytics.

Develop a Consumer Experience Unique

Businesses collect their users’ feedback from a variety of sources, including multiple social media platforms, traditional retail, and e-commerce. 

Retail clothing companies with both a physical and online presence might combine data from both sources about their sales to assess all sets of data. This helps businesses develop targeted social media campaigns to increase e-commerce sales for product categories in which customers are already interested.

Businesses can use customer data to run behavioral analytics models and further improve the customer experience. A company uses e-commerce transaction data to run a predictive model to identify products for sale.

Stimulate Smart Business Decisions

The management of supply chains has benefited more and more from data analytics. Big data and quantitative techniques are used in supply chain analytics to improve decision-making throughout the chain. Big supply chain analytics, in particular, widens data sets for more in-depth analysis beyond the customary internal data found in enterprise resource planning (ERP) systems. 

Businesses can employ a model to predict how cfhanges in product pricing offerings will affect client demand. Companies use a model to predict changes in product pricing and offerings that will affect customers’ demand in different ways. To evaluate the validity of the concepts generated by such models, changes to product offerings might be made. Organizations use data analytics tools to assess performance and visualize marketing outcomes after gathering informative sales data on the modified items. This will assist small or big businesses in decision-makers deciding whether to implement the changes for progress across the company or not.

Optimize Processes

Data analytics can help organizations increase operational effectiveness. Data collection and analysis regarding the supply chain can reveal the source of production delays or bottlenecks and aid in the prediction of potential future issues. This would prevent production delays.

Companies manage to maximize their inventory levels, especially those in the retail industry based on elements like seasonality, holidays, and secular trends, data analytics can assist in determining the best supply for all of an enterprise’s products.

Reduce the Risk of Dealing With Difficulties

In business, risks abound. It works for employee safety and legal liabilities for an organization that can use data analytics to better evaluate hazards and implement preventative actions. To identify which locations are most vulnerable to theft, for instance, a retail chain could use a propensity model, a statistical tool that predicts future behavior or events. The company might use this information to decide how much security is required at the stores or even whether it should exit any particular location.

The best way to clear sales and minimize inventory can be found by using data analytics.  Companies overestimate their demand for a product and evaluate through statistical models that automatically generate solutions to persistent issues with the product that might be resolved by data analytics.

Security

Data security threats exist in all forms, and it is necessary to be averted by organizations. Organizations can employ data analytics to detect the root causes of security breaches. To restrict vulnerabilities, IT uses such information for security.

Statistical models can be used by IT departments to curb threats. A distributed denial-of-service attack is an example of an attack that frequently involves anomalous access behavior. These configured models can be used to run continuously for data analytics in organizations, with monitoring and alerting systems. It is added on top to find and flag anomalies so that security experts can take rapid action.

IIM Skills vs TCS ion Data Analytics Course

IIM SKILLS

The top educational institution, IIM SKILLS, offers a variety of professional and skill development courses. Their data analytics courses are highly regarded and the most popular globally.

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

The institute offers the best knowledge with its outstanding faculty, each of whom has years of expertise in their field, skilled experts with in-depth topic knowledge, and a deep understanding of effective instructional techniques. Before presenting you with 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.

Eligibility

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

Eligibility Criteria

• A bachelor’s degree in any related field.
• Basic expertise in computers and technology.
• A prior experience in statistics and mathematics might be beneficial but is not compulsory. 

Curriculum: IIM Skills offers a Data Analytics Course to Obtain Skills

• Learn statistical theories: Correlation, central tendency, dispersion, and regression.
• Learn the Python language’s conceptions.
• Learn the variables ideas of conditions, loops, functions, etc. to develop Python programs.
• Learn 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.
• Learn to effectively use techniques including K-means, DBSCAN, and clustering with hierarchies.
• Learn to use Excel to perform business analytics.
• Learn knowledge about Microsoft’s Power BI analytics and visualization experiences.
• Acquire in-depth knowledge of visualization techniques in advanced market analysis, waterfall visualization, and heat maps.

Some Legit Reasons to Choose IIM SKILLS:

• IIM Skills is the most well-regarded ed-tech company in the world to offer the best professional courses.
• It is best known for its extensive selection of professional and skill development courses.
• Training that is 100% practical and goal-oriented.
• 100% guaranteed internship for real-world experience.
• Free lifetime access to educational materials.
• Offers a completely free demo session.
• Mentors offer advice and assistance in career-related.

Mode of teaching:  Online (virtual)

Course Duration:  6 Months + 2 Months Internship

Course Fees: INR 49990 Rs + 18% Taxes

TCS iON

TCS iON offers aspirants to build skills and enhance their knowledge of data with the theoretical concepts and processes associated with data analysis. For professionals as well as fresh learners in the fields of mechanical engineering, electronics and communication engineering, and computer science engineering, the “Data Analytics and Reporting” online certification program is offered. Students who complete the course will be prepared to work as data scientists, analysts, and modelers.

The objective of TCS iON is to offer an online Data Analytics course for students to gain a thorough understanding of data analytics principles, data pre-treatment, and the methods and tools used in data analysis. For students who meet the requirements, TCS’s iON digital learning hub offers this certification program.

This prestigious industry certification from TCS iON will teach the knowledge of data analytics for statistical and machine learning techniques. With the use of online classrooms, lectures, practical activities, and digital materials, the students are actively using virtual learning approaches. Academic experts and business leaders, including a TCS manager and associate professor from IIT Patna, serve as the course mentors. 

After completing the course, the online certification program in “Data Analytics and Reporting” provides students with the technical and professional abilities they need for further career growth or internships. Program learners receive digital certificates.

Eligibility Conditions

The minimum requirements for the “Data Analytics and Reporting” course are knowledge of basic mathematics, programming, data structures, algorithms, and statistics.

Criteria to Get the Certificate

Students can receive a certificate of success if they receive minimum scores of 40% on Part A, 50% on Part B, and an overall average of 50% on the summative assessment.

Students who complete the coursework, projects, assignments, and practice exams but are unable to write the summative assessment will still receive a participation certificate.

What Skills Do Students Acquire? 

• Expertise in statistics, 
• Data visualization, and data science
• Machine learning
• Technical expertise
• Understanding of algorithms

The course is designed by well-experienced and qualified industry experts for students to comprehend the methods for assessing the characteristics of data. The students will be familiar with data reporting methods and obtain the necessary data. Learners will get the opportunity to engage with machine learning models throughout the program and create reports from data to derive insights.

Mode of course study: Online (self-study, virtual classroom)

Duration: 6 Months

Fee: 20,000 (inclusive of GST)

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Frequently Asked Questions (FAQs)

Q. What is the future of Data Analytics in upcoming years?

Future of Data Analytics

In the last few years, the percentage of internet users rose from 20% to 41%, and the figure is growing. Along with the consumers, the amount of data accessible online is growing daily, fostering the development of the data analytics sector. According to studies, the need for data analysts will continue to expand in the medium term more quickly than that of other professions.

Data analytics has had a significant impact on businesses since it enables them to make better decisions rather than relying entirely on assumptions. This is the primary cause of the steadily rising demand for data analysts across all industries. Learning from their data can help all organizations, enterprises, governments, and regulatory agencies. Thus, data analysts are needed in practically every organization.

Data analytics is revolutionizing how organizations operate. According to some studies, big data tactics will displace pilot projects at 75% of businesses by 2024. The enormous amount of data is proof that data analytics has a bright future and will keep expanding in the years to come.

Q. What You Need to Do to Become a Data Analyst?

• You need a bachelor’s degree in any field to work as a data analyst. Although not a strict prerequisite, having a degree in mathematics, statistics, programming, or another quantitative discipline is encouraged. You should be interested in understanding these topics if you want to pursue a career in data analytics.
• Many data Analytics courses are created for those with no formal education in these fields who are just entering the profession. In many situations, programming experience and an interest in data analysis may be adequate.

Q. What type of Skills are required for Data Analytics?

To become a data analyst; one needs to get knowledge of the following abilities:

• Data analytics fundamentals: Learners will get familiar with techniques, procedures, and equipment employed in data analytics must be familiar to you.
• Technical knowledge: Data analysts analyze huge datasets using a variety of mathematical and statistical techniques. Learners get expertise in mathematics, but they must grasp fundamental ideas like calculus, probability, statistics, and linear algebra.
• Programming Knowledge: Some technical knowledge is also necessary. Python, R, and SQL are just a few of the programming languages you must learn and master.
• Knowledge of Data Analytics Tools: Data analysts employ a variety of analytical tools, including Tableau, MS Excel, Google Analytics, and MS Power BI. One needs to be conversant with the data analytics technologies that enable better data collection, manipulation, and analysis.
• Data analysts should also possess some additional soft skills, such as communication, problem-solving, presentation, analytical thinking, etc. These abilities can be acquired independently through consistent practice.

Conclusion Of this Read-IIM Skills vs TCS ion Data Analytics Course:

The subject of data analytics is well into its early phases of development; it is becoming a self-supporting discipline and creating people with unique and complementary skills in comparison to those in the computer, information, and statistical sciences. However, the evidence speaks to a vigorous expansion in data analytics education that will irrevocably alter the undergraduate students of the future, regardless of its likely ultimate disciplinary standing. In reality, because of rising corporate demand and student interest, undergraduate education in data analytics is set to become a mainstay. As the significance of data skills becomes even more widely acknowledged, there will be an increase in the number of students majoring, minoring, getting certificates, or merely taking courses in data analytics.

IIM SKILLS vs IIT Kanpur Data Analytics Course- A Comprehensive Discussion

by Priyanka Sharma | Jul 2, 2025 | Courses, Data Analytics, Institute Review

Start your career in data analytics and be a successful professional in the technology field. This page about- IIM SKILLS vs. IIT Kanpur Data Analytics Course – A comprehensive discussion is a perfect read. Beginners or already working professionals who are looking for a successful career in data analytics will get a comprehensive discussion. This blog will evaluate both of these educational institutes’ and data analytics courses together so you may make crucial decisions that are suited for you.

This blog on IIM SKILLS vs. IIT Kanpur Data Analytics Course will help our readers to understand data analytics from the basics and will include all the information related to data analytics to understand. Let’s start by defining Data Analytics.

Data Analytics

Data analysis is a systematic computing analysis of data or statistics. Data Analytics is commonly used today by businesses for the identification, explanation, and dissemination of huge and significant data patterns. It also incorporates data patterns to make decisions. Analytics, which heavily depends on the contemporary application of statistics, computer programming, and other operations research to quantify significant performance. It can be useful in sectors for financial information. The practice of data collection is used and created through Data Analytics software.

The Field of Data Analytics Crosses Several Disciplines:

• • To extract useful information from data through analytics.
  •  Substantial usage of computer expertise.

• Usage of mathematics, statistics, the use of descriptive approaches, and prediction models. 

• Use in unsupervised machine learning methods like cluster analysis, Principal Component Analysis, segmentation profile analysis, and association analysis.

The phrase “advanced analytics” is increasingly being used to refer to the technical components of analytics, particularly in the newer areas like the application of machine learning methods like neural networks, decision trees, logistic regression, linear to multiple regression analysis, and classification to perform predictive modeling. 

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Data Analytics is Used by Organizations for Many Purposes Such as:

Analytics of Marketing Optimization

Analytics are used by marketing firms to assess the results. Businesses run marketing campaigns and direct initiatives for customer targeting. Marketers can use a lot of consumer purchase, survey, and panel data together with techniques like conjoint analysis, demographic studies, and customer segmentation to comprehend and articulate their marketing strategies.

Quantitative and qualitative data, both structured and unstructured, are combined in marketing analytics to inform strategic judgments about brand and revenue outcomes. Utilizing the data, businesses can predict outcomes and change their strategic planning to improve performance.

Marketing approaches to pricing, advertising and modeling analyses, sales force optimization, and customer analytics, such as segmentation, are analysis methods that are often employed in the field of marketing. Nowadays, more often than not, more traditional marketing analysis techniques are used in conjunction with web analytics and optimization of websites and online campaigns. Because of the emphasis on digital media, marketing mix modeling is now frequently referred to as attribution modeling in the context of digital or marketing mix modeling.

The strategies, approaches, and technical tools, support operational initiative support, which aims to target the best potential customer with the best message in the most cost-effective medium at the best time, and more strategic campaign support, which focuses on how much overall to spend on marketing and how to allocate budgets across a portfolio of brands and the marketing mix.

Analytics of Human Behavior 

To understand better workforce capability and alter how businesses are run, statistical analysis of human behavioral data.

Workforce analytics, HR analytics, talent analytics, people insights, talent insights, colleague insights, human capital analytics, and HRIS analytics are other terms for people analytics. Analytics applied to human resource management is known as HR analytics. It has been claimed that People Analytics is a distinct field from HR analytics, with a stronger emphasis on business challenges than on operational procedures. However, experts have different opinions, with many suggesting that in the changing workplace brought on by automation, Human Resources will need to develop People Analytics as a crucial component of a more effective and strategic corporate role. Some experts contend that People Analytics should remain within HR rather than being moved there but with the help of a new breed of HR professional who is more data-driven and business-smart.

Analytics for Business Portfolio

Data analytics is also used for business portfolio analysis. Portfolio analysis is a typical use for business analytics. Here, a bank or lending organization has a variety of accounts, each with a different value and level of risk. The accounts may vary according to the holder’s social position (rich, middle class, impoverished, etc.), location, net value, and a variety of other characteristics. For each loan, the lender must strike a balance between the return on the loan and the default risk. How should the portfolio be assessed as a whole then?

Although there aren’t many affluent people, lending to them can be the lowest-risk option. However, lending to the impoverished is riskier and there are a lot more of them. It is necessary to strike a balance between increasing yield and reducing risk. To decide when to lend money to these various borrower segments, or to decide the interest rate to be charged to members of a portfolio segment to compensate for any losses among members in that segment, the analytics solution may integrate time series analysis with many other challenges.

Analytics of Risk

In the banking sector, predictive models are created to offer certainty to the risk scores for specific consumers. Credit scores, which are frequently used to assess each applicant’s creditworthiness, are created to anticipate a person’s propensity for delinquency. Additionally, both the scientific community and the insurance sector do risk studies. To determine whether a transaction is legitimate or fraudulent, it is also widely employed in financial institutions like online payment gateway businesses. They exploit the customer’s transaction history for this purpose. When there is an unexpected increase in the volume of client transactions, this is more frequently utilized for credit card purchases. The consumer receives a call to confirm whether the transaction was initiated by him or her. This aids in minimizing loss brought on by such events.

Digital Analytics

A collection of technological and business processes known as “digital analytics” is used to define, develop, gather, validate, or transform digital data into reporting, research, analyses, suggestions, optimizations, forecasts, and automation. This also applies to SEO (search engine optimization), where keyword searches are monitored and the resulting information is used for marketing.[31] Digital analytics includes banner advertisements and clicks as well. For their digital marketing projects, an increasing number of brands and marketing agencies rely on digital analytics, where MROI (Marketing Return on Investment) is a significant key performance indicator (KPI).

Analytics for Security

Information technology (IT) gathering security events for understanding and analyzing those that offer the highest risk is referred to as security analytics. Products in this category include event management, user behavior analytics, and security information.

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IIM SKILLS vs. IIT Kanpur Data Analytics Course – Let’s discuss

IIM SKILLS

IIM Skills offers a 6-month-long Data Analytics Training program that also includes a 2-month, elective, unpaid internship. You achieve proficiency in a wide range of topics, including NumPy, clustering, DB Scan, Python libraries, and many more ideas.

The courses cover a wide variety of topics, combining both theory and live practical, that are relevant to a range of professions and businesses. The extensively designed curriculum by experts aids in students’ skill development and ensures they receive the greatest education. They can transform their passions into successful and fulfilling careers by determining their passions and developing their skill set. 

IIM SKILLS is the Best Choice for the Following Reasons:

• IIM Skills provides lifetime access to the study materials and class recordings.
• It offers career assistance and advice in job placement.
• IIM Skills provides demo classes for learners, if they are not satisfied with demo classes, can withdraw their enrolment immediately after the first class.
• A 2-month internship is also included in the program for practical professional experience and certification.
• Learners will be able to get updated skill-based training that is useful and based on the latest trends.
• One of the most crucial reasons for choosing IIM Skills is that learners can study remotely in their comfort zone under the best guidance. 
• IIM Skills has the best knowledgeable and industry-expert faculty members who are proficient in their subjects.
• IIM Skills conducts classes at flexible timings, so both students and professionals can take their classes without any misses. Classes are mostly scheduled on weekends, if someone misses due to their immediate obligations, class recordings are also available for them to cover the syllabus.
• 10% of group discount on group registration.

Modules

• Data Analytics Using Advanced Excel (9 Hours)

Topics included

• Introduction to Data Handling
• Data visualization in Excel
• Data manipulation and its function
• Data analysis and its reporting
• Dashboard
• Dashboard creation by using Excel- Pivot Controls

Course Content

• Introducing Excel
• Formatting and Conditional Formatting
• Data Sorting
• Data Validation and Filtering

• Data Analytics Using VBA (15 Hours)

Topics include

• VBA
• Primary elements of programming language
• What VBA is and how does it work with Excel?
• Programming construction in VBA
• VBA functions and procedures
• Memory management in VBA
• User’s communication

Course Content

• What is VBA?
• Macro recordings and IDE

• Data Analytics Using SQL (39 Hours)

Topics covered

• RDBMS conceptualization
• Utilising and exploring the object
• Data manipulation
• Object creation based on Data
• Reporting services (SQL server)
• Integration services (SQL server)

Course Content

• Schema – Meta Data
• Database design
• Data integration- types of relationship
• Basic concepts- Queries, Data types & NULL values, operations, and SQL comments

Data Analytics Using Power BI (24 Hours)

• Introduction of Data Preparation
• Introduction of Data Modeling
• Learning to add and remove rows in columns
• Data Analysis Expression (DAX)
• Report management visuals in Power BI

Course Content

• Introduce Power BI
• Power BI installation on desktop (signup)
• Power BI views
• Apps templets
• Task pipeline while working on projects

Data Analytics Using Python-1(10 Hours)

• Foundation of basic statistics
• Basic Mathematical Introduction
• Basic introduction to Data Science and Analytics
• Python
• Numerical Python
• Foundation of Pandas
• Data cleansing (with Python)

Course Content

• Basic Statistics
• Computation of variance and central tendencies
• Frequency computation
• Ranking
• In-depth knowledge of Probability & Distribution
• Conditional Probability

Data Analytics Using Python-2 (10 Hours)

• Data Analysis with Python
• Basic tools for visualization
• Data Visualization
• Advanced Data Visualization
• Statistical and hypothesis method, testing, etc

Course Content

• Exploratory Data Analysis
• Descriptive statistics
• Summarization
• Frequency Tables
• Data distribution &Graph Analysis

Data Analytics Using Tableau (15 Hours)

• Introduction of Data handling
• Introduction of summaries-1
• Introduction of summaries-2
• Advance report building
• Fields & Table calculation

Course Content

• Introduction of Tableau
• How Tableau works
• Data Introduction, connection, source, and concepts
• Tableau workspace comprehension
• Types of Data and properties
• Shelves and Marks card
• Work overview

R For Data Science (20 Hours)

• Data Importing
• Data exporting
• Data Analysis & manipulation
• Using R for Data visualization and database
• Basics of statistics
• Testing Problem-solving 
• Course Content
• Data import & Export
• Data export in various forms
• Data import in various formats
• Full and partial Data viewing
• Data types and structure
• Concepts of base and other useful packages

Data Analytics Using Alteryx (18 hours)

• Use of Alteryx for Data Analytics

Course Content

• Basic concepts of Alteryx
• Introduction of tools for Data type change
• Comprehensive understanding of Alteryx settings
• Data source connection
• Data set types
• Designing Interface
• Data cleansing
• Recognising Data fields
• Use of string Data for filtrations
• Blending data from various sources

More Details

Data Analytics Master Course

Duration: 6 Months Course

Internship Duration: 2 Months Guaranteed Internship

Training Period: 160+ Hours Live Training & 100+ Hours Theory & Practical

Tools Learning: Learning from Tools

Placement: Regular Job referrals & Interview Guarantee

Fee: INR 49,900 + inclusive Taxes

IIT Kanpur Data Analytics Course

IIT Kanpur offers Advanced Data Analytics Certification. The Data Analytics Course from IIT Kanpur is a great learning process. The faculty team is well qualified and expert in their respective subjects Also they are very quick in response and doubt clearing of students.

Students will be able to learn in-depth business analytics concepts, analytics techniques, and R language programming. Apart from this, the study material is comprehensive, engaging, application-oriented, and practical more than just theory. The case studies and assignments offer students to learn various concepts and theories of different programming, Some tests are technical analytics and more understanding while improving your comprehension.

With core competencies in the highly sought-after fields of data analytics, statistical modeling, and data visualization in R, Tableau, and SQL, IIT Kanpur is the top-ranked institute of national importance in India.

Some Significant Reasons to Choose the Data Analytics Course From IIT Kanpur Such as:

• Receive a certificate from IIT Kanpur with comprehensive job support that is endorsed by the Indian government.
• Obtain a certificate from IIT Kanpur with full work support that has been approved by the Government of India.
• 70% of the training will be practical.
• 7 commercial projects across various industries
• 7 commercial projects across various industries
• IIT Kanpur offers a full refund 6 days after the start of classes, if students are not satisfied with our teaching then they have the option to cancel their enrolment.
• Well-experienced, elite academicians from IIT Kanpur and leaders in their fields from TCS to Accenture.
• 24×7 access to the course material and videos.

Students From IIT Kanpur Get Placement in Some of the Most Reputed Companies Such as:

• Cognizant
• TIGER ANALYTICS
• Accenture
• PWC
• Deloitte
• TATA Consultancy Services
• AON
• LARSEN &TOUBRO
• Capgemini

Course Curriculum

Data Analytics in R

• Introduction of Analytics
• Basic structure of R
• Fundamental Statistics using R
• Logistic and Linear Regression in R
• Marketing analytics using R
• Segmentation, Time series foretelling R
• Decision Range using R
• Random Forest
• XGBoost in R
• Problem Solving
• Understand Analytics with Actual Business problems

Data Analysis using SQL

• Fundamentals of SQL
• Data Types & Operations (SQL)
• Trending Operations in SQL
• Comprising Data using SQL
• Functions in SQL
• DML and DDL Statements (SQL)
• Joining and Viewing using SQL

Use of Tableau in Data Visualization

• Introduction of Power BI, Tableau & Visualization
• Data Sources Connection
• Tableau Producing Fields
• Data Customization & Manipulation
• Parameters of Statistics
• Creation of Dashboard & Visualization

Data Analytics using Python

• Fundamentals of Python
• Loops and Function
• Data Summary
• Data Visualization using Pandas
• Data Processing using NumPy

Through this program, which is offered through live sessions with industry experts, hands-on laboratories, and live masterclasses from renowned IIT Kanpur faculty, you can develop your data analytics abilities and learn how to demystify data. Enhance your ability to apply analytics by learning important topics.

Advanced-Data Analytics Certification

Eligibility: Graduate in any field | Technical background not required

Duration: 180 Hours

Training: Live Training & 100+ Hours Theory & Practical

Tools Learning: Tools-based training

Placement: Regular Job referrals & Interview Guarantee

IIM SKILLS vs. IIT Kanpur Data Analytics Course Conclusion

If you have a keen desire to learn a course that will be not just different from the traditional profession but also help you to grow in your career in constant or advent digital transformation then the Data Analytics course is ideal for you. You need to choose your course and institution more careful

Data analytics has recently become one of the most sought-after occupations in India. To help them make sense of the data explosion brought on by the digital age, businesses are looking for qualified individuals. Numerous data analytics courses have appeared in response to this need, each offering to give students the knowledge and abilities necessary to succeed in this industry. Despite this, some courses provide more placement support than others and are not all created equal.

In conclusion, the aforementioned learning platforms are well-regarded and offer top-notch Data Analytics courses. By concentrating on real-world projects and industry-specific themes, students can get practical experience and information that will help them in their careers. 

I hope the information in this blog-IIM SKILLS vs. IIT Kanpur Data Analytics Course will be helpful in making the right choice for the course and educational institution.

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Frequently Asked Questions (FAQs) on this read- IIM SKILLS vs. IIT Kanpur Data Analytics Course

Q. Is studying a data analytics course beneficial for a career?

The Data Analytics course is worthwhile for the present and future. It offers several career options in different positions but in the end, it all comes down to one’s effort and professional objectives. Assessing the value of a course in data analytics depends on account the following factors:

• Career opportunities in Data Analytics: As organizations highly rely on data-driven insights for business decision-making, data analytics is in rising demand across industries. Course in data analytics can lead to employment in several different fields, including data analysis, business analysis, data science, and data consulting. These jobs frequently have vacancies for constant advancement and lucrative reimbursement.
• Skills: A training program in data analytics offers learners a well-structured curriculum and live practical instruction on several topics like data manipulation, machine learning, data visualization, statistical analysis, and language programming. These technical skills are beneficial in the present job sectors, and market. These skills can increase your employability in different sectors that rely heavily on data.
• Advanced comprehensive knowledge: An advanced understanding of data analytics principles, processes, and best practices is provided via a program. The course in Data Analytics helps learners to achieve comprehensive statistical details and modeling. The data management and the moral issues related to the use of data can stand out among applicants without a formal education in the subject if they possess such particular knowledge.
• Networking and connections: Earning a certification/diploma in data analytics gives learners the chance to maintain connections with professors, peers, and business leaders. These relationships may be useful for prospective employees in future partnerships, job placements, and internships. Career development of beginners may also benefit from the advice and insights offered by networking/ connections of academic members and seasoned professionals.
• Credentials and credibility: Skills and credentials will be more sustainable if the course in data analytics is from a valid educational institution. Employers value such achievement if it is a specific level of academic proficiency and a thorough comprehension of the subject. 
• Recognition in the industry: Businesses demand such professionals who have training in data analytics. They might favor applicants who have proven a dedication to learning and have accumulated a wide range of abilities through a program. In these situations, having a course in data analytics can help the application stand out.

The value of a data analytics education ultimately depends on your objectives, the particular curriculum learners choose, the employment market, and the capacity to make use of the knowledge and skills have acquired throughout studies.

Q. How Can Data Analytics Work for Business?

Data analytics is very useful for businesses because it helps in making better decision-making, identifying new market trends, updates, and patterns after data research, and improving the overall financial performance of a business’s goals.

Q.  What Tools are Typically Used for Data Analytics?

Tools and Technologies

• Python and R
• statistical programs  
• SAS and SPSS
• Visualization tools like Tableau 
• Power BI.

IIM SKILLS vs. IIM Calcutta Data Analytics Course Review

by Swati Varli | Jul 2, 2025 | Courses, Data Analytics, Institute Review

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

What is Data Analytics?

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

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

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

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

Function of Data Analytics

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

Data analytics is important in the following ways, 

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

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

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Ways to Use Data Analytics

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

Better Customer Care

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

Improved Decision Making

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

Operations Efficiency

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

Effective Marketing

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

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

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

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

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

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

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

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

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

About IIM SKILLS

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

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

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

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

Overview of Data Analytics Masters Course

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

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

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

About IIM Calcutta

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

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

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

Overview of Business Analytics Program

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

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

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

Eligibility Criteria:

Admission Process:

Mode of Learning:

Learning Resources:

Course Duration:

Course Fees:

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

IIM SKILLS vs. IIM Calcutta Data Analytics Course Curriculum: 

Tools Covered by IIM SKILLS

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

Certification

Learning Outcomes of IIM SKILLS

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

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Why choose IIM SKILLS?

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

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

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

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

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

Learning Outcomes of IIM Calcutta

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

Why choose IIM Calcutta?

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

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

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

Professional Courses from IIM SKILLS

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

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

Q. Is data analytics and business analytics the same?

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

Q. Can a fresher obtain one of these courses?

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

Q. Does data analytics have a bright future?

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

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

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

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

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

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