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

4.5
stars
26,897 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

YH

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.

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

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5326 - 5350 of 5,915 Reviews for Introduction to Data Science in Python

By Tobias T

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Aug 26, 2020

Good course for the basics, but the assignments are very difficult as lectures do not cover everything which is asked in the assignments.

By Greg S

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Jan 4, 2018

Great Content. Course Auto-Grader was immensely frustrating. Videos aren't very helpful except to identify where to do your self study.

By Sai S B

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Jun 19, 2020

The course assignments are at a very good level. But, I feel the course doesn't prepare you for that. Most of the work is self-learning.

By Kelsey S

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Aug 17, 2018

The examples used are so small it's hard to understand how to use these skills in real-world situations if you aren't as used to Python.

By Michal Z

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Jan 5, 2018

There should be more Pandas API hints in lectures, it ware really hard to find optimal ways to perform operations on DataFrames I wanted

By Francesco L

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Mar 5, 2017

The course lessons could have been more specific and provide more explanations on many topics that are later required in the assignments

By Jimi O

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May 28, 2019

Lectures are interesting but coursework is challenging. It requires significant external reading and understanding to stand a chance.

By Bruno C

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Jul 6, 2020

The demanded exercises were way harder than the content taught. Also, the main teacher isn't didatic, he speaks in a monotonous way.

By Morales J S

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Jun 21, 2020

is good to make students to investigate but, in the whole course i was thinking that youtube teached me more than the course itself.

By Sergey S

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May 9, 2020

It is a bit messy. There are bugs and the sytem of ex submission is not really well done. There is a problem with the certification.

By MS

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Oct 2, 2020

The instructions are well and clear. I wish we were given more examples and the data files to play with. Overall enjoyed the course

By Cedric R

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Oct 31, 2019

First Assignment was pretty unclear where to find or what to do. Makes no sense to explain it the week after from my point of view.

By Taylan T

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Oct 16, 2019

The instructor just reads the notes in front of the camera. The lectures are boring and uninspired. I do not recommend this course

By Muhammad S H

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Jul 12, 2022

you end up learning a lot by the end but the assignments require a lot more self-learning than what was provided in the lectures.

By Feroza A

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Oct 6, 2019

Assignments should relate to what is discussed in class, too much of what is in assignments is not clearly explained in the class

By Ankur J

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Oct 16, 2019

Content was excellent but pace was fast and gave a feel of robotic lecture as the code in jupyter was also flowing like anything

By Artium B

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Aug 8, 2019

course material is not explained in a way that teaches good coding skills, and many missing material to complete the assignments

By Anshupriya S

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May 3, 2018

I liked the first course more. I think that the content was not explained as well as Dr. Chuck did in the introductory course.

By ALONSO A R P D A

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Jun 1, 2020

The videos are good but aren´t sufficient to teach ways to do the assigments, this way assigments bring in hard things to do

By manya g

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May 14, 2020

the instructor has not explained the codes properly at many places. it seemed like as though he was just reading the codes!

By JINSEOB S

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Nov 26, 2018

if you are a beginner, this course consumes a large amount of time.

Though it is helpful, you need more efforts than thought

By Dimal D

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May 15, 2020

Overall pace of the course was more compared to other courses and doing assignments with limited resources was a challenge

By Mohamed E A B

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Oct 26, 2019

I have found some issues with the grader where it inputs correct results in the assignment, but the grading keeps failing.

By Markus B

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Dec 2, 2017

The course materials is very good but very fast. The assignments (especially the last one) could be a bit better explained