Advanced Certification in Data Analytics by IIT Kanpur

The Advanced Certification in Data Analytics program from IIT Kanpur is a must for anyone looking for a high-growth career in data analytics. It is designed to give graduates in any discipline and experienced professionals from programming as well as non-programming background an extensive data analytics education.

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Accreditations / Approval

IIT Kanpur



6 Months



INR 83,900/- + GST



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Start Date

Every month


Advanced Certification in Data Analytics

This program features the perfect mix of theory, case studies, and extensive hands-on practice. The program is a blend of academic rigour and significant industry exposure equipping you with highly advanced conceptual knowledge and futuristic skill sets unmatched by any other such programs. You get 180 hours of learning via online classes and videos, assignments and projects.

Everything is data-driven these days, from market research and sales figures to expenses and logistics. This program aims to produce well-rounded data analysts with in-depth knowledge and expertise in relevant tools/languages and an understanding of cutting-edge algorithms and applications.

Key highlights

180 Hrs of learning via live online classes or videos, assignments & projects


Receive Advanced Certification from IIT Kanpur (E&ICT Academy) post project completion


Hands-on training with 70% practical content


7 industry projects from different domains


Top-class faculty from IIT Kanpur & industry


Weekend classes by Industry experts

Career prospects
  • Medical and health care analyst
  • Market research analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Operations research analyst
Skills covered
  • Business Analytics, R, Statistics, Regression, Decision Trees, SQL, Tableau, Data Visualization, Python
  • Education: Graduate or pursuing graduation in any field
  • Experience: No programming or statistics background needed.


Introduction to Analytics and Data Science

  • Introduction to Business Analytics

Basics of R, Data Handling and Statistics

  • Fundamentals of R
  • Data Visualization in R
  • Data Preparation and Cleaning using R
  • Understanding the data using univariate statistics in R
  • Hypothesis testing and ANOVA in R to guide decision making

Predictive Analytics in R

  • Correlation and Linear regression
  • Logistic regression
  • Techniques of customer segmentation
  • Time series forecasting techniques
  • Decision trees & Random Forests
  • Boosting Machines
  • Cross Validation & Parameter Tuning
  • Final Case Study

Data Analysis in SQL (via videos only)

  • Introduction to SQL
  • SQL Data Types & Operators
  • Useful Operations in SQL
  • Aggregating Data in SQL
  • Writing Sub-Queries in SQL
  • Common function in SQL
  • Analytic Functions in SQL
  • Writing DML Statements
  • Writing DDL Statements
  • Using Constraints in SQL
  • SQL Joins
  • Views in SQL

Data Visualization in Tableau (via videos only)

  • Introduction to Business Intelligence & Visualization
  • Introduction to Tableau
  • Dive into Tableau
  • Connecting Data Sources
  • Tableau Generated Fields
  • Data Manipulation in Tableau
  • Working with Dates in Tableau
  • Data Customization with Calculations
  • Adding Dynamism to a View with Parameters
  • Geographical Analysis & Maps
  • Creating Visualizations
  • Adding Statistics to Data
  • Formatting & Annotation
  • Dashboards & Stories

Python For Data Analytics (via videos only)

  • Introduction to Python
  • Iterative Operations & Functions in Python
  • Data Summary; Numerical and Visual in Python
  • Data Handling in Python using NumPy & Pandas

Learning Outcome

  • Become a full-stack Data Analyst with core skills in Predictive Analytics and Data Visualization.
  • Deeper understanding of the data analytics techniques to enhance informed decision making.
  • Work on multiple data analytics capstone projects.
  • Comprehensive curriculum covering everything from predictive analytics, data analysis to data visualization.

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