Python Statistics Essential Training

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.

Topics include:

• Installing and setting up Python
• Importing and cleaning data
• Visualizing data
• Describing distributions and categorical variables
• Using basic statistical inference and modeling techniques
• Bayesian inference

About the Author

Michele Vallisneri is a theoretical astrophysicist at NASA Jet Propulsion Laboratory.

He obtained his PhD in physics at the California Institute of Technology in 2002. His research spans the detection and interpretation of gravitational waves with LIGO, in space, and with pulsar timing. He is an expert in data analysis, Bayesian inference, and computational physics, and he believes that elegant, transparent programming can illuminate the hardest problems. He is a Fellow of the American Physical Society, and he was awarded the NASA Exceptional Scientific Achievement Medal.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Intermediate
• Video Duration: 2h 58m
• Instructor: Michele Vallisneri