4 Types of Data Analytics
You can’t master modern analytics without understanding the difference between Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.
Whether you're a Data Analyst, Product Analyst, Data Scientist, or just getting started in the data field, this 1-minute breakdown will give you clarity most people miss
1. 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 - What happened?
Summarizes past data to uncover trends.
→ Data collection, cleaning, dashboards, reports.
2. 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 - Why did it happen?
Digs into root causes behind the numbers.
→ Drill-downs, correlation checks, hypothesis testing.
3. 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 - What will happen?
Uses ML + historical data to forecast outcomes.
→ Model training, validation, performance tuning.
4. 𝐏𝐫𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜s - What should we do?
Recommends actions based on predictions.
→ Optimization, simulation, decision modeling.
If you want to go deeper, start learning from these top YouTube channels:
1. 𝐀𝐥𝐞𝐱 𝐓𝐡𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 – https://lnkd.in/eeEMPeG6
2. 𝐂𝐨𝐝𝐞𝐛𝐚𝐬𝐢𝐜𝐬 – https://lnkd.in/df4Eyb53
3. 𝐋𝐮𝐤𝐞 𝐁𝐚𝐫𝐨𝐮𝐬𝐬𝐞 – https://lnkd.in/dmbzK-zn
4. 𝐊𝐫𝐢𝐬𝐡 𝐍𝐚𝐢𝐤 – https://lnkd.in/eaqVxr57
5. 𝐟𝐫𝐞𝐞𝐂𝐨𝐝𝐞𝐂𝐚𝐦𝐩 – https://lnkd.in/d5Af6_39
Tags:
#DataAnalytics, #DataEngineering, #DataScience, #DataVisualization,
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