Python Statistics Essential Training

This course is a part of Master Python for Data Science, a 13-course Learning Path series from LinkedIn Learning.

With this course, gain insight into key statistical concepts and build practical analytics skills using Python and powerful third-party libraries. Instructor Michele Vallisneri covers several major skills: cleaning, visualizing, and describing data, statistical inference, and statistical modeling. All concepts are introduced by analyzing intriguing real-world datasets and discussed from a machine-learning perspective—which assumes that powerful computation can replace complex mathematics.

Contents:

• Introduction
• 1. Installation and Setup
• 2. Importing and Cleaning Data
• 3. Visualizing and Describing Data
• 4. Introduction to Statistical Inference
• 5. Introduction to Statistical Modeling
• Conclusion