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In this course, you will learn :
- Learn how to characterise data in terms of data types, centre measures, spread measures, shape, and outliers.
- This course takes an in-depth look at the fundamental concepts and principles of probability. Calculate the probabilities of independent events, use Bayes' Rule in a real-world scenario, and much more.
- Discover the essential significance of statistics in experimentation and how to implement statistical principles in Python.
- This course provides a thorough overview of core statistical and machine learning algorithms, with a particular emphasis on regression techniques.
Syllabus :
- Descriptive Statistics
- Probability
- Experimentation
- Algorithms
