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Predictive Analytics Analyst Course
Unlock the real power of predictive analytics with our full training wey dem design specially for Business Intelligence professionals like you. Enter inside data exploration, sabi data cleaning well-well, and learn how to do feature engineering so your model go dey accurate well-well. Become expert for choosing and training predictive models, including linear regression, decision trees, and better better techniques like random forests. Learn how to understand the results and create correct reports to give business wey fit work well. Make your career better with learning wey practical and top quality.
- Master data cleaning: Handle data wey dey miss and correct any anyhow things wey dey there well-well.
- Develop feature engineering: Create new features and put economic indicators inside.
- Select predictive models: Choose and use linear regression and decision trees.
- Train and evaluate models: Use data splitting techniques so everything go dey okay.
- Interpret model results: Give business insights wey dem fit use and analyze wetin dey drive the results.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the real power of predictive analytics with our full training wey dem design specially for Business Intelligence professionals like you. Enter inside data exploration, sabi data cleaning well-well, and learn how to do feature engineering so your model go dey accurate well-well. Become expert for choosing and training predictive models, including linear regression, decision trees, and better better techniques like random forests. Learn how to understand the results and create correct reports to give business wey fit work well. Make your career better with learning wey practical and top quality.
Elevify advantages
Develop skills
- Master data cleaning: Handle data wey dey miss and correct any anyhow things wey dey there well-well.
- Develop feature engineering: Create new features and put economic indicators inside.
- Select predictive models: Choose and use linear regression and decision trees.
- Train and evaluate models: Use data splitting techniques so everything go dey okay.
- Interpret model results: Give business insights wey dem fit use and analyze wetin dey drive the results.
Suggested summary
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