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Predictive Analytics Analyst Course
Unlock the power of predictive analytics with our in-depth training programme designed for Business Intelligence professionals. Explore data, learn how to clean data properly, and master feature engineering to make your models more accurate. Gain expertise in choosing and training predictive models, including linear regression, decision trees, and advanced techniques like random forests. Develop skills in understanding the results and creating clear reports to provide business insights that can be acted upon. Boost your career with practical, high-quality learning.
- Master data cleaning: Learn to deal with missing data and fix inconsistencies effectively.
- Develop feature engineering: Create new features and include economic indicators.
- Select predictive models: Choose and use linear regression and decision trees.
- Train and evaluate models: Use data splitting techniques to get the best performance.
- Interpret model results: Provide business insights that can be acted upon and analyse the key factors driving those results.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of predictive analytics with our in-depth training programme designed for Business Intelligence professionals. Explore data, learn how to clean data properly, and master feature engineering to make your models more accurate. Gain expertise in choosing and training predictive models, including linear regression, decision trees, and advanced techniques like random forests. Develop skills in understanding the results and creating clear reports to provide business insights that can be acted upon. Boost your career with practical, high-quality learning.
Elevify advantages
Develop skills
- Master data cleaning: Learn to deal with missing data and fix inconsistencies effectively.
- Develop feature engineering: Create new features and include economic indicators.
- Select predictive models: Choose and use linear regression and decision trees.
- Train and evaluate models: Use data splitting techniques to get the best performance.
- Interpret model results: Provide business insights that can be acted upon and analyse the key factors driving those 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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