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Predictive Analytics Analyst Course
Get ready to use predictive analytics like a pro! This training is perfect for people who already work with Business Intelligence. You'll learn how to dig deep into data, make sure your data is clean and correct, and even create new data points to make your predictions better. We'll teach you how to pick the right prediction tools, like linear regression and decision trees, and even some more powerful techniques like random forests. You'll also learn how to understand what the results mean and write reports that give clear, useful advice for businesses. This practical training will help you move up in your career!
- Learn how to clean data: Fix missing information and make sure everything matches up.
- Get good at feature engineering: Create new data points and use things like the economy to help your predictions.
- Choose the right prediction tools: Know when to use linear regression, decision trees, and other methods.
- Train and test your prediction models: Learn how to split your data so your models work their best.
- Understand what your model says: Give businesses clear advice and figure out what's driving the results.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get ready to use predictive analytics like a pro! This training is perfect for people who already work with Business Intelligence. You'll learn how to dig deep into data, make sure your data is clean and correct, and even create new data points to make your predictions better. We'll teach you how to pick the right prediction tools, like linear regression and decision trees, and even some more powerful techniques like random forests. You'll also learn how to understand what the results mean and write reports that give clear, useful advice for businesses. This practical training will help you move up in your career!
Elevify advantages
Develop skills
- Learn how to clean data: Fix missing information and make sure everything matches up.
- Get good at feature engineering: Create new data points and use things like the economy to help your predictions.
- Choose the right prediction tools: Know when to use linear regression, decision trees, and other methods.
- Train and test your prediction models: Learn how to split your data so your models work their best.
- Understand what your model says: Give businesses clear advice and figure out what's driving the results.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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