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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

4.5
stars
26,558 ratings

About the Course

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Top reviews

PK

May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

YY

Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

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5351 - 5375 of 5,822 Reviews for Introduction to Data Science in Python

By Thomas G

Sep 25, 2019

It's really informative, but there is too little instruction in my opinion.

By Jens R

Nov 28, 2018

In my point of view, the lectures and the assignments are not well matched.

By Jai L 1

Apr 13, 2020

Tutotial videos of jupyter are very fast and need much time to understand.

By Srikanth G

Nov 10, 2019

It would be nice if we have more explanation for questions in Assignments.

By Shiva K

Jul 23, 2020

Very fast explanation and coding is also very fast and hard to understand

By Wong L C

Nov 14, 2018

Overall is good but the contents seem to be a bit difficult and too rush.

By Premjith B

Nov 21, 2016

The assignments were good but it was a lot of time spent with the grader.

By Eric L

Mar 20, 2021

submitting the assignments with the autograding is extremely frustrating

By Thi T H N

Aug 22, 2019

The course is not well organised. However, the projects are interesting.

By Ryan S

Nov 22, 2017

homework format of outputting values from functions needs to be improved

By Abhishek P

May 10, 2020

Course way too easy and has quite less information/knowledge to offer.

By Shivam P

Jun 26, 2020

The assignment is too difficult compared to what they teach in course

By tushar s

Jun 20, 2020

Not providing in-depth knowledge of functions through video lectures.

By Chirag S

May 18, 2020

Expected a detailed explanation instead got a very brief explanation.

By Christopher C

Mar 30, 2020

Only a few resources. Each Jupyter Notebook lack context and comments

By Stefani N

May 29, 2018

I think the assigments are a bit difficult for an introduction course

By Jaepil L

Mar 26, 2018

nice intro, but requires background knowledge and self-study,,,,a lot

By Thanasis M

Aug 26, 2017

Very handy exercises, but the lesson lacked in examples and guidance.

By Cunquan Q

Mar 11, 2020

Too quickly for me! I need to stop and type the codes on my laptop!

By nitish k p

Jun 15, 2020

the course should be updated and assignment questions are unclear

By Azadeh T

Jun 8, 2020

The assignments are waaaay more difficult than the class material

By Subiksha P

Jun 3, 2020

Last week assignment involved topic which was not taught in-depth

By Torsha M

Sep 4, 2020

It has helped in building data structure and understanding of so

By riffault f

May 12, 2019

I would like to have more precisions during the video courses

By Tan L M

May 13, 2020

Course assignment is not on the same level as content taught