Statistics

The Purpose of Statistics, Writing Research Questions, Identifying Types of Variables, and Descriptive Statistics

A Stress-Free Introduction to Hypothesis Testing

Stress-Free Ways to Learn about Regression, Prediction, Probability, Sampling, and Interval Estimation

Stress-Free Ways to Learn about the Normal Distribution, Standard Scores, and the Bivariate Normal Distribution

Stress-Free Ways to Learn about Estimation Issues, the t-Distribution, t-Tables, Categorical Statistics, and Correlation

Python Mastery for Data Science & Statistical Modeling: Basics to Advanced Applications in Data Analysis, Visualization

A Stress-Free Way to Learn Statistics

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

Statistics and Data Science With Using Manual Calculation, Excel, SPSS, R, and Python: Five in One Course

Master the core Mathematics, Probability & Statistics for Business Analytics, Data Science, AI, Machine & Deep Learning