Course Content
Learning Statistics with Python
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Match the Functions
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Section 5. Chapter 7
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Learning Statistics with Python
Learning Statistics with Python
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1. Basic Concepts
2. Mean, Median and Mode with Python
3. Variance and Standard Deviation
4. Covariance vs Correlation
5. Confidence Interval
This section will help us deal with the first real statistical case: finding confidence intervals. It requires knowledge of NumPy, pandas, Matplotlib, and Seaborn library to calculate math formulas and build visualization! To encourage you to pass this section, I want to point out that you will run across a small amount of theory but a significant amount of practice!
6. Statistical Testing
An inseparable part of a data analyst's life is conducting hypothesis testing. After completing this section, you will understand the idea behind testing in statistics and will be able to conduct a t-test using Python.
