Learning from a professional
WHAT ARE YOU LEARNING?
Recognizing difficult data | Create models | Controlling over-fitting | Eliminating nuisance parameters | Choosing between models | Prediction | Estimate missing data
Critical observing and thinking. This is the main purpose of the course.
HOW DO YOU LEARN?
We start with a trivial problem, but 6 data points. And we’re going to predict a seventh point. This simple-looking assignment is full of pitfalls. And you must have fallen in there once.
You learn by asking questions and answering them together. That way you become a better professional.
YOU WILL RETURN WITH
- An in-depth understanding of what regression is
- The insight into how it can help you further
- A course manual as back-up
- Access to a network of experts
This short video (< 2 minutes) explains more:
“I would have loved to attend this introduction into Bayesian Statistics when I was at the start of my career as data analist. I highly recommend it for everyone with real data who wants to get the most out of it.”
WHY TO KNOW THIS?
“It took some efforts to make it working, but then it worked beautifully. We discovered features in astronomical object that were unknown at that time. With newer and better satellites all of it was confirmed, in details that we were initially not prepared to believe.”
Do Kester and Romke Bontekoe