• Program Duration44 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Jul 24th, 2024

Data Analytics Course Highlights

Refine your industry-specific data analytics and Gen AI skills through live classes led by seasoned experts, masterclasses conducted by IIT Kanpur faculty, and practical hands-on projects.

  • Leverage IIT Kanpur’s Academic Excellence

    Program completion certificate from E&ICT Academy, IIT Kanpur

    Live masterclasses from distinguished IIT Kanpur faculty

  • Gain Industry-Relevant Experience

    Gain live insights from seasoned industry veterans in the field of Data.

    Perfect your skills with 25+ hands-on projects and 3 industry capstone projects

  • Explore Latest Data and Gen AI Advancements

    Exposure to ChatGPT, Claude, Gemini, and other prominent tools

    Earn trophy and badges for ‘Microsoft Azure Data Fundamentals’ on Microsoft Learn



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Program Outcomes

Program CertificateProgram Certificate
  • Program completion certificate from E&ICT Academy, IIT Kanpur
  • Masterclasses delivered by eminent IIT Kanpur faculty
  • Exposure to ChatGPT, Claude, Gemini, and other tools
  • 25+ hands-on projects with capstone in 3 domains

Data Analytics Course Curriculum

  • Get started on your learning journey by exploring the details about the Data Analytics certificate course, the various elements of your Learning Management System, your learning journey, completion requirements and many more.

  • Master business analytics essentials with foundational statistics and techniques—an initial step in our Business Analytics program.

  • Acquire crucial skills to work with SQL databases. Learn fundamental SQL concepts, including statements, conditional queries, commands, joins, subqueries, and diverse functions.

  • Explore ETL essentials crucial for robust data analysis. Learn structured/unstructured data extraction, rule formulation, ETL tool usage, repository loading, batch vs. real-time ETL, real-time processing, parallel optimization, and ETL workflow management.

  • Gain a comprehensive understanding of impactful visualizations, efficient data organization, and informative chart and dashboard design. Master constructing interactive dashboards with filters, parameters, and sets, utilizing various visualization techniques.

  • Delve into Python mastery, covering procedural and object-oriented aspects. Navigate Jupyter installations for hands-on learning. Explore data types, loops, OOP principles, methods, attributes, threading, and Python's diverse benefits and applications.

  • Embark on a comprehensive data journey covering Data Acquisition using APIs, Database Management, Statistics Fundamentals, Probability Distributions, Advanced Statistics, Statistical Analysis, Hypothesis Testing, Correlation, Regression Analysis, Time Series Analysis, and ANOVA/Chi-Square Tests.

  • Explore generative AI models, focusing on ChatGPT. Acquire knowledge of generative AI principles, prompt engineering, explainable AI, conversational AI, ChatGPT, and language models.

  • Uncover generative AI's role in data analytics, including synthetic data generation, visualization enhancement, and insights discovery. Explore its potential for ETL optimization, forecasting, integration challenges, future trends, and ethical considerations.

  • Delving into data ethics, it's vital due to GDPR, CCPA, ensuring data privacy, security, transparency, accountability, mitigating bias, fostering fairness in data and algorithms, guiding ethical decision-making, and upholding ethics in ML/AI development.

  • The final project marks the pinnacle of your comprehensive learning experience, integrating business analytics, data manipulation, visualization, and programming. Utilize Excel, Python, SQL, Tableau, and other tools to tackle real-world data challenges. Demonstrate mastery in ETL processes, visualization methods, and ethical decision-making.

Skills Covered

  • Building Data Pipelines
  • Business Intelligence with Power BI
  • Data Analytics using Python
  • Data Analytics with R
  • Data Mining
  • Data Visualization with Tableau
  • Extract Transform and Load
  • Generative AI
  • Linear and Logistic Regression
  • Prompt Engineering
  • SQL
  • Statistical Analysis using Excel
  • Supervised Learning
  • Unsupervised Learning

Tools Covered

Microsoft Excel

Industry Projects


    Data Analytics Course Fee

    Program Fee $ 2,500

    Pay in Installments

    As low as

    You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Eligibility Criteria

    • A bachelor's degree with an average score of at least 50%
    • Prior work experience is not mandatory
    • Can be from programming or non-programming background

    Best Suited For

    • Software Engineers
    • IT Professionals
    • Product Managers
    • Consultants
    • Recent Graduates

    How to Apply For Data Analytics Training

    • STEP 1Submit Application

      Tell us a bit about yourself and why you want to do this program

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates can join the program by paying the admission fee

    Demand for Program

    The demand for Data Analytics courses is poised for a significant rise globally. Industry experts predict a Compound Annual Growth Rate (CAGR) of around 11.6% from 2024 to 2033. This translates to a market size reaching $665.7 billion by 2033, up from $225.3 billion in 2023. This growth is fueled by the increasing adoption of big data analytics by organizations across various sectors to gain valuable insights for better decision-making. The resulting skills gap is creating a strong demand for data analytics professionals, driving the need for educational courses in this field.

    The career prospects in data analytics are promising. The U.S. Bureau of Labor Statistics projects a significant increase in demand for Data Analysts and related roles in the coming years. The Data Analyst

    Data Analytics Trainning FAQs

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    IIT Kanpur and Simplilearn Collaboration

    IIT Kanpur and Simplilearn Collaboration