Glad to see the amazing response on data analytics roadmap. ❤️

Today, let's start with the first topic of data analytics roadmap:

What is Data Analytics

You collect raw data, clean it, analyze patterns, and share insights for decisions.
Data analytics means using data to answer business questions.

Real Examples
- Sales team checks which product sells most each month.
- HR tracks employee attrition rate.
- Marketing measures ad spend vs revenue.
- Finance monitors profit and cost trends.

Types of Analytics
- Descriptive: What happened. Example: Last month sales were ₹12 lakh.
- Diagnostic: Why it happened. Example: Sales dropped due to fewer ads.
- Predictive: What will happen next. Example: Forecast next quarter sales.
- Prescriptive: What action to take. Example: Increase ads in high performing regions.

Where Analytics is Used
- IT and software companies
- E-commerce and retail
- Banking and finance
- Healthcare
- EdTech and startups

Skills You Need as a Beginner
- Excel for cleaning and summaries
- SQL for data extraction
- Visualization tool like Power BI or Tableau
- Basic statistics
- Clear communication

Mini Task
Open Excel. Create a simple table with columns: Date, Product, Sales. Add 10 rows of fake data. Calculate total sales using SUM.

Next up: Types of data - Structured, semi-structured, unstructured.

Double Tap ♥️ For More