Statistics for Data Science with Python

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of

• Write Python code to conduct various statistical tests including a T test, an ANOVA, and regression analysis
• Interpret the results of your statistical analysis after conducting hypothesis testing
• Calculate descriptive statistics and visualization by writing Python code
• Create a final project that demonstrates your understanding of various statistical test using Python and evaluate your peer's projects