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

4.7
stars
2,642 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

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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551 - 556 of 556 Reviews for Understanding and Visualizing Data with Python

By Jinglin “ C

•

Mar 3, 2024

Good statistics content, but it is not interactive and the testing is weak. Python learning is extremely unforgivable. There are no step-by-step videos, and no theory explanation either, which makes understanding python syntax and functions (particularly in the context of data science) extremely difficult. As someone with an advanced java background, I expected the python learning to be smooth. Unfortunately, I was thrown into the deep end with no life jacket, as the course went from basic variables to creating scatterplots and manipulating datasets in less than a day. This wouldn't be as bad if there were video instructions, but there are none. The "interactive labs" are not interactive, but rather, are just vague notes that don't truly teach or test you on anything. After completing week 2, I left with nothing other than 5 hours of wasted time.

By VENIGALLA N S V J

•

Jun 6, 2020

My final course certificate not received, even after completing all 3 courses.

By Farzad F

•

Feb 3, 2023

Very bad course

do not waste your time

By Sakir I

•

Mar 12, 2021

didn't learn anything

By Jess H

•

Feb 19, 2022

NOT for beginners!

By Henry C H T

•

Aug 13, 2020

Too boring.