Course 2: Statistical Learning
- 2 months
- Intakes: Jan, Apr, Jun, Oct
Prerequisites
- First course in statistics
- Knowledge in linear algebra, and computing
Who is this course for?
- Students who complete the first basic statistics course and want to advance more.
- Students who do not have a statistical learning background for learning Artificial Intelligence and Machine Learning.
- Students who want to become an AI engineer from zero.
- People in any fields who want to refresh their statistical learning knowledge before deciding to pursue later advanced AI courses.
What you'll get after completing this course:
This is a beginner-level course in supervised learning. Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. And it is a statistical approach to Machine Learning. With the application of this course, you will be familiarised with your data set, which later helps you build that needed confidence in your modeling.
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.