Validate your analytics skills with 200 practice scenarios on Hypothesis Testing, Regression, and A/B Testing.
Sub Category
- Math
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Objectives
- Evaluate Hypothesis Tests (Null vs. Alternative) and interpret p-values to determine the statistical significance of business metrics.
- Design and analyze A/B Tests, accurately calculating required sample sizes while avoiding Type I (False Positive) and Type II errors.
- Apply Descriptive Statistics (Variance, Standard Deviation, Z-Scores) to identify extreme outliers in raw datasets.
- Understand core Probability Distributions (Normal, Binomial, Poisson) and evaluate the assumptions required for Linear and Logistic Regression.
Pre Requisites
- A foundational understanding of high-school level algebra and basic mathematics. No prior coding experience in Python or R is required, as this course focuses entirely on mathematical theory and applied business logic.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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