Post #2523

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