Master Statistical Inference & Hypothesis Testing for Data Science: P-values, Confidence Intervals, A/B Testing Sampling
Sub Category
- Other IT & Software
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Objectives
- Understand core concepts of statistical inference, populations, and samples.
- Differentiate between descriptive and inferential statistics effectively.
- Formulate null and alternative hypotheses for various data science problems.
- Grasp the significance of p-values and confidence intervals in decision-making.
Pre Requisites
- Basic understanding of mathematics (e.g., algebra, functions).
- Familiarity with fundamental statistical concepts (mean, median, standard deviation).
- No prior experience with hypothesis testing or advanced statistics is required.
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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