Probability and statistics are the backbone for Data Science. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in this type of analysis, and that’s where probability and statistics come in: they provide the mathematical foundation for such reasoning! In this Probability & Statistics course, deepen your knowledge of probability and statistics with lessons in both the theory and application of Bayesian probability, statistical testing, and model comparison. The Probability & Statistics course will then advance to understanding of DEA ( Data exploration and Analysis) which is integral stage for any Data Science. Finally learning about industry use cases relevant to data analysis with partial hands-on labs.
BDT250 / 1 – Day
Learning Objectives:
