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Post #2672

@sqlspecialist

Data Analytics

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PostedMar 2003/20/2026, 06:32 PM
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πŸ”°Data Analyst Roadmap 2026 β”œβ”€β”€ πŸ—ƒIntroduction to Data Analysis β”‚ β”œβ”€β”€ Role overview & career paths β”‚ β”œβ”€β”€ Key skills: SQL, Excel, storytelling β”‚ └── Tools ecosystem (Colab, Tableau Public) β”œβ”€β”€ πŸ“ŠExcel Mastery (Formulas, Pivots) β”‚ β”œβ”€β”€ VLOOKUP, INDEX-MATCH, XLOOKUP β”‚ β”œβ”€β”€ PivotTables, slicers, Power Query β”‚ β”œβ”€β”€ Charts & conditional formatting β”‚ └── ETL basics in spreadsheets β”œβ”€β”€ πŸ”SQL for Analytics (Joins, Aggregates) β”‚ β”œβ”€β”€ Advanced SELECT with WHERE, GROUP BY β”‚ β”œβ”€β”€ JOINS (INNER, LEFT, window functions) β”‚ └── Performance: indexes, EXPLAIN plans β”œβ”€β”€ πŸ“ˆVisualization Principles (Charts, Dashboards) β”‚ β”œβ”€β”€ Chart types (bar, line, heatmaps) β”‚ β”œβ”€β”€ Design rules (avoid chart junk) β”‚ └── Color theory & accessibility β”œβ”€β”€ 🐍Python Basics (Pandas, NumPy) β”‚ β”œβ”€β”€ DataFrames: load, clean, merge β”‚ β”œβ”€β”€ Grouping, pivoting, NumPy arrays β”‚ └── Jupyter notebooks & stats intro β”œβ”€β”€ πŸ”’Statistics Fundamentals (Averages, Tests) β”‚ β”œβ”€β”€ Descriptive (mean, median, distributions) β”‚ β”œβ”€β”€ Hypothesis testing (t-tests, chi-square) β”‚ └── A/B testing & confidence intervals β”œβ”€β”€ πŸ› Tableau/Power BI Essentials β”‚ β”œβ”€β”€ Tableau: calculated fields, LOD β”‚ β”œβ”€β”€ Power BI: DAX, data modeling β”‚ └── Interactive dashboards & storytelling β”œβ”€β”€ πŸ€–AI Tools for Insights (Prompts, AutoML) β”‚ β”œβ”€β”€ Prompt engineering for SQL/viz β”‚ β”œβ”€β”€ Tableau Einstein, Power BI Copilot β”‚ └── AutoML basics (no-code modeling) β”œβ”€β”€ ☁️Cloud Platforms (BigQuery Basics) β”‚ β”œβ”€β”€ BigQuery SQL & massive datasets β”‚ β”œβ”€β”€ AWS QuickSight, Snowflake intro β”‚ └── Free tier cost optimization β”œβ”€β”€ πŸ“ŠData Storytelling Frameworks β”‚ β”œβ”€β”€ Pyramid Principle for reports β”‚ β”œβ”€β”€ KPI dashboards & executive summaries β”‚ └── Narrative structure (context-insight-action) β”œβ”€β”€ πŸ”—ETL Pipelines Intro (dbt, Airflow) β”‚ β”œβ”€β”€ Data transformation with dbt β”‚ β”œβ”€β”€ Orchestration (Airflow basics) β”‚ └── No-code: Zapier automation β”œβ”€β”€ πŸ’ΌPortfolio & Interview Prep β”‚ β”œβ”€β”€ 3-5 projects (sales, churn analysis) β”‚ β”œβ”€β”€ Kaggle datasets & GitHub portfolio β”‚ └── STAR method, mock interviews └── πŸ§ͺReal-world Challenges (Kaggle, Cases) β”œβ”€β”€ E-commerce churn prediction β”œβ”€β”€ Marketing ROI analysis β”œβ”€β”€ Supply chain optimization └── LeetCode SQL, case studies Like for detailed explanation ❀️