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Predictive Analytics Analyst Course
Unlock the power of predictive analytics with our proper training course wey dey designed for Business Intelligence professionals. Enter inside data exploration, learn data cleaning strategies well-well, and learn how to do feature engineering so your model fit be tight. Get experience for inside choosing and training predictive models, plus linear regression, decision trees, and some advanced things like random forests. Learn how to read results and write report wey go make sense so you go give business people something dem for take do. Move your career forward with correct, top-quality learning.
- Learn data cleaning well: Fix missing data and make sure say everything correct.
- Learn feature engineering: Create new features and put economic indicators inside.
- Choose predictive models: Choose and use linear regression and decision trees.
- Train and evaluate models: Use data splitting things so everything go work well.
- Read model results: Give business people something dem for take do and analyze wetin dey drive things.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the power of predictive analytics with our proper training course wey dey designed for Business Intelligence professionals. Enter inside data exploration, learn data cleaning strategies well-well, and learn how to do feature engineering so your model fit be tight. Get experience for inside choosing and training predictive models, plus linear regression, decision trees, and some advanced things like random forests. Learn how to read results and write report wey go make sense so you go give business people something dem for take do. Move your career forward with correct, top-quality learning.
Elevify advantages
Develop skills
- Learn data cleaning well: Fix missing data and make sure say everything correct.
- Learn feature engineering: Create new features and put economic indicators inside.
- Choose predictive models: Choose and use linear regression and decision trees.
- Train and evaluate models: Use data splitting things so everything go work well.
- Read model results: Give business people something dem for take do and analyze wetin dey drive things.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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