✅ Data Analytics Basics You Must Know 📈🧠
1️⃣ What is Data Analytics?
➡️ The process of extracting insights from data to support decision-making.
2️⃣ 4 Types of Data Analytics
⦁ Descriptive: What happened?
⦁ Diagnostic: Why did it happen?
⦁ Predictive: What could happen?
⦁ Prescriptive: What should we do?
3️⃣ Common Data Types
⦁ Structured: Tables, rows, columns
⦁ Unstructured: Text, images, audio
⦁ Semi-structured: JSON, XML
4️⃣ Key Tools You’ll Use
⦁ Excel/Google Sheets
⦁ SQL (PostgreSQL, MySQL)
⦁ Python (Pandas, Matplotlib)
⦁ Tableau / Power BI
5️⃣ Common Tasks
⦁ Cleaning messy data
⦁ Creating visualizations
⦁ Running SQL queries
⦁ Finding trends & patterns
⦁ Communicating insights clearly
6️⃣ Top Skills Needed
⦁ Critical thinking
⦁ Business understanding
⦁ Data storytelling
⦁ Attention to detail
💬 Tap ❤️ for more!
Post #2455
8.42K
- ❤ 33