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Understanding and Visualizing Data with Python, University of Michigan

4.5
44 ratings
14 reviews

About this Course

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. At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera....

Top reviews

By JS

Jan 24, 2019

I strongly recommend this course to those who want to begin python programming applied to statistics. It launches a very sound foundation for statistical inference theory.

By RR

Feb 21, 2019

Very good course instructors ! Excellent balance of basics of statistics and python programming oriented towards data analysis. Thoroughly enjoyed the course material.

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15 Reviews

By Daniel Rechitsky

Feb 22, 2019

Lectures are great but there's little practice material and the quizzes are terrible. The quizzes are actually super easy but they don't cover much material from the course and sometimes introduce concepts and terms that were nowhere in the course materials.

If you want a good intro to stats without any actual testing, the lectures get pretty in-depth and the explanations are excellent! But if you're looking for lots of practice with stats in Python, you won't get much here.

By Rajesh Raghavan

Feb 21, 2019

Very good course instructors ! Excellent balance of basics of statistics and python programming oriented towards data analysis. Thoroughly enjoyed the course material.

By Jorge Alfonso

Feb 10, 2019

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By Moid Hassan

Feb 09, 2019

A good introduction on Statistics.

By Jin Shi

Feb 06, 2019

Really enjoyed the different (yet all wonderful) teaching styles of the large instructor team!

By Ata Mustafa

Feb 01, 2019

nice effort

By tuncay dogan

Jan 31, 2019

this course is well below my expectations. there are none real life examples or detailed visualizations, except a few simple plots. There is no step by step coding lectures. There are some youtube videos which are much better than this. Dont waste your time if your goal is to learn python, other than getting some certification.

By Yaron Klein

Jan 26, 2019

A good introduction to visualizing data using the Python seaborn library

By Jadson Paulino Alves da Silva

Jan 24, 2019

I strongly recommend this course to those who want to begin python programming applied to statistics. It launches a very sound foundation for statistical inference theory.

By Frank Salvador Ygnacio Rosas

Jan 17, 2019

Nice!