Post #2526

Now, let's move to the next topic of data analytics roadmap: Tools Used in Data Analytics✅ You don't need every tool, you need the right stack. Core tools to learn first: 1. Excel - Fast cleaning and quick analysis - Used in almost every company - Focus on: Filters, sorting, IF, COUNTIFS, SUMIFS, pivot tables, basic charts - Real use: Clean raw CSV files, build quick reports 2. SQL - Data lives in databases, Excel breaks on large data - Focus on: SELECT, WHERE, GROUP BY, HAVING, JOINS, subqueries - Real use: Pull monthly sales data, join customer and orders tables 3. Visualization tool (Power BI or Tableau) - Decision makers read charts, not tables - Focus on: Connecting data sources, basic charts, filters, simple dashboards - Real use: Sales dashboard, KPI tracking 4. Python (optional at start) - Automation and deeper analysis - Focus on: Pandas basics, reading CSV and Excel, simple grouping and filtering Mini task: - Install Excel alternative (Google Sheets works) - Install MySQL or PostgreSQL - Install Power BI Desktop or Tableau Public 👉 Next up: Excel basics for data analytics Double Tap ♥️ For More