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- Introduction to Statistics: Learn the basic principles of statistics, types of data, and the distinction between populations and samples. Understand key sampling techniques and the difference between descriptive and inferential statistics.
- Descriptive Statistics: Dive deep into descriptive statistics, exploring measures of central tendency (mean, median, mode) and measures of dispersion (variance, standard deviation). Learn how to detect and handle outliers, and understand the Central Limit Theorem’s importance.
- Hypothesis Testing & Computational Methods: Understand hypothesis testing, p-values, and computational methods to test hypotheses in Python.
