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    Back to All Roadmaps

    Data Analyst Roadmap

    Complete learning path

    4-6 Months
    Beginner
    ₹4-15 LPA
    6 Phases

    Overview

    This roadmap guides you to become a Data Analyst. You'll master Excel, SQL, Python, and visualization tools like Tableau and Power BI. Perfect for beginners, completable in 4-6 months.

    Prerequisites

    Basic computer skills

    Outcome

    Data Analyst Role

    Resources

    Mostly free resources

    Learning Phases

    1

    Excel Mastery

    2-3 weeks

    Master Excel for data analysis and reporting.

    Skills to Learn

    • ★
      Advanced Formulas (VLOOKUP, INDEX-MATCH)
    • ★
      Pivot Tables & Pivot Charts
    • ★
      Data Cleaning in Excel
    • ◆
      Conditional Formatting
    • ◆
      What-If Analysis
    • ○
      Macros & VBA Basics

    Resources

    • Excel Easy
      Free
    • Chandoo Excel
      Free

    Projects to Build

    • →Sales Dashboard
    • →Budget Tracker
    • →Data Cleaning Report
    2

    SQL Fundamentals

    3-4 weeks

    Learn SQL to query and manipulate database data.

    Skills to Learn

    • ★
      SELECT, WHERE, ORDER BY
    • ★
      JOINs (INNER, LEFT, RIGHT)
    • ★
      GROUP BY & Aggregations
    • ★
      Subqueries
    • ◆
      Window Functions
    • ◆
      CTEs (Common Table Expressions)

    Resources

    • SQLBolt
      Free
    • Mode SQL Tutorial
      Free
    • Kaggle SQL Course
      Free

    Projects to Build

    • →Database Query Project
    • →Sales Analysis with SQL
    • →Customer Segmentation
    3

    Statistics Basics

    3-4 weeks

    Build statistical foundation for data analysis.

    Skills to Learn

    • ★
      Descriptive Statistics
    • ★
      Probability Basics
    • ★
      Distributions (Normal, Binomial)
    • ◆
      Hypothesis Testing
    • ◆
      Correlation & Regression
    • ◆
      A/B Testing

    Resources

    • Khan Academy Statistics
      Free
    • StatQuest YouTube
      Free

    Projects to Build

    • →Statistical Analysis Report
    • →A/B Test Analysis
    • →Survey Analysis
    4

    Python for Analysis

    4-5 weeks

    Learn Python for advanced data manipulation.

    Skills to Learn

    • ★
      Python Basics
    • ★
      Pandas for Data Manipulation
    • ★
      NumPy for Calculations
    • ★
      Data Cleaning with Python
    • ◆
      Matplotlib & Seaborn
    • ◆
      Jupyter Notebooks

    Resources

    • Kaggle Python Course
      Free
    • Pandas Documentation
      Free

    Projects to Build

    • →EDA Project
    • →Automated Data Report
    • →Data Pipeline Script
    5

    Data Visualization

    3-4 weeks

    Create impactful visualizations and dashboards.

    Skills to Learn

    • ★
      Tableau Fundamentals
    • ★
      Power BI Basics
    • ★
      Dashboard Design Principles
    • ◆
      Chart Selection
    • ◆
      Storytelling with Data
    • ○
      Interactive Visualizations

    Resources

    • Tableau Public
      Free
    • Power BI Learning
      Free

    Projects to Build

    • →Executive Dashboard
    • →Interactive Report
    • →Data Story Presentation
    6

    Business Acumen

    2-3 weeks

    Understand business context and metrics.

    Skills to Learn

    • ★
      KPIs & Metrics
    • ★
      Business Problem Framing
    • ★
      Communication Skills
    • ◆
      Stakeholder Management
    • ◆
      Industry Knowledge

    Resources

    • Data Science for Business
      Paid

    Projects to Build

    • →Business Case Study
    • →KPI Dashboard
    • →Presentation to Stakeholders
    All RoadmapsProduct Manager Roadmap