Prerequisites: No prior knowledge required

Level: Beginner

What You'll Learn

• Core Concepts

  Understand the role of probability and statistics in machine learning contexts.

• Descriptive Statistics

  Calculate and interpret measures of central tendency and dispersion for datasets.

• Data Visualization

  Create and interpret basic data visualizations like histograms and box plots.

• Probability Basics

  Apply fundamental probability rules and understand conditional probability.

• Probability Distributions

  Identify and understand common discrete and continuous probability distributions.

• Statistical Inference Introduction

  Grasp the basic ideas behind statistical inference, confidence intervals, and hypothesis testing.

• Python Implementation

  Use Python libraries like NumPy and Pandas to perform basic statistical calculations and data analysis.