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Fitting Statistical Models to Data with Python

In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.

Created by University of Michigan


What you’ll learn

From this educational resource you will acquire the compentencies sought from employers today. The most relevant technique in the educational opportunity that is frequently included from organizations is Data Analysis. The most in demand tool is Python.

Who will benefit?

Comparing the description from this educational opportunity with nearly 10,000 data-related job maps, we determine that those interested in Data Scientist roles would benefit the most.