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

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