Predictive Analytics Analyst Course
What will I learn?
Unlock the power of predictive analytics with our in-depth course designed for Business Intelligence professionals. Dig deep into data exploration, master data cleaning strategies, and learn feature engineering to improve how good your models are. Become skilled at picking and training predictive models, including linear regression, decision trees, and more advanced stuff like random forests. Learn how to understand the results and put together proper reports to give useful business insights. Boost your career with practical, top-quality learning.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master data cleaning: Sort out missing data and fix any mistakes properly.
Develop feature engineering: Create new features and bring in economic indicators.
Select predictive models: Choose and use linear regression and decision trees.
Train and evaluate models: Use data splitting methods to get the best results.
Interpret model results: Give useful business insights and analyze the main things that make things happen.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.