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Overview
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.
USD 49
Type: Online
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USD 49
Type: Online
This course includes
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Understanding and Visualizing Data with Python
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Start Date: February 10th 2021
Course Description
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.
The information used on this page is how each course is described on the Coursera platform.
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About the Instructor
Brenda Gunderson,Brady T. West,Kerby Shedden,University of Michigan
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