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

4.7
stars
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

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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76 - 100 of 361 Reviews for Understanding and Visualizing Data with Python

By K s d s E

May 11, 2020

Great course to learn about the basic tools which will be helpful in data visualization and this course also gives an insight explanation of where the data comes from.

By Anand M

Mar 1, 2020

The course is very good & it gives a confidence to people like me who are new to Python .

It would be great If you can explain the hypothesis section in more detail .

By Sangbaek P

Apr 11, 2019

Really helpful to build a foundation for the basic Python and improve the understanding on basic but key concepts on statistics and visualizing techniques. Awesome!

By Gregory J O C

Aug 3, 2020

It's a very nice course, which narrows complicated statistics concepts to understandable size, additionally, each concept is explained through hands-on exercises!

By Dinesh S W

May 9, 2020

its more benificial for me becasuse visulization of the data is very important understand in analysis part that i have gained very easy from you thankyou so much

By Gurprem S

Jun 14, 2020

The course is comprehensive and good for beginners. Highly recommend if you are starting out as a data scientist or even if you are a beginner python programmer.

By Rishabh S

Jul 9, 2020

excellent course. if want to know what is data data and want to visualize data then you should do this course. Excellent course material, videos, quiz and more.

By Aritra G

Jan 24, 2021

That is a wonderful course . I learn a lot of things . I love it . The introduction of course by Brenda Gunderson is amazing . and other instructor are also .

By Sunit K

May 25, 2020

Very informative course! helps you increase your depth of knowledge in Statistics. Would highly recommend to any aspiring Data Analysts and Data Scientists.

By Bryan S C C

Jun 27, 2020

It is a very explanatory course with instructors trained in the subject. The class materials are varied, which allows new technical skills to be developed.

By Sumit M

Mar 30, 2020

It's a very good course to learn statistics for data analysis and data science. The instructors were great and the information they gave was just precious.

By Nick S

Dec 27, 2019

Great course to review basic statistical concepts. The added component of python was a practical way to learn python and apply it to real situations.

By Tran T T

Aug 24, 2020

The course provides basic knowledge and concepts of statistics in Python, which is very useful for someone who aims at the data science career.

By Zhibek D

Sep 1, 2020

Great course! Tons of useful materials, allocation of topics and workload corresponds to the course level and time indicated to complete them.

By CHEN(LYDIA) W

Apr 14, 2020

Very great Statistics course with hands on python experience. No matter how much you already knew, it was a great course to start with.

By Jeffrey E F

Apr 26, 2020

This is an excellent course for a basic understanding of data and data visualization. It also was a good introduction to using Python.

By Dr.R. T

Aug 31, 2020

Beneficial course I thank Coursera for providing such a useful approach with an innovative method of evaluation and problem-solving.

By Nipun J

May 30, 2020

I recommend this course to all the data science enthusiast and request to understand precisely the intricate details of this course.

By Vijay K

Feb 15, 2021

It was very helpful to kickstart my research project that involves statistical data analysis, mathematical modelling and simulation

By Walt T S L

Nov 20, 2020

Great introduction to statistics, applied using Python Jupyter Notebooks. Python Code was comprehensive and enabled easy following.

By Somphong P

Jan 30, 2021

Great mix of theory and practise!

The learning material, provided by the lecturers, was presented in a pedagogically valuable way.

By Neil B

Dec 17, 2019

Now feeling a bit more confident about statistics. My anxiety in statistics is fading away. Thanks a ton for this amazing course.

By David P

Feb 14, 2021

A really good course!!! I learned so much and enjoy it. Its a really interactive course and all the concepts are clear presented

By Loukas P

Dec 29, 2020

Excellent presentation of the abstract topics of statistics, with concrete, practical applications that are actually useful!

By Ramendra P

Jun 3, 2020

Explained and discussed every concept of statistics and applied python codes in statistics concepts very well.

Thank you UofM