Chevron Left
Back to Understanding and Visualizing Data with Python

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

4.7
stars
2,648 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...
...

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 :)

Filter by:

551 - 557 of 557 Reviews for Understanding and Visualizing Data with Python

By Martin K

•

Jul 5, 2021

sampling distribution had too less examples but showed teachers face a lot

By Maria K

•

Dec 26, 2023

The courses is supposed to help students learn how to use Python to understand and visualize data. However, the course lacks focus on the subject as well as tasks for practicing Python code. Lack of practice. The peer-reviewed tasks are hilarious - you will be asked to describe how you'd visualize metrics in (Python you would think? No!) words. This is so easy to turn this task into something actually useful: create a notebook with preloaded data and ask students to come up with metrics and visualize them. No-one came here to practice English writing skills, and this shows in the tasks of the students. The quizzes are easy, the final quiz has all answers in hints which are not even hidden. That's actually a pretty good representation of the course creators' confidence in the students' knowledge after the course - we know you didn't learn anything, so we will just give you all the answers. Concentration on the course goal. The course is too short for trying to pack all the information in it. The last week was interesting, but if I wanted to learn about study design, I'd take a course on Study design. A lot of topics can be described as 'Understanding and Visualizing Data', and the difference between a well-designed course with thought-through structure and this course is that the good course is focused around the narrow subject (e.g. using Python for understanding the data) and delves as deep as possible instead of throw in different topics that are related to 'understanding data' in such a short course. And one last thing I would like to bring up is the students teaching in the course. I understand that it was probably the project they got credits for, and the professors thought that it's be a great practice for them. This is a great initiative, but the Coursera students actually pay for this course, and, I am sorry, but the students lectures were bad for the most part - the explanations are not coherent, the repetitions, the 'we are not going discuss that' (then please structure the lection the way the you don't use the function you don't want to explain). While it's understandable that students need more practice in teaching (they are students after all), the question arises as to why one should pay to listen to their 'end-of-the-course project'.

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.