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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
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    Sproutern Editorial Team

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    Review standards

    Last reviewed

    March 6, 2026

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    • We prefer official course, certificate, and template owners over scraped comparison pages.
    • We balance strategy with implementation, so pages include both practical next steps and evidence-based context.
    • If a resource ages badly because hiring or admissions expectations shift, we update or replace it rather than keeping stale advice live.
    Read our methodologyEditorial guidelinesReport a correction

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      We prefer the original provider page over aggregator summaries when recommending a course, certificate, or resource.

    • NACE, LinkedIn research, and public recruiter guidance

      Used for resume, interview, job-search, and early-career advice when employer-side context matters.

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      Used when resources reference Indian higher-education policy, eligibility rules, or academic pathways.

    Recent updates

    March 6, 2026

    Added clearer author, reviewer, and source disclosure

    Resource pages now explain who maintains them, which standards guide updates, and how readers can inspect the methodology behind major recommendations.

    Public correction path

    Readers can report stale links, changed provider terms, or factual issues through our contact flow, and we review those reports against the original source.

    Prefer the full policy pages? Read our public standards or contact the team if a major page needs a correction.Open standards