Descriptive, Diagnostic, Predictive and Prescriptive Analytics in Data Analyst
Many beginners try to jump directly to tools, but strong understanding starts with the basic idea behind the technique.
Chapter Overview
The four types of analytics are often taught as a ladder of maturity. Descriptive analytics tells us what happened. Diagnostic analytics explains why it happened. Predictive analytics estimates what may happen next. Prescriptive analytics suggests what action should be taken.
Simple Business Story
Suppose website traffic dropped last month. A descriptive report shows the drop. A diagnostic analysis finds that paid campaigns were paused. A predictive model estimates lower conversions next month if the pause continues. A prescriptive recommendation suggests shifting budget to the highest-performing channel.
Why This Matters
As a student, you do not need to master all four levels on day one. But you should understand how they connect. This understanding helps you speak the language of business teams and ask better questions.
Exam Tip
If someone asks “What happened?” think descriptive. If they ask “What should we do?” think prescriptive.
Key Takeaways
- Learn the four major types of analytics with simple business examples.
- This chapter belongs to Introduction to Data Analytics and is written in a simple student-friendly style.
- Practice with business examples like app usage, sales, support data to build confidence faster.
