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

1,828 ratings
363 reviews

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

May 21, 2020

Excellent course materials, especially the videos, with content that is thoughtfully composed and carefully edited. Very good python training, great instructors, and overall great learning experience.

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 :)

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151 - 175 of 361 Reviews for Understanding and Visualizing Data with Python

By Phuong

Aug 5, 2020

This is a great course! The instructor lectured very easily understandable.

By Daniil K

Jul 31, 2020

Very good course. More info about practice, but lack of formuls and theory.

By Wonjun K

Jul 29, 2020

Excellent course to hit the ground running with data science using Python.

By Ritesh J

Dec 3, 2019

Excellent course. Gives you basic understanding on visualization in Python

By Rishi S

Jan 5, 2021

very good course with total balance between theory and practical contents

By Gabriel R G

Feb 16, 2020

I loved it, it´s very useful if you want learn python focused in database

By Yaron K

Jan 26, 2019

A good introduction to visualizing data using the Python seaborn library

By Eduardo A C

Jun 20, 2020

Very practical and consistent with data we need to work in real events.

By Patricia C G

Mar 19, 2019

I loved this course! Thank you for sharing all your knowledge with us!

By Saunak N

Oct 30, 2020

Quite easy to pass and the instructor Brady T. West is just awesome

By Ezequiel P

Oct 6, 2020

Great course. Really gives you a different perspective on the subject

By Beom J P

Sep 28, 2020

This course is best for someone who wants to gain statistics insight.

By Jainil S

Apr 10, 2020

Very good course to kick start career in data science and statistics.

By Olusola T O

Jul 8, 2020

This course will be the one to recommend to a lot of people like me.

By Mark M

Mar 22, 2020

Great course, but I'd prefer fewer videos and more slides/exercises.

By Xun Z

May 17, 2020

This class helps me recall the basics of statistics and programming


Jul 9, 2020

Great course to explore univariate and bivariate data with Python.


Jan 16, 2021

Superb faculties and awesome lectures overall an amazing course!!

By Luis F T J

Feb 21, 2021

Exelente curso para personas con nivel intermedio en estadística


Jul 29, 2020

Great! Learn some fundamental statistics knowledge with python.

By Fasasi T

Mar 10, 2019

I love this course, the simplicity and explanation is excellent

By Abhimanyu A

Jun 14, 2020

Very Good course for understanding visualisation and sampling.

By Ernesto J S B

Jun 8, 2020

Great Course to learn Statistics and Python. Great Teachers.

By Mukkamala R

Sep 5, 2020

It was a great experience with some outstanding content.

By Yugesh K

Jun 2, 2020

The best course to start with statistics for a beginner.