Statistics for Data Science, AI, and ML

Date created
21/09/2024

Master essential statistical concepts to excel in Data Science, AI, and Machine Learning. This course covers everything from probability, hypothesis testing, and regression to advanced topics like Bayesian statistics, PCA, and Markov Models, providing a solid foundation for building data-driven models and making informed decisions.

What you will learn

Introduction to Statistics
Understanding Descriptive Statistics
Understanding Statistics and Probability
Statistics Distributions
Understanding the Central Limit Theorem
Understanding Statistics Hypothesis Testing
Understanding Statistics Confidence Intervals
Understanding Statistics Regression Analysis
Understanding P-Values and Statistical Significance
Understanding Statistics
Understanding ANOVA
Understanding Chi-Square Tests
Understanding Statistics Time Series Analysis
Understanding Bayesian Statistics
Unlocking Insights with Multivariate Analysis
Understanding Statistical Modeling Techniques
Understanding Maximum Likelihood Estimation (MLE)
Resampling Methods
Understanding Principal Component Analysis (PCA)
Understanding Markov Chains and Hidden Markov Models