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

4.7
stars
1,928 ratings
392 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

AT
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.

VV
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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326 - 350 of 390 Reviews for Understanding and Visualizing Data with Python

By RAKESH J

Feb 2, 2021

Content is great. Would be a great learning experience for those who have some idea of stats and python. Definitely, not for entry-level python and stats.

By Luis A S G

Dec 5, 2020

It is a good course to start with python and statistics, the part of sampling distribution I think should improve, personally I don´t like large speeches

By Matthew

Nov 10, 2019

Pretty good introduction for using Python for statistics. Some of the lectures were a little dry, and the test material could have been more challenging.

By Rory B

Aug 7, 2020

Generally useful, not entirely sure what the peer review assignment was, and could have done with more python assignments to help with consolidation

By Essig Z

Aug 17, 2020

The high-level theory was well explained. It would've been awesome if there would be more hands-on labs, and if the theory would go more in depth.

By ANUBHAV C

Jul 15, 2020

The assignments could be made more interactive,like assigning us problems on which would have to visualize the in jupyter by us to get the answer.

By Shukrit K

Feb 13, 2020

Python exercises can be more interactive and the examples for sampling could be explained by taking a small data set for getting a realistic idea

By mohamed h

Jan 7, 2020

some of the materials in this course was not very clear but I think there will be more explanation in the upcoming courses in this specialization

By Carlos M V R

Aug 20, 2020

Nice course, there are very good explanations, but I thought there was going to be some mathematical background, I think it is important too.

By chetan z

Jun 21, 2020

It is really good course for professional data scientist as mostly explains how to visualize data and graph and make an conclusion out of it.

By Yohan O B T

Feb 8, 2021

Es un buen curso pero sería bueno que los videos fueran más cortos, hay unos que duran más de 20 minutos y a veces cuesta seguir concentrado

By Brett S

May 29, 2019

Great class for beginners. Would have loved to learn the material in smaller python notebook snippets throughout. Instruction was excellent!

By Leandro R V

Jul 19, 2020

It's a good course to learn the statistics fundamentals with some python pratices with Pandas, Numpy, Matplotlib and Seaborn

By Frederick A P

Nov 15, 2019

Very high level introduction to pandas and visualization. It is a good resource for finding different pandas functions.

By Ng M T

Aug 21, 2020

Great guidance and lesson videos! :) Easy to follow and I love the fact that I learnt something new here - Numpy!

By Peggy L

Apr 5, 2021

It will help if you have some basic knowledge of Quantitative, so could only focus on the Python learning part.

By NAMAN D

Jul 22, 2020

The course is really good.The explanations are in detail but the assignments should be tougher.

By CHITRESH K

May 11, 2019

Coursework is great and so are the teachers , concepts are taught in a easy to understand way.

By Vineet S S

Apr 12, 2020

More examples could have been used to explain concepts in the 4th week of the course. Thanks

By John S W

Sep 30, 2019

Excellent course. Wish I had had more feedback, or someway to interact with an instructor.

By Nicola D L

May 31, 2020

Light-hearted but fairly rigorous. Material is well explained and examples are compelling.

By Partha S

May 13, 2019

It's a wonderful course. Each and every part is well designed and very well explained. i

By vivek n

Apr 15, 2019

Very helpful in understanding sampling stats...using python is like a cherry on top :)

By Mohammad S S

Jul 27, 2020

This course is designed in the best manner you can ever approach to the data science.

By harsh s

Nov 14, 2019

Just a tad slow for my pace, but the understanding and course material are on point.