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Data Visualization & BI Analyst Roadmap

Master data visualization with Power BI, Tableau, and Python. Every company wants dashboards and reports. BI analysts are in demand across IT, consulting, and analytics firms in India.

3-5 months4-7 LPA → 18-35 LPA expected6 steps • 21 free resources
1

Data Visualization Principles

2-3 weeks

Learn what makes good visualizations: chart selection, color theory, visual hierarchy, and data storytelling.

By the end, you'll be able to

  • Choose the right chart for any data type
  • Apply color and design principles to dashboards
  • Tell stories with data visualizations
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Mini-project

Redesign 5 bad charts into effective visualizations. Create a data storytelling presentation from a real dataset.

2

Power BI

3-4 weeks

Microsoft Power BI is the most used BI tool in Indian enterprises. Master data modeling, DAX, and interactive report building.

By the end, you'll be able to

  • Build interactive dashboards in Power BI
  • Create data models with relationships
  • Write DAX formulas for calculations
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Mini-project

Build a complete sales analytics dashboard: revenue trends, product performance, regional analysis, and KPI cards.

3

Tableau

3-4 weeks

Tableau is the gold standard for visual analytics. Learn to create beautiful, interactive visualizations that tell compelling stories.

By the end, you'll be able to

  • Create visualizations in Tableau Desktop
  • Build interactive dashboards with filters and actions
  • Use calculated fields and LOD expressions
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Mini-project

Build a COVID-19 or cricket analytics dashboard in Tableau with multiple interactive views and a story.

4

SQL for Analytics

2-3 weeks

Pull your own data. Master SQL queries for analytics: aggregations, window functions, CTEs, and connecting to BI tools.

By the end, you'll be able to

  • Write analytical SQL queries
  • Use window functions for running totals and rankings
  • Connect SQL databases to Power BI/Tableau
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Mini-project

Write 30 analytical SQL queries on a sample database. Connect the database to Power BI and build 5 reports.

5

Python for Visualization

2-3 weeks

Complement BI tools with Python: matplotlib, seaborn, and plotly for custom visualizations and automated reporting.

By the end, you'll be able to

  • Create visualizations with matplotlib and seaborn
  • Build interactive charts with Plotly
  • Automate report generation with Python
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Mini-project

Create an automated weekly report in Python: pull data, create 10 visualizations, and generate a PDF report.

6

Portfolio & BI Career

2-3 weeks

Build a portfolio of dashboards and get hired. Learn to present your work and ace BI analyst interviews.

By the end, you'll be able to

  • Build a portfolio with 5+ dashboard projects
  • Present data insights to non-technical audiences
  • Ace BI analyst interview questions
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Mini-project

Create a portfolio with 5 dashboards on Tableau Public. Write case studies for each. Apply to 20+ BI roles.

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Pick the path that fits you

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