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Predictive Analytics Analyst Course
Get ready to use the power of predictive analytics with our full training program made for people who work with Business Intelligence. You'll learn how to explore data, become a master at cleaning data, and learn how to build new features to make your models work even better. You'll also learn how to pick and train predictive models, including linear regression, decision trees, and more advanced methods like random forests. You'll get good at understanding the results and writing clear reports that give useful information for making business decisions. Make your career better with this training program that gives you real-world skills.
- Become a master at cleaning data: Learn how to deal with missing data and fix mistakes in the data properly.
- Develop feature engineering skills: Create new features from the data and use things like economic numbers to improve the models.
- Choose the right predictive models: Learn how to pick and use linear regression and decision trees for different jobs.
- Train and test your models: Use methods like data splitting to make sure your models work as well as possible.
- Understand the results of your models: Give useful business information 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 the power of predictive analytics with our full training program made for people who work with Business Intelligence. You'll learn how to explore data, become a master at cleaning data, and learn how to build new features to make your models work even better. You'll also learn how to pick and train predictive models, including linear regression, decision trees, and more advanced methods like random forests. You'll get good at understanding the results and writing clear reports that give useful information for making business decisions. Make your career better with this training program that gives you real-world skills.
Elevify advantages
Develop skills
- Become a master at cleaning data: Learn how to deal with missing data and fix mistakes in the data properly.
- Develop feature engineering skills: Create new features from the data and use things like economic numbers to improve the models.
- Choose the right predictive models: Learn how to pick and use linear regression and decision trees for different jobs.
- Train and test your models: Use methods like data splitting to make sure your models work as well as possible.
- Understand the results of your models: Give useful business information and figure out what's driving the results.
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 workload.What our students say
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