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๐Ÿ”ฐ Data Analyst Roadmap 2026

โ”œโ”€โ”€ ๐Ÿ—ƒ Introduction to Data Analysis
โ”‚ โ”œโ”€โ”€ Role overview & career paths
โ”‚ โ”œโ”€โ”€ Key skills: SQL, Excel, storytelling
โ”‚ โ””โ”€โ”€ Tools ecosystem (Colab, Tableau Public)

โ”œโ”€โ”€ ๐Ÿ“Š Excel Mastery (Formulas, Pivots)
โ”‚ โ”œโ”€โ”€ VLOOKUP, INDEX-MATCH, XLOOKUP
โ”‚ โ”œโ”€โ”€ PivotTables, slicers, Power Query
โ”‚ โ”œโ”€โ”€ Charts & conditional formatting
โ”‚ โ””โ”€โ”€ ETL basics in spreadsheets

โ”œโ”€โ”€ ๐Ÿ” SQL for Analytics (Joins, Aggregates)
โ”‚ โ”œโ”€โ”€ Advanced SELECT with WHERE, GROUP BY
โ”‚ โ”œโ”€โ”€ JOINS (INNER, LEFT, window functions)
โ”‚ โ””โ”€โ”€ Performance: indexes, EXPLAIN plans

โ”œโ”€โ”€ ๐Ÿ“ˆ Visualization Principles (Charts, Dashboards)
โ”‚ โ”œโ”€โ”€ Chart types (bar, line, heatmaps)
โ”‚ โ”œโ”€โ”€ Design rules (avoid chart junk)
โ”‚ โ””โ”€โ”€ Color theory & accessibility

โ”œโ”€โ”€ ๐Ÿ Python Basics (Pandas, NumPy)
โ”‚ โ”œโ”€โ”€ DataFrames: load, clean, merge
โ”‚ โ”œโ”€โ”€ Grouping, pivoting, NumPy arrays
โ”‚ โ””โ”€โ”€ Jupyter notebooks & stats intro

โ”œโ”€โ”€ ๐Ÿ”ข Statistics Fundamentals (Averages, Tests)
โ”‚ โ”œโ”€โ”€ Descriptive (mean, median, distributions)
โ”‚ โ”œโ”€โ”€ Hypothesis testing (t-tests, chi-square)
โ”‚ โ””โ”€โ”€ A/B testing & confidence intervals

โ”œโ”€โ”€ ๐Ÿ›  Tableau/Power BI Essentials
โ”‚ โ”œโ”€โ”€ Tableau: calculated fields, LOD
โ”‚ โ”œโ”€โ”€ Power BI: DAX, data modeling
โ”‚ โ””โ”€โ”€ Interactive dashboards & storytelling

โ”œโ”€โ”€ ๐Ÿค– AI Tools for Insights (Prompts, AutoML)
โ”‚ โ”œโ”€โ”€ Prompt engineering for SQL/viz
โ”‚ โ”œโ”€โ”€ Tableau Einstein, Power BI Copilot
โ”‚ โ””โ”€โ”€ AutoML basics (no-code modeling)

โ”œโ”€โ”€ โ˜๏ธ Cloud Platforms (BigQuery Basics)
โ”‚ โ”œโ”€โ”€ BigQuery SQL & massive datasets
โ”‚ โ”œโ”€โ”€ AWS QuickSight, Snowflake intro
โ”‚ โ””โ”€โ”€ Free tier cost optimization

โ”œโ”€โ”€ ๐Ÿ“Š Data Storytelling Frameworks
โ”‚ โ”œโ”€โ”€ Pyramid Principle for reports
โ”‚ โ”œโ”€โ”€ KPI dashboards & executive summaries
โ”‚ โ””โ”€โ”€ Narrative structure (context-insight-action)

โ”œโ”€โ”€ ๐Ÿ”— ETL Pipelines Intro (dbt, Airflow)
โ”‚ โ”œโ”€โ”€ Data transformation with dbt
โ”‚ โ”œโ”€โ”€ Orchestration (Airflow basics)
โ”‚ โ””โ”€โ”€ No-code: Zapier automation

โ”œโ”€โ”€ ๐Ÿ’ผ Portfolio & Interview Prep
โ”‚ โ”œโ”€โ”€ 3-5 projects (sales, churn analysis)
โ”‚ โ”œโ”€โ”€ Kaggle datasets & GitHub portfolio
โ”‚ โ””โ”€โ”€ STAR method, mock interviews

โ””โ”€โ”€ ๐Ÿงช Real-world Challenges (Kaggle, Cases)
โ”œโ”€โ”€ E-commerce churn prediction
โ”œโ”€โ”€ Marketing ROI analysis
โ”œโ”€โ”€ Supply chain optimization
โ””โ”€โ”€ LeetCode SQL, case studies

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