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.

Recommend Read,

• IIM SKILLS vs. Learnbay Data Analytics Course
• IIM SKILLS vs ISB Data Analytics Course
• IIM SKILLS vs Simplilearn Data Analytics Course
• IIM SKILLS vs UpGrad Data Analytics Course
• IIM SKILLS vs Imarticus Data Analytics Course
• IIM SKILLS vs JeeTech Data Analytics Course
• IIM SKILLS vs Goa Institute of Management Data Analytics Course

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.

Recommend Read,

• Data Analytics Course Fee
• Data Analyst Skills
• Scope of Data Analytics In India
• Data Analyst Career 
• Free Data Analytics Courses

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

Also Read,

• MBA In Data Analytics
• Work From Home Data Analytics Jobs
• Data Analytics Courses At Coursera
• Data Analytics Courses by NIIT
• Data Analytics Courses After Graduation
• Data Analytics Courses in edX
• IBM Data Analytics Course

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.

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.

Recommend Read,

• IIM SKILLS vs. Learnbay Data Analytics Course
• IIM SKILLS vs ISB Data Analytics Course
• IIM SKILLS vs Simplilearn Data Analytics Course
• IIM SKILLS vs UpGrad Data Analytics Course
• IIM SKILLS vs Imarticus Data Analytics Course
• IIM SKILLS vs JeeTech Data Analytics Course
• IIM SKILLS vs Goa Institute of Management Data Analytics Course

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.

Also Read,

• MBA In Data Analytics
• Work From Home Data Analytics Jobs
• Data Analytics Courses At Coursera
• Data Analytics Courses by NIIT
• Data Analytics Courses After Graduation
• Data Analytics Courses in edX
• 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/-

Recommend Read,

• Data Analytics Course Fee
• Data Analyst Skills
• Scope of Data Analytics In India
• Data Analyst Career 
• Free Data Analytics Courses

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 IIM Kozhikode Data Analytics Course Review

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

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

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

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

Looking for other best options? Dig in here:

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

What Actually is Data Analysis?

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

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

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

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

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

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

Advantages: –

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

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

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

You should check the courses in other rewarding cities

• Data Analytics Courses in Hyderabad
• Data Analytics Courses in Noida
• Data Analytics Courses in Ahmedabad
• Data Analytics Courses in Agra
• Data Analytics Courses in Chennai
• Data Analytics Courses in Chandigarh

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

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

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

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

Also Check,

• IIM SKILLS vs. Learnbay Data Analytics Course 
• IIM SKILLS vs ISB Data Analytics Course 
• IIM SKILLS vs Simplilearn Data Analytics Course 
• IIM SKILLS vs UpGrad Data Analytics Course 
• IIM SKILLS vs Imarticus Data Analytics Course 
• IIM SKILLS vs Data Trained Data Analytics Course
• IIM SKILLS vs Swayam Data Analytics Course
• IIM SKILLS vs NPTEL Data Analytics Course

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

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

Must Read:

• Data Analytics Courses in India
• Online Data Analytics Courses

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

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

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

Grow fast with these best:

• Data Analytics Courses in Coimbatore
• Data Analytics Courses in Kochi
• Data Analytics Courses in Indore
• Data Analytics Courses in Jaipur
• Data Analytics Courses in Kota
• Data Analytics Courses in Lucknow

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

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

IIM SKILLS

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

Key Features:

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

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

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

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

Topics covered in this course include:

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

Acquire knowledge about the analytics tool Covered:

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

Skills acquired upon completion of the course:

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

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

The Available Course Modules Are:

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

Other Professional Courses from IIM SKILLS

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

Solid Elements of IIM SKILLS Data Analytics Program are:

24/7 Accessibility:

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

Flexible Scheduling:

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

Master Certification:

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

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

Tools:

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

Free Demos: 

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

Exceptional faculty:

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

Complimentary services:

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

Learning Resources:

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

Courseware:

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

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

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

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

Key Highlights:

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

Eligibility:

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

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

What will you learn:

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

Learn about the use of predictive modeling in various fields

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

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

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

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

Who should do this course?

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

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

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

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

Course Modules for this Course are:

Important Points:

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

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

Recommend Read,

• Where is Data Analytics Used
• Data Analytics Jobs
• Work from Home Data Analytics Jobs
• Data Analytics Courses for Commerce Students
• Data Analytics Examples
• Data Analytics for Business
• Data Analyst Qualifications
• Free Data Analytics Courses
• Data Analytics Trends
• Data Analytics Trends
• Data Analytics Trends
• Data Analytics Trends

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

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

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

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

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

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

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

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

Concluding Thoughts on IIM SKILLS vs IIM Kozhikode Data Analytics Course

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

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

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