Hypothesis Testing with Python

Colleagues, the Hypothesis Testing with Python from Code Academy will enable you to Plan, implement, and interpret a hypothesis test in Python. Hypothesis testing is used to address questions about a population based on a subset from that population. For example, A/B testing is a framework for learning about consumer behavior based on a small sample of consumers. This course assumes some preexisting knowledge of Python, including the NumPy and pandas libraries. Learn hypothesis testing for a sample statistic, hypothesis testing associations and sample size determination. Acquire high-demand, marketable skills in 1) Introduction to Hypothesis Testing - Find out what you’ll learn in this course and why it’s important, 2) Hypothesis testing: Testing a Sample Statistic - Learn about hypothesis testing and implement binomial and one-sample t-tests in Python, 3) Hypothesis Testing: Testing an Association - Learn about hypothesis tests that can be used to evaluate whether there is an association between two variables, 4) Experimental Design - Learn to design an experiment to make a decision using a hypothesis test, and 5) Hypothesis Testing Projects - Practice your hypothesis testing skills with some additional projects.

Enroll today (eams & execs welcome): https://fxo.co/CZIg 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy