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Learning path

Data Analyst

Clean, analyse and present data that drives business decisions.

Start this pathSee the roadmap
Estimated duration
~22 weeks
Stages
5
Courses
2
Portfolio projects
2

Overview

Learn the tools analysts use every day — Excel, SQL, Power BI and Python — by working through realistic business datasets, and finish with a portfolio that shows how you think.

Skills you’ll gain

  • Excel modelling
  • SQL
  • Power BI & DAX
  • Python & pandas
  • Data storytelling
  • AI-assisted analysis

Roadmap

Your journey, stage by stage

Each stage builds on the previous one. Plan for 6–8 hours a week including projects.

  1. 1

    Weeks 1–3

    Excel

    Formulas, pivots and modelling for everyday analysis.

  2. 2

    Weeks 4–8

    SQL

    Query, join and aggregate data from real databases.

  3. 3

    Weeks 9–13

    Power BI

    Interactive dashboards and data storytelling.

  4. 4

    Weeks 14–18

    Python

    pandas, automation and exploratory analysis.

  5. 5

    Weeks 19–22

    AI Analytics

    Use AI to speed up analysis and reporting.

Included courses

The programs in this path

All courses
  • Most popularLive

    Data Analytics Career Program

    Excel, SQL, Power BI and Python — become a job-ready data analyst.

    • 16 weeks
    • 25+ projects
    • Beginner
    • Certificate

    ₹12,999Original price ₹19,99935% off

  • Recorded

    Power BI for Business Analytics

    Data modelling, DAX and dashboard design for business reporting.

    • 6 weeks
    • 6+ projects
    • Beginner
    • Certificate

    ₹5,999Original price ₹8,99933% off

Portfolio

Projects you’ll build

Project library

  • Intermediate project

    Business Analytics Dashboard

    Model sales data in SQL and ship an executive Power BI dashboard with AI insights.

    1. InputRaw sales data
    2. AIAI insights
    3. AutomationSQL + Power BI
    4. OutputExec dashboard
    • SQL
    • Power BI
    • Python
    • Excel

  • Intermediate project

    Customer Churn Analysis

    Find which customers are likely to leave — and why — using SQL and Python.

    1. InputCustomer data
    2. AIChurn signals
    3. AutomationAnalysis
    4. OutputRetention plan
    • SQL
    • Python
    • pandas
    • Power BI

Career outcomes

Where this path can take you

  • Data Analyst
  • Business Analyst
  • MIS Analyst

Roles are examples of where these skills apply; we don’t guarantee placement.

FAQ

Questions about this path

Do I have to take the courses in order?

We recommend it — each stage builds on the previous one — but you can start at any stage if you already have the earlier skills.

Can I buy the whole path at once?

Yes. Path bundles will be available at checkout at a lower price than buying each course separately.

How much time should I plan per week?

Plan for 6–8 hours a week, including live sessions and project work.

Start the Data Analyst path

Begin with stage one today and build your portfolio as you go.

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