IIM SKILLS vs Dataquest Data Analytics Course – Detailed Review

by Sana Aijaz | Jul 2, 2025 | Courses, Data Analytics, Institute Review

Looking to work in data analytics? Ecstatic to step inside this enormous hub, where one can push their exploration to the extreme if they choose so. Careers in data analysis are booming in the Big Data era. Even though beginning your journey into data analysis may seem scary at first, with the right resources and guidance, you can develop the skills and knowledge needed. In order to get help with this, you are encouraged to read this post, IIM SKILLS vs Dataquest Data Analytics Courses. You may get in-depth professional guidance here while learning everything there is to know about data analytics. You’ll learn more about these two esteemed universities and their cutting-edge features as well.

Since data analytics goes beyond merely “getting data,” it might be difficult to impart knowledge in an instructional environment. Other aspects of data analytics, however, are more easily understood and relate to knowledge that the majority of us already have in our daily lives. Simply said, data analytics is the use of statistics and measurements to a phenomenon that is unclear or ambiguous in order to get a deeper understanding.

The Uses of Data Analysis

The following are a few of the common uses for data analysis:

Better Healthcare Provider

Hospitals and healthcare facilities are able to foresee the early start of chronic diseases with the help of data analytics. They can foresee ailments that could develop in the future and assist patients in acting quickly to cut down on medical expenses.

Analytics for Fraud Detection and Risk

Data analytics is often used in banking to examine unusual transaction and client information. In order to reduce losses and stop fraud, banks also utilize data analytics to examine loan defaulters and credit scores for their clients.

Optimization of Transport Routes

To enhance routes and rates for their customers, businesses like Uber and Ola fully rely on data analytics. They use an analysis platform to find the ideal route and calculate percentage increases and decreases in taxi fares based on a variety of variables.

Improvement of Search Results

Companies like Google use data analytics to provide users with search results based on their interests and search history. In order to offer its customers the best accommodations, companies like Airbnb also use search analytics. Search analytics are being used by companies like Amazon to provide their customers with personalized recommendations.

Enhanced Logistics

For supply network analysis and to reduce logistics latency, several organizations employ big data analytics. Amazon examines customer needs using consumer analytics, then promptly sends the appropriate products to them.

Limiting the Amount of Energy Used

The amount of energy utilized by households and businesses is being monitored by public-sector energy corporations using data analytics. They are adjusting the energy supply to take into consideration usage trends in an effort to save money and reduce energy use.

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Beginner’s Advice for Getting Started With Data Analytics: 

• Participate in online networks and forums dedicated to data analytics to gain expert advice and have discussions on related subjects.

Practice with real-world datasets and APIs to learn the ropes and improve your problem-solving abilities.

• The fundamental concepts can only be understood by someone with a strong background in mathematics and statistics.
• Acquire some programming skills in languages like Python or R that are commonly used in data analysis.
• By using blogs, webinars, and trade publications, you may keep up with the latest technologies, techniques, and trends.

IIM SKILLS

IIM SKILLS offers a 6-month Data Analytics course with a guaranteed interview and unpaid internship, covering 100+ hours of practical assignments and 160 hours of lectures. With seven or more active projects and ten or more case studies, they have a strong reputation in tool-based, hands-on learning. You will learn how to use 7+ tools in this course, including Excel, Python, Tableau, and SQL. A Master credential is given upon successful completion of the program. 

 Key Features of This Course Are:

The course covers seven real-world projects with well-known industries and more than ten case studies.

Students may enroll in the institute’s 2-month internship program when the course is completed. Students receive support with challenges and problem-solving as well as practical knowledge of all the ideas they have acquired in class. This guarantees that the pupils are well-equipped to handle the situation in the actual world.

The students get lifetime access to the Learning Management System (LMS), in which all the taught content, video recordings, and other material are archived.

Students have the chance to interact live with mentors and trainers who have a broad industrial background. 

The institute provides full placement assistance as well as help with resume preparation.

Anyone who is fresher, UG, graduate, post graduate or from any professional background is eligible to apply for the course.

IIM SKILLS give you the convenience of learning from any location in the world. You can chip in and attend the real-time interactive sessions from anywhere, doing away with the need to commute and conserving valuable time and energy. They provide a dynamic and engaging virtual classroom that encourages cooperation and idea-sharing. You can interact with your peers and mentors and gain important insights that will aid you in your career as an investment banker.

IIM SKILLS provides a free demo session so that potential students can get a feel for the course format, the mentor’s teaching approach, and the session velocity. When you feel comfortable with the demo session, you can enroll yourself in this excellent data analytics education program.

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Dataquest: 

Dataquest is a data science bootcamp that offers free introduction courses, skill routes courses, and career path courses, the latter of which may be finished in around 45 weeks. Instead, then using video lectures to teach, Dataquest uses hard exercises and real-world projects to help students develop the skills they need to advance their careers. Experts in the industry serve as the instructors, and Dataquest collaborates with leading institutions and educators worldwide to create their courses.

To teach students how to think and solve problems like a data scientist, Dataquest uses interactive, hands-on coding challenges and projects. 

From day one, students construct comprehensive projects using real data. A project portfolio that showcases the students’ data talents will be developed. Courses on skill routes, career paths, and free beginning courses are all included. In order to help students effectively gain the skills they need to grow their career; Dataquest teaches through tough activities and real-world projects rather than through video lectures. Experts in the industry serve as the instructors, and Dataquest partners with premier institutions and educators worldwide to create their courses. Dataquest gives students everything they require to launch a new career in the career path courses, including obtaining a route certification by finishing a capstone project. Students in the skill pathways courses can easily add in-demand talents to their resumes while gaining confidence by completing activities and projects that are applicable to the real world.

IIM Skills vs Dataquest Data Analytics Course

Dataquest is a different source of data-specific courses that offers a huge array of practical data science courses. Despite having a monthly subscription basis, Dataquest offers part of its information, including practice problems, for free.

Courses are helpfully organized by job and skill path (as well as by programming language), allowing you to focus your instruction. However, if you want a completion certificate or ad-free access, you’ll have to pay a monthly fee.

They list courses in topics including Python for data science, introduction to SQL, databases, and R data structures. There ought to be enough to get you going.

Comparison:

Dataquest is a self-paced data analytics program that runs on monthly/yearly subscriptions entirely in online platform. Contrarily IIM Skills also is self-paced data analytics program but it has a charge of INR 49900 excluding taxes.

Dataquest offers multiple career tracks which include portfolio projects and a focus on either R or Python. IIM Skills also offers multiple courses including Data analytics with R and Data analytics with Python and many more.

Their new career paths get you job-ready in 3-9 months and grants you a certificate. On the contrary, IIM Skills offers all of its courses a 100% guaranteed interview with placement assistance.

Comparison of Syllabus: IIM Skills vs Dataquest Data Analytics Course

Comparison of Tools: IIM SKILLS vs Dataquest Data Analytics Course

 Comparison of Fee Structure: IIM Skills vs Dataquest Data analytics Course:

Comparison of the Course Modules of IIM Skills vs Dataquest Data Analytics Course:

Comparison of the Learning Goals: IIM Skills vs Dataquest Data Analytics Courses:

IIM SKILLS offers an extensive yet thorough curriculum that is both current and pertinent. The curriculum is regularly updated to reflect the most recent developments in the subjects. The high-quality curriculum offered by IIM SKILLS includes all the necessary elements for career advancement. Paid internships that give you a sense of how things function in the real world serve as a way to put your knowledge to the test. You’re motivated by the internships to go above and above and be your best selves.

The rigorous IIM SKILLS course curriculum includes case studies, practical assignments, special modules, and a wealth of learning materials to facilitate learning. The offered slides, presentations, and notes make it easier to retain material and allow one to enjoy studying rather than memorizing everything mechanically.

With more than 35000 graduates, IIM SKILLS is a reputable Ed-tech educational institution that provides adequate student support, including problem-solving, academic counseling, soft skills training, resume preparation, placement assurances, internships, and other varied career progression services. Even though the course has long since concluded, IIM SKILLS is known for providing exceptional support to its students. The after-course support is one of the distinguishing features that makes IIM SKILLS stand out as one of the most reliable schools. 

A crucial component of the institute that is available to students for free and for the rest of their lives is the Learning Management System. Once you sign up for the course, you have access to their e-portal. The previous batches’ video recordings are available here, together with study materials, instructions, and schedules for the upcoming classes.

You can post questions and concerns to the support desk any time of day or night. All inquiries are answered 48 hours after they are posted. IIM SKILLS offers practical, technology-driven courses for students to become tech-savvy and confident in handling complex business decisions. It also provides soft skills training, resume preparation, and mock interview sessions, ensuring students build a strong foundation for their careers.

Dataquest is an online learning environment focused on projects that provides useful tasks. Students have access to more than 70 courses, 5 skill tracks, and 6 career options.

The career paths emphasize on real-world projects, such as data analysis with Python. Depending on your choice, a career path can be completed in eight months at five hours each week. It is a self-paced program with 17 projects and 27 courses that is suitable for beginners.

For instance, the career path for business analysts has 15 courses, one of which covers SQL data extraction. At a pace of five hours per week, it takes students four months to complete eight projects.

The career track for data scientists involves ten months of study time at a rate of five hours per week and consists of 38 courses. In addition to installing Git and integrating GitHub, students will complete 26 projects.

Learners can join to access free initial lessons. An annual subscription of $399 or a monthly cost of $49 is required to upgrade to Dataquest’s premium membership.

So, Dataquest is one of the most well-liked platforms for learning interactive data science. Their instructional approach and project-based learning style are quite effective even though they don’t have videos for every topic.

This concludes the comparison of the two leading providers of data analytics courses. I hope the preceding comparison of IIM Skills vs. Dataquest Data Analytics Courses will be sufficient for you to make an informed decision regarding the best institution to attend in order to develop your career through the study of data analytics.

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Frequently Asked Questions Regarding IIM Skills Vs Dataquest Data Analytics Course:

Q1. When searching for a job in data analytics, which is more important: experience or course certification?

Impressing hiring supervisors with relevant experience is a terrific way to stand out, yet gaining experience typically happens after receiving a degree. You must first enhance your skills with analytics tools if you want to contribute to an open-source project or get an internship so that you can add experience to your resume. Courses are a wonderful method to do this.

Q2. Do I Need a Data Analytics Course to Get a Job?

A data analytics course is a terrific method to receive a formal education in data analytics and show off your abilities on your data analyst CV, but it’s not the only approach to launch your data analyst career. If you’ve developed the abilities required to secure an entry-level position, you can demonstrate them by building a portfolio and acquiring experience in the field.

Q3. How do I begin using data analytics?

In order to understand the quantity and quality of the data you hold, where it is housed, and what significant business questions you would like answered, we have found that a data discovery workshop works effectively as a starting point.

Collaborate with a data partner.

Among the outsourced analytics projects that Objective’s team of data scientists works on include consulting, proof-of-concept work, the creation of visualisations, and Power BI Dashboards. We can also supplement the technical staff you already have in-house with new skill sets.

Conclusion on IIM SKILLS vs Dataquest Data Analytics Course:

Ultimately, the decision between IIM SKILLS vs Dataquest comes down to what career you’re pursuing. Both offer the best of their facilities to an extent.

Compared to Dataquest, IIM Skills offers a lot more alternatives. As a result, Dataquest may offer you a career path that suits you better.

Both sites also provide simple payment options. IIM Skills, on the other hand, demands a one-time payment up front, whereas Dataquest provides monthly, annual, and lifetime alternatives. 

Adding data analysis to your skill set can only be a good thing, no matter what career route you’re on. Data analytics is quickly becoming an essential job talent as the labor market changes to meet the demands of the twenty-first century. Stay ahead of the game!

Wish you all the best for your future.

IIM SKILLS vs. SRM University Data Analytics Course Review

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

Are you aspiring to a career in data analytics? Read the article below- IIM SKILLS vs. SRM University Data Analytics Course to know in detail about your desired career option in the technical industry. You will get a detailed understanding of the course in Data Analytics, syllabus, eligibility for enrolment, job profiles, and introduction to two reputed educational institutions.

Data analytics is a series of mechanisms to handle data sets with the aid of various software or specialized systems to derive conclusions from them. Data analytics is now one of the most important aspects of commercial industries. Based on scientific data and research, data analytics enables firms to make better-educated business decisions.

Data analytics can help a firm enhance its operational efficiency and customer service, obtain a competitive advantage, and generate revenue tools. Data Analytics tools process and generate results from historical or real-time data.

Two data analytics approaches are exploratory data analysis (EDA) and confirmatory data analysis (CDA). EDA seeks patterns and relationships in data, whereas CDA investigates the veracity of hypotheses about data collection.

Data analysis can be classified as quantitative data analysis, qualitative data analysis, data mining, predictive analytics, and machine learning.

After completing a data analytics degree, candidates can apply for professions such as data engineer, data scientist, data architect, database administrator, and data analyst, with beginning salaries of Rs 4-5 per lakh annum or more.

The Advantages of Enrolling in A Data Analytics Course 

Data has the potential to provide significant value to enterprises, but the analytics component is required to unlock that power. As the importance of data analytics in the business world grows, so does the need for organizations to understand how to use it.

Simplifying Operations 

Data analytics can assist organizations in improving operational efficiency. Data collection and analysis of the supply chain might show manufacturing delays or bottlenecks and help identify potential future problems. If a demand forecast suggests that a specific vendor will be unable to handle the volume needed for the Christmas season, a company may supplement or replace this source to avoid production delays. Furthermore, many businesses, particularly those in the retail industry, struggle to optimize inventory levels. Data analytics can help determine the optimal supply for all of an enterprise’s services based on factors such as seasonality, vacations, and secular tendencies.  

Better Decision-making Based on Information

Companies work curiously for better reasoning based on information and these are dependent on accurate forecasts.  Data is a combined decision of artificial intelligence, machines, and mining study. Predictive analytics can forecast what reaction happens to changes in the business and recommend how the organization should respond to dynamic changes. Furthermore, organizations can utilize data analytics tools to measure the success of changes and visualize the results, It allows in crucial decision-making and implementing the possible changes across the organization.

Satisfy the Customer Experience

Customer satisfaction is part of the business. Businesses can forecast their marketing pattern after data collection through a variety of digital methods. It includes physical retail, e-commerce, and social networking. By using data analytics to construct entire customer profiles from this information, businesses may get insights into consumer behavior and provide a more personalized experience. Consider a retail clothes store that has a physical locatDesign well as an online presence. The corporation might analyze its sales data with data from its social media pages, and then create targeted social media campaigns to increase e-commerce purchases for product categories in which customers are already interested. Organizations can improve the customer experience even further by running behavioral analytics models on customer data.  

 Stronger and Effective Marketing

What distinguishes firms is the distinct method they take to market their products. Companies can use data analytics to ascertain customers need. Data allows organizations to do in-depth research in market trends for targeted marketing. 

Reduce Risk and Deal With Setbacks

There are risks everywhere in business. Among them are customer or employee theft, uncollected receivables, worker safety, and legal liability. Data analytics can assist a company in evaluating risks and taking preventative steps. A retail chain, for example, may use a propensity model, which is a statistical tool for forecasting future behaviors or occurrences, to determine which stores are most prone to theft. The firm may then use this information to assess the level of protection required at the stores, as well as if it should divest from any locations.  

Increase Security

Data security concerns affect all businesses. The IT department, for example, can use data analytics programs to parse, process, and visualize audit logs to determine the path and origins of an incident.  Furthermore, IT departments can use statistical models to prevent future attacks. Attacks usually involve anomalous access behavior, particularly in load-based attacks such as a distributed denial-of-service (DDoS) attack. Organizations can set these models to run indefinitely, with monitoring and notification systems built on top to detect and report anomalies so that security professionals can respond quickly.

Qualifications for Data Analytics

Qualifications are an important component of laying a firm basis for any career. The more qualified a candidate is, the more likely they are to be employed by top organizations and receive a competitive salary. To become a Data Analyst, candidates can pursue undergraduate or postgraduate degrees in fields such as Economics, Statistics, Data Science, and Computer Science.

However, students from any educational background can enroll themselves in data analytics diploma or certification courses. A Bachelor’s degree with at least 50% marks in aggregate or equivalent, preferably in Science or Computer Science, is required for admission to any Data Analytics course.

Data Analytics Skill Set Requirements

A good data analytics practitioner must have strong analytical and numerical skills. Aside from that, a complete understanding of computer software(s) such as Querying Language (SQL, Hive, Pig), programming Language ( Matlab, Python, etc.), Statistical Language (R, SAS, SPSS), and Excel is required. Data analytics experts must also have strong interpretive approaches and problem-solving abilities to explain the data analysis reasoning, process and its results.

Job Description and Profiles for Data Analyst

A Data Analyst is a professional who gathers and analyzes data across the organization to make educated judgments or to assist other team members and leadership in making sound decisions. Responsibilities include:

• Data analysts are responsible for interpreting data and analyzing outcomes using statistical techniques.
• Creating and putting into action data analysis, data collection systems, and other initiatives to improve statistical efficiency and quality.
• Obtaining information from primary or secondary sources and keeping databases

Category or Specific Industry in Data Analytics Jobs-

Analysts can obtain jobs in a variety of fields, including:

• Medical and health care
• Market research
• Business

• Market reasoning
• Operations research

Responsibilities

• Create records management policies and procedures
• Discover areas for process improvement and automation
• Development and oversight of automated data processes
• Locate, evaluate, and apply external data validation and cleansing services and technologies
• Create and monitor key performance indicators
• Create and support reporting procedures
• Inspect and audit data quality
• Communicate with internal and external clients to completely comprehend data content
• Using suitable tools and procedures, collect, comprehend, and document precise business requirements.
• Survey design and execution, as well as survey data analysis
• Manipulate, analyze, and comprehend complex data sets related to the employer’s company use of business analytics reporting technologies to generate reports for internal and external
• Design data dashboards, graphs, and visualizations
• Mine and analyze massive datasets, derive valid inferences, and successfully communicate them to management using a reporting tool.

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IIM SKILLS vs. SRM University Data Analytics Course 

IIM SKILLS – details

IIM SKILLS is a well-known and one of the highest result-oriented online educational platforms. It offers 6 monthly data analytics course in online study mode under the supervision of well-qualified teachers (working or retired industry experts) with lifetime study access to study content.

Other Professional Courses from IIM SKILLS

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

Modules

Excel in detail: Basics and Advanced

•  Introduction to Excel setup, Setting up, and Conditional Formatting
•  Data Sorting, Understand, and Validation
•  Understalinesg Name Ranges
•  Chart layout
•  Creating and personalizing advanced charts – thermometer charts, waterfall charts, population pyramids
• Data analysis with pivot tables – usage of row and column shelves, values, and filters
•  Differences between data layering and cross-tabulation, summary reports, benefits and drawbacks
•  Change the aggregation kinds and summarization.
•  Making groups and bins in pivot data
•  Calculated field concepts, applications, and restrictions
•  Changing report layouts – outline, condensed, and tabular forms
•  Creating summary reports 

The Operating Pattern and Components of a Visual Basic Application

• Visual Basic Application Components and Workflow
•  What is Logic in VBA?
•  Exposure to Macro Recordings, IDE
• Fundamental of VBA Language Elements
•  Phrases and syntax, Programming assertions, Variables and Data types
•  Working with Range Objects
•  Programming & Control Structures, 
• The looping process, Structures, 
• Spreadsheet & The workbook Functions, Automatic Procedures, and Event
•  Key Components and Memory Arrangement and Management in VBA
• Communicating with Your Users- Basic Dialog Boxes and User Forms
•  Using User Controls and extensions
•  Accessing Macros via the User Interface
•  Using VBA, retrieve information from an Access database in Excel.

SQL

• SQL – A Quick Introduction
•  Installation of MS SQL Server 
•  Introduction to Server Management (SQL)
•  Comprehend basic database concepts
•  Getting knowledge of Insertion, Updation, and deleted statements
•  Introduction of statement option– Subsetting, Sorting, Removing Duplicates, grouping and aggregations, etc
•  SQL Functions (Number, Text, Date, etc)
•  SQL Keywords Introduction
•  SQL Operators – Relational
•  Basics comprehension of SSIS
•  Through learning of Packages
•  Parameters and Visualisation
•  SSRS Visualisation 

Power BI

• Power BI Introduction and Power BI Installation
• When working on a project, introduce several options in the Power BI Desktop Task pipeline.
• Connect to and retrieve data from many sources (CSV, Excel, and so on).
• Data cleansing with Power Query
• Text, Date, and Numeric Power Query Functions
• Conditional Columns in Power Query
• Query Editor can be used to clean and manipulate data.
• Define the granularity of your data.
• Data Combination – Merging and Appending
• Fill Down, Grouping, Transpose, Unpivot, Data Types, Replace Errors and Values in Power BI
• DAX Calculated Tables, Columns, and Measures Overview
• DAX Time Intelligence
• DAX functions that are frequently used in real-time (Calendar functions, Filter functions, Information functions, Text functions, Logical functions, Math functions, Parent and child functions, and so on).
• Power BI Reports Evolution
• Working with a Variety of Visuals/Charts
• Formatting Options in Reports
• Filter visualizations with a slicer.
• Working with Filters 
• Download and use Custom Visuals from the Gallery.
• Include an R or Python visualization.
• Work with key performance indicators

Python

• • Statistics Basics
  •  Central tendencies measurements
  •  Variance measures
  •  Frequency measurements
  • Matrices Operations
  •  Calculus Fundamentals
  •  Integration and Derivatives
  •  Maxima and minima
  •  The area behind the curvature
  •  Optimization theory
  •  Python pre-installed Text, numeric, date, and utility functions
  •  Lambda functions are user-defined functions.
  •  The concept of applying functions

•  Python Objects

NumPy (Numerical Python) Processing

• NumPy functions and methods overview
•  NumPy data structures
•  Array creation and initialization
•  Arrays reading from files.
•  Functions for special initialization
•  Indexing and slicing
•  Array reshaping
•  NumPy Mathematics

Data operations in Pandas (Series and Data structures)

• What is Pandas, and what are its purposes and methods?
•  Data Structures in Pandas (Series and Data Frames)
•  Designing Data Structures

Tableau Product, Measurement, and Dimensions

• Architecture by Tableau
• Connecting to Data and an Overview of Data Source Concepts
• Understanding the Dimensions and Measures of the Tableau Workspace
• Default Data Types and Properties
• Shelves and Signs Tour Card with Show Me
• Save and distribute your work overview
• Describe the scope and direction.
• Running / Cumulative calculations, % of Total
• LOD (Level of Detail) Expressions: An Overview
• Table calculation user applications
• Date Parts and Aggregations
• Tabular and cross-tab charts
• Subtotals and totals
• Stacked Bars and Bar Charts
• Forecasting, Scatter Plots, Edit Axis, Reference Lines, Filters, Context Filter
• Individual axes, blended axes, dual axes, and combination charts are all available.
• Working with aggregate data as opposed to disaggregate data

R for Data Science is introduced, and data can be exported in a variety of formats.

• Introduction R Package Concept – Useful Packages (Base and Other Packages)
•  Data Types and Structures (Vectors, Matrices, Factors, Data Frames, and Lists)
•  R Built-in Features
•  Text, number, date, and utility
•  R Functions Defined by the User
•  Aggregation/Summarization
•  Data Import from Various Sources
•  Data Exporting to Various Formats
•  Viewing Data (Viewing Partial and Complete Data)
•  Date Values – Variable & Value Labels
• Adding New Variables (Calculations and Binning)
•  Creating a dummy variable Using transforms
•  Handling duplicates and missing items
•  Filtering and Sorting
•  Submenu (Rows/Columns)
•  Appending (adding a row or column)
•  Merging/Joining (Left, Right, Inner, Full, Outside)
•  Type conversions of data
•  Formatting and renaming

The Data Analysis course at IIM Skills establishes abilities with the help of a detailed curriculum in its students to build industry-relevant professionals which allows them to find lucrative job opportunities in the market.

Course Fee:  INR 49900 (inclusive Taxes)

Placement: 100% Job & Interview Support.

Study material access: Lifetime access to study materials (all live and recorded Sessions)

Tools Access:  Lifetime access to all the tools

Faculty support: Faculty support in doubt clearing and other guidance

Refund policy: Money back guarantee if not satisfied with teaching pattern.

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• IBM Data Analytics Course

SRM University Chennai

SRM Institute of Science and Technology is one of the top-rated universities in India, with over 52,000 full-time students and more than 3200 staff across all campuses. The University positions itself as a leading academic institution with global influence and is committed to being a leading player in the academic world through excellence in teaching and research while valuing academic freedom and adhering to the highest academic integrity standards.

SRM offers data analytics course in the certification category. 

Curriculum

• Introduction to Big Data
• Data Analysis using R
• Machine Learning
• Python for Data Science
• Hadoop and Map Reduce

Program Name – Big Data Analytics

Course Duration: 6 Months

Fee:  1,00,000/-

Apart from certification, SRM offers a BCA in data science. It is a three-year undergraduate degree in data science, machine learning, and artificial intelligence. The program gives students a solid foundation in computer science, statistics, and mathematics while also teaching them how to use these principles to address real-world problems using data-driven techniques. Graduates of the program can go on to study data science, machine learning, artificial intelligence, or other related subjects, or they can work in industries such as finance, healthcare, marketing, and technology. Other job options include research and development, project management, and teaching.

Eligibility

• A pass in 10 + 2 (Higher Secondary) with one of the core topics being Mathematics/Business Mathematics/Statistics/Allied Mathematics.

(OR)

• A diploma in engineering (10+3 / 10+2+2 Pattern) from a government/competent authority recognized. (Aggregate Minimum of 50%) MCA and MSc ADS degrees.

Annual Fees: 95,000/-

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Conclusion of This Read- IIM SKILLS vs. SRM University Data Analytics Course

Analytics specialists in the field require knowledge of much more than just how to deal with data and solve problems.  Communication abilities are essential for any career because analytics experts play key responsible to an organization’s decision-making. Such processes can frequently develop strong leadership qualities as well. 

Finally, there is little doubt that analytics will play a significant role in enterprise in the future learning analytics in all aspects of life.

FAQs on IIM SKILLS vs. SRM University Data Analytics Course

Question 1) What kind of job posts are available in the data analytics field?

Answer: Data analytics various job posts, some of them are the following:

• Operations analyst
• System analyst
• Senior business analyst
• Associate analyst
• Business intelligence analyst
• Analytics data architect
• Marketing analyst and strategist
• Technology Information analyst

Question 2) What is a dashboard in data analytics?

Answer: A data analytics dashboard is a tool for multitasking, organizing, visualizing, analyzing, and tracking data. A data analytics dashboard’s ultimate goal is to make it easier for data analysts, decision-makers, and ordinary users to understand their data, get deeper insights, and make better data-driven decisions. 

Data analytics dashboards are classified into three types: operational, strategic, and analytical:

• Operations: Operational analytics dashboards are associated with the progress of work and the present status of operations. Operational dashboards are frequently used to understand where issues exist and resolve the issue to go further into data.
• Strategy: Strategic analytics dashboards display key performance information and data visualizations. The demonstrating straightforward trends monitors and comprehend decisions based on key performance pieces of information.
• Data dashboards are intended to integrate and extract critical information from a wide range of data sources, services, and APIs. Visuals like charts, maps, figures, scatter diagrams, bar charts, and tables are used to compile all information in a cohesive manner. A company deals with different programmable dashboards for each section and each project. It allows a more granular monitoring system of extremely specific KPIs.
• Analytical: Analytical dashboards place a premium on flexibility, allowing users to investigate data points in as many different ways as possible, using filters and comparisons to uncover hidden insights. Drill-downs, prediction models, and what-if parameters are all common aspects.

Question 3) What are some serious classifications of data analytics?

Answer: Data analytics is divided into four fundamental sorts or groups. While their focus and goals may differ, they are all steps toward analytical maturity, which is a measure of an organization’s capacity to extract value from relevant data. The four types are as follows:

Descriptive analytics

Descriptive analytics is concerned with describing historical data, whereas diagnostic analytics is concerned with determining the reason for a specific outcome or event in the past. It uses data to find trends that can help a business understand its product development process.

Predictive analytics

Predictive analytics employs data to forecast future outcomes or events to assist businesses in meeting their objectives. To accomplish this, data analysts frequently construct optimal simulation models to assist them in making accurate forecasts.

Diagnostic analytics

Diagnostic analytics is concerned with determining the reason for a specific outcome or event in the past. It employs data to detect trends that can help a firm learn about its most recent buyers and select and optimize its sales strategy.

Prescriptive analytics

The most advanced sort of data analytics is prescriptive analytics. It is comparable to predictive analytics in that it provides enterprises with valuable insight. It differs in that it focuses on advising the optimal course of action or solution based on predictive analytics. Prescriptive analytics frequently necessitates the use of machine learning algorithms and other sophisticated techniques. This means that in many circumstances, only firms with significant resources and an advanced analytics methodology can perform it.

IIM SKILLS vs SkillShare Data Analytics Course- A Full Review

by Sana Aijaz | Jul 2, 2025 | Courses, Data Analytics, Institute Review

Curious to know about data? If you want to learn data analytics completely and correctly, we encourage you to read this article. A key decision in determining your career in the constantly increasing subject of data analytics may be selecting the appropriate institute. The perfect institute provides thorough data analytics training as well as reliable placement opportunities to launch your career in the industry. In this article, IIM SKILLS vs. Skillshare Data Analytics Course, we compare two of the top providers of data analytics education. Both organizations are famous for their professionalism in the field and commitment to supporting placements.

Let’s dive into the features that set them apart from the competition.

There are several opportunities for both newcomers and experienced professionals to succeed in the expanding field of data analytics. Businesses are now able to produce and keep more data than ever before, and with unparalleled accuracy, thanks to the rapid advancement of technology. Naturally, this has increased demand for data analysts. Therefore, earning a certificate in data analytics is an excellent method to kick start your career in this field. So, if you are looking for the best data analyst training and placement program, then let me tell you that it is offered by two most renowned institutes that is IIM Skills and Skill share with great features.

Data Analytic courses are provided by universities, colleges, and specialized training institutes along with several academic institutions. They are available at many levels, including undergraduate, postgraduate, and professional certificates, making them suitable for people with different educational backgrounds and professional aspirations.

Analytics of Data and Its Importance:

The introduction of data analytics has revolutionized and metamorphosed the way we look and use data due to which it is termed as a game-changer.

 It enables organizations and decision-makers to convert data into insightful knowledge by bringing to light the hidden opportunities within massive databases. Incorporating ethics and creativity as we move forward on this data-driven route will help us design a future in which data analytics continues to have an impact on and improve the world around us.

In today’s world, use of data analytics has had a significant impact on how choices are made and problems are solved across all industries. Businesses can obtain a competitive advantage by predicting consumer preferences, market trends, and upcoming threats by combining historical and present data. Data-driven insights could assist firms in increasing their total efficiency and profitability in addition to improving customer happiness, streamlining processes, and resource allocation.

Big data and analytics are utilized in the professional employment market to understand consumers and operations. This type of tendency is expanding on a daily basis in the job market for professionals. Online courses of all levels, from beginner to expert, are readily available and offer the potential to develop one’s knowledge and career. While some courses focus on a variety of subjects, others have a more narrow focus. The beginning levels of different courses vary. Choosing the best path for you is essential when beginning a career in data analytics.

We’ll compare IIM Skills vs Skillshare Data Analytics Course to examine how the two institutes compare and how each will help students launch a career in data analytics.

An Example of a Data Analytics Application in Real Life:

Let us take the example of Netflix. A very highly realistic example of data analytics is the personalized viewing recommendations provided by Netflix. What do you think? What impact does this feature have on Netflix’s potential for commercial success, and how does Netflix reach to such kind of suggestions?

As you might have anticipated, it all begins with data collection. Netflix collects a range of data from its 163 million global subscribers, including what viewers watch and when, what devices they use, whether they pause and resume a show, how they rate certain content, and precisely what users search for when looking for new content to watch.

Netflix by using data analytics connect all these various data sources and create a comprehensive viewing profile for each subscriber. Based on important indications and trends within each user’s viewing pattern, the system for recommendations offers personalized (and brilliantly accurate) choices for what the user might want to watch next.

This kind of tailored service has a significant impact on the user experience; according to Netflix, personalized recommendations account for over 75% of viewing engagement. You can determine that Netflix continuously controls the global streaming business by looking at their revenue and usage figures, which continue to rise year after year. This efficient use of data analytics is also significantly added to the growth of the organization.

Benefits of Taking a Data Analytics Course in Today’s Time: 

Studying data analytics can offer many advantages and lead to intriguing prospects in the data-driven world of today. There are several advantages to taking a data analytics course nowadays, some of which are stated below:

• Gaining skills in data analytics allows you the opportunity to collaborate with a range of teams and businesses, look into international job opportunities, and get a global perspective.
• Data analytics enhances problem-solving abilities that are beneficial in both the personal and professional spheres by evaluating complex data sets, discovering essential information, and coming up with logical solutions.
• Since data analytics can facilitate data gathering, processing, and interpretation, it is pertinent for a variety of professions. It provides a flexible skill set suitable for all sectors.
• Data analytics professionals usually earn high salaries as a result of their specialized knowledge and the imbalance between supply and demand in the sector.
• The increased need for data analytics experts across industries fosters a thriving labor market and alluring employment prospects.
• Data analytics helps evidence-based decision-making by making it easier to spot trends, patterns, and effective techniques. This increases the effectiveness of decision-making above intuition or guesswork. 
• Enrolling in a data analytics course will allow you to keep up with the most recent advancements and trends in the rapidly expanding field of data analytics while also continuing your education and development. 

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IIM SKILLS vs SkillShare Data Analytics Course –  A Comparative Analysis:

IIM SKILLS:

IIM SKILLS is a well-known, eminent institution in the field of educational technology. Since 2015, the institute has offered professional upskilling courses with the aim of offering high-quality education at a fair price. IIM SKILLS, a New Delhi-based company, offers online instruction to the general public.

With IIM SKILLS, you can learn from any location in the world with ease. You can participate and attend the interactive live sessions from anywhere, doing away with the need to commute and conserving valuable time and energy. They provide a dynamic, interactive virtual classroom that encourages cooperation and idea-sharing. You can interact with your peers and mentors and gain insightful knowledge.

One of the very focused professional courses offered by IIM SKILLS is the Data Analytics Course. A thorough grasp of data and how it may support firms in thriving in this highly volatile marketplace is given to you through the course’s demanding curriculum.

SkillShare:

Skillshare is an online learning platform that offers a variety of courses so people may pick up new skills or hone their current ones. To make learning interesting and engaging, it provides interactive video classes, projects, and community involvement.

With its headquarters in New York City, Skillshare was established in 2010. With millions of users and thousands of lessons, it has expanded through time to become one of the biggest online learning platforms. The online education firm Open Classrooms purchased Skillshare in 2019. Since then, Skillshare has continued to increase the number of services it offers and the size of its instructor and learner communities.

Skillshare provides training in a variety of fields, including design, business, technology, creative writing, photography, data analytics and many others. Web programming, photography, illustration, graphic design, and creative writing are a few of the courses that are very popular. The portal additionally provides courses designed especially for freelancers and business owners, as well as courses meant to boost people’s professions. Regardless of skill level or experience, there is something for everyone in the courses because they range in duration and level of difficulty.

The commitment of IIM Skills to a larger, more uniform collection of courses is the main distinction between it and Skillshare. Both platforms have different standards for instructors, with IIM Skills requiring subject-matter experts while Skillshare allows anyone to teach courses.

I’ll give an overview of each platform, its price, the kinds of courses it offers, its advantages and disadvantages, and more below.

IIM SKILLS vs SkillShare Data Analytics Course : A Brief Overview 

IIM Skills and Skillshare are both popular online education training websites.

The e-learning opportunities available on each site are, however, extremely diverse. This overview is meant to assist you, the student, in making the choice between which option is preferable for achieving your personal and professional objectives because it may be customized to your particular intended result or gain.

Skillshare:

On Skillshare, there are more than 35,000 courses focusing on creative talents that may be uploaded and taught by anyone, regardless of background in education or the workforce.

They provide courses that range in length from ten minutes to many hours and are delivered in video format. It can be said that that Skillshare provides courses in bite-size or chunks. The fact that Skillshare is an ad-free platform is an added plus for uninterrupted study.

Users of Skillshare have the option to download lessons to their tablet or mobile device for offline learning.

IIM SKILLS:

About IIM Skills, it is a top Ed-tech institute, offering support to over 35000 students, including academic counseling, soft skills training, resume preparation, placement assurances, internships, and career enhancement services.

The IIM SKILLS course curriculum is rigorous, featuring modules, practical assignments, case studies, and learning resources to enhance retention and enjoyment of learning.

IIM Skills provides accessible education, offers payment options, refunds for unsatisfied students, and clear information about the institute, courses, and accreditation, assisting with course selection and accreditation clarity.

They offer live training courses ranging in length from a few hours to many months, along with practical assignments, case studies, real-world projects, and guaranteed placements.

IIM SKILLS Course Modules:

The Data Analytics Course has a 6-month complete training period and a 2-month, optional, unpaid internship.

IIM SKILLS offers a comprehensive course, focusing on real-world trends and market relevance, preparing students for employment in this complex field. The course covers all topics in-depth pertaining to data analytics. You gain proficiency in many different areas, such as clustering, DBScan, NumPy, and Python libraries.

Additionally, you gain experience using visualization tools and gain skill with interactive dashboards. Heat maps, Pareto diagrams, waterfall plots, and tree maps are all covered in the course. The data analytics programme at IIM SKILLS employs an immersive learning approach through live interactive sessions. Case studies, hands-on assignments, and periodic evaluations can all help you determine how well you’re grasping the numerous parts of the data analytics process.

These Are the Specific Course Materials for the Data Analytics Program: 

• 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 Advance Excel (9 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)

Skills Acquired After Completing Data Analytics Course From IIM SKILLS:

• Have a basic understanding of statistical principles such central tendency, correlation, dispersion, and regression – Excel at SQL concepts like SQL command, query universal tool.
• Be familiar with the nuances of Python’s lists, sets, contributions, branching, dictionaries, objects, and classes.
• Learn how to develop Python programs by being familiar with concepts such as variables, conditions, loops, and functions.
• Practice dealing with, loading, and saving data with Pandas as well as reading and writing files in Python.
• Use NumPy’s multi-dimensional arrays, Pandas’ Data Frame management features, and Scikit-Learn’s machine learning implementation to develop a basic understanding of data interpretation in Python.
• Using Python libraries, comprehend the performance of data analytics.
• Possess a solid understanding of classification techniques, linear and non-linear regression models, and both for the Data Analysis work process.
• Gain skill in clustering methods including K-means, DBSCAN, and hierarchical clustering.
• Master the use of Excel for business analytics.
• Gain insight into the Tableau model and statistics, and discover how to create interactive dashboards.
• Become familiar with Microsoft’s analytics and visualization tools (Power BI).
• Become knowledgeable about visualization techniques, including a heat map, tree map, waterfall, Pareto, and market basket analysis.

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Course Modules of SkillShare:

Learning on Skillshare is restricted to only creative subjects, and the content is not standardized. Since anybody can become an instructor on Skillshare, course quality is frequently erratic and less dependable. You won’t always be able to access fixed-duration courses on the Skillshare platform. There is a wide range in the caliber of the lessons and information on Skillshare because it allows any user to become an instructor.

So, a Quick Navigation Over Skill Share Courses:

Skillshare However, Provides Innumerable Data Analytics Courses Ranging From a Few Minutes to Hours. Below is a List of Some of Them:

• The Art of Data: Analytics in Everyday life (46 minutes)
• Data Analytics Habits: Practical Best Practice Tips (57 minutes)
• Advanced Google Analytics Course (3 hrs. 48 mins)
• Data Visualisation: From Data to Insights (1 hr. 58 mins)
• 30 days of Python: Coding for Beginners (5 hrs. 10 mins)
• 7 Super Excel Formulas: Excel at Microsoft Excel (37 mins)
• Alteryx Essentials (2 hrs.25 mins)
• Machine learning: K-means clustering (1 hr. 22 mins)
• Beautify Your Data: Intro to Data Visualisation using Tableau (1 hr.12 mins)
• From Zero to R Hero 1: Introduction to R programming (3 hrs.2 mins)

Skills Acquired After Completing Skill share Data Analytics Course:

• Enable participants to design, calculate, and create visually appealing dashboards, thereby enhancing decision-making efficiency.
• Acquire the skills necessary to use data to your advantage on a daily basis so you may achieve your objectives.
• Assist you in developing and implementing strong analytical work habits.
• Focus on data-driven marketing and decision-making
• Gain expertise in data visualization principles, best practices, and techniques to create engaging and high-quality visualizations that improve understanding and communication of data-driven insights.
• The learner will acquire the necessary tools to create intelligent and automated workflows suitable for the workplace, supported by three artifacts. 
• Provides guidance on seven exceptional Microsoft Excel Formulas that can enhance efficiency and productivity in the workplace making more competent.
• Learn to construct the k-means clustering algorithm, a crucial tool for data mining and big data analysis, which automatically identifies patterns without labels.
• Provide participants with a comprehensive understanding of R programming, enabling statistical analysis and visually appealing results.
• Gain hands-on experience in transforming your data into visually appealing and insightful dashboards.

IIM SKILLS vs SkillShareData Analytics Course– Fee Structure:

IIM SKILLS:

Courses Fee – INR 49900 + taxes

Courses Duration – 6 Months

Skill Share:

Skill share is absolutely free for the first month.

However, it is totally possible to sign up for a free month with Skill share, gain access to top-notch online courses, and discontinue your membership before the trial period expires to avoid being charged.

You just have one option left after your one-month trial.

Annual membership costs $168 ($14 per month on average).

One significant distinction between the two institutions is that IIM Skills offers certification following the end of their course, whereas Skillshare does not.

IIM Skills offers lifetime access to the course contents.

Frequently Asked Questions on IIM SKILLS vs SkillShare Data Analytics Course

Q1. How soon should I implement an analytics strategy?

Analytics is a continual activity, not something you do just once or for a certain occasion. Businesses should keep analytics in mind and get ready to use it as a routine business function. Businesses start adopting a variety of strategic and general business decisions once they start to understand the potential of analytics to solve issues.

Q2. What needs to be given priority? SQL, Python, or Power BI?

Learning never stops, especially in data analytics. Due to the rapid changes in the data landscape, professionals will need to learn about modern data stacks as well as the numerous new ideas and fantastic tools that go along with them every day. Data specialists will soon be employing a variety of tools that they would have never heard of when they first started.

Q3. What types of data points are required for analysis, and how can businesses begin collecting them?

The most important resource for any analytics project is data, thus the company should ensure that it understands its consumer and business data in a systematic way. A long-term and short-term data strategy is necessary to collect the right data points in the right format. The objectives and methods for this strategy depend on the business (e.g., learn about customer or product selling strategies, or customer journey, etc ). Developing data collection methods and technological infrastructure that will enable us to store and present these data points in an understandable manner requires a certain level of expertise.

Conclusion on IIM SKILLS vs SkillShare Data Analytics Course

That concludes to IIM SKILLS vs SkillShare Data Analytics Course. You have, in my opinion, been given the best information that can lead you to making a wise decision to enroll in a data analytics school and excel in this profession.

Before enrolling in any organization, it would be a prudent choice to consider the pros and cons, as well as the feedback from alumni and the general public.

I hope the process is enjoyable for you and that this post helps you in your search.

IIM SKILLS vs. IIT Madras Data Analytics Course Review

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

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

Data Analysis

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

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

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

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

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

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

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

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

Methods of Data Interpretation

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

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Method for Interpreting Qualitative Data

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

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

Method for Interpreting Quantitative Data

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

Data Analytics Requirement in Businesses

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

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

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

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

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

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

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Understanding About Data

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

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

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

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

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

Importance and Integrity of Data Evaluation

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

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

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

Thriving Job Market in Data Analytics and Interpretation

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

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

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

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

It is projected to maintain its global market leadership.

Job Categories in Data Analytics

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

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

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

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

Other Forms of Data Analytics Jobs Include:

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

IIM SKILLS vs. IIT Madras Data Analytics Course – Overview

IIM SKILLS

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

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

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

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

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

Course Module

Advanced Excel Knowledge

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

Basic Visual Application

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

Description and incorporation for SQL Server

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

Data Manoeuvring by Using Python

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

Tableau

• Data Brain Storming and Account Writing

Tools Included in Advanced Data Analytics Syllabus

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

Course Fee: ₹ 49,900 + 18% GST.

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

Internship:2 Months Internship

Placement: Support in placements and Interviews

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IIT Madras (IITM Pravartak)

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

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

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

Course Module

Data Transformation (using MS Excel and Python)

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

Data operations with SQL

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

Development of Data Science and Statistics

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

Business Management, Insights, and problem-solving

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

Optimization Techniques

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

Statistics, Data Mining and Machine Learning using R Programming

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

Advance Machine Learning

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

Visualization with the use of Power BI

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

• Power BI setting, and connectivity

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Description of Python and R

Python

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

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

R

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

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

Differences

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