Name: Understanding and Visualizing Data with Python
Brand: University of Michigan
Availability: OnlineOnly
Rating: 4.7 (566 reviews)

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Learner Reviews & Feedback for Understanding and Visualizing Data with Python by University of Michigan

4.7

stars

2,698 ratings

About the 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

Aug 2, 2020

Great course to learn the basics! The supplementary material in Jupyter notebooks is extremely valuable. Really appreciate the PhD students who took the time to explain even the simplest of codes :)

Oct 31, 2020

Well organized material. The Discussion forum was the best one I've experienced in my Coursera education. All my questions were answered within one day. The best statistics class I've taken yet!

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551 - 567 of 567 Reviews for Understanding and Visualizing Data with Python

By Leonardo S

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Apr 11, 2020

Good content and syllabus, though the later videos could be easier to follow.

By Ayush Z

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May 19, 2020

I think it was more theoretical and more practice is required.

By Rui L

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Mar 24, 2025

cannot understand the asignment, also the answers

By Navavat P

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Sep 6, 2020

Too many texts in the lectures

By Djon P

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Apr 4, 2020

A little easy, and lacks focus

By Chunsi

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Jun 22, 2020

Could be more refined.

By Yu J K

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Dec 3, 2019

phyton part is shit

By Oya N S

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Oct 30, 2022

Advertised as 'level 1' but this course requires quite a lot of Python knowledge. It's prerequisites really should be more clearly outlined. I started this course 6 months ago, stopped to take the recommended Python courses--which I did--but it's still not enough to understand the Python applications in this course. Instructions need to re-write the prerequites of this course because it's misleading as it is.

By Shrikant K

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Sep 24, 2025

The course is decent with respect to Statistics. But it does not introduce you to Python. It seems to assume you already know the language and its various libraries for statistical analysis. I discovered this while working on the labs. I'm dropping the course and specialization for that reason. It's really unfortunate because I was looking forward to learning Statistics with Python.

By Esmail T

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Apr 28, 2024

It was irrelevant and contained unnecessary content. Why are we drowning in theoretical statistical topics instead of focusing on Python? Thus far, the course has been more about statistics than actually working with Python! I am here to address my statistical needs using Python, not to become an expert in statistics. Unfortunately, this course seems to be doing just the opposite.

By Amir N

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Dec 25, 2022

The ads is misleading and inaccurate! Most of course is delivered by undergrad students without any in-depth explanations and they literally skim read the contents for you! Nothing special! The name of UoM fooled me to register! However, No professor at UoM is teaching this cheap course.