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Understanding and Visualizing Data with Python

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.

Created by University of Michigan


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What you’ll learn


Through this learning resource you will acquire the compentencies demanded by organizations these days. The most in demand technique within the educational resource that is commonly included by organizations is Data Analysis. The most relevant tool is Python. You will also find out about Communication Skills, a trait frequently included in job postings.

Who will benefit?


Mapping material from this educational opportunity with nearly 10,000 data-related job advertisements, we find that those interested in Data Scientist roles would benefit the most.