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

4.5
stars
26,898 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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4176 - 4200 of 5,915 Reviews for Introduction to Data Science in Python

By Kristin K

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Sep 20, 2017

A challenging and fast moving course. I recommend studying up on basic python before taking the course and to pause the videos often to understand each piece.

By Adelson D

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Feb 12, 2017

The course is very good to introduce people with pandas usage, however, the autograder and little data issues on the assignments costs a lot of learning time.

By Xuening H

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Jan 8, 2020

The assignments is awesome!

But it requires too much self learning.

The course will be better if the professor can teach a little bit more about the functions~

By Dalton P

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Dec 28, 2017

Excellent instructor with high level talk that goes into the details just enough. Recommended to have some programming experience but you can get by without.

By SYAHRUL F

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Jul 14, 2020

The course explained in brief, rich in theory but not much in practice, so a lot more individual learning is needed more than the time taking of this course

By Bryan R

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May 26, 2019

This course is a fairly good introduction. Expect to spend a good amount of time searching forums for guidance on completing some of the weekly assignments.

By Deleted A

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Apr 22, 2018

The coursework was amazing but if the student start without having strong python knowledge, it can turn out to be very difficult especially the assignments.

By Chunxiao L

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Apr 4, 2018

I like the assignment a lot, but the course material part contains too many talking. I would like to suggest it includes as much as coding, and less talking

By agenis-nevers

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Jan 4, 2019

Good course.

Some trouble with the assignments, difficult to understand what's wrong with one submission (could be good to have someone look at your code).

By Jim K

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Feb 18, 2017

Nice course. I really liked how I could proceed at my own pace. The computer-graded assignments were very helpful and the Forums were good sources of info.

By John S

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Apr 8, 2023

Will require a lot of individual research and working through the finicky lab grading system, but it's worth it if you want to learn the basics of python.

By Mario K

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Oct 13, 2018

Some task descriptions in final assignments were not fully clear so I had to resubmit my work to pass. Otherwise, was good to refresh my pandas knowledge.

By Salamat B

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Feb 13, 2018

Content of this course is very practical and good. I find it bit difficult to understand language since explanations are fast and contains a lot of terms.

By Robert P

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Apr 10, 2020

Great intro to handling data with python tools. I love the fact that "why" is answered and not just "how" to do your research. Easy to listen and follow.

By Jithesh K B

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Feb 9, 2020

Very good course and I learned all the new stuff like pandas, numpy and hypothesis testing etc. Assignments were very good to concrete my understandings.

By Jose P

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Nov 14, 2018

Good introductory course, challenging to basic level and forcing to use new technics and think out of the box. Recommended for first contact with Python.

By Syncace

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Apr 21, 2022

Overall it is a very good course. However, it seem that the programming assigemnet requires more instruction and the quiz requires a lot of self study.

By John A M

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Jul 23, 2017

Maybe 3.5 stars, the material is good, but unless you are active in the forums (and others are as well), the assignments can be frustrating to complete.

By Michał K

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Jun 3, 2017

Very well prepared. 4 stars because it only scratches the surface of data wrangling with Pandas. I'd love to see more comprehensive course about Pandas.

By Raghav B

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Oct 21, 2020

Some of the assignments were very hard compared to what what our instructor teaching,

Our instructor teached us well but the assignments very quite hard

By Rashmi k

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Apr 29, 2020

I feel, lessons are very brief. Should have some better coverage of topics. Assignments are good to challange your mind. Overall it was good learning .

By Patrick L

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May 13, 2018

Very good introduction to data science with python (numpy, pandas).

Only negative aspect is that the assignment questions are sometimes not unambigious.

By Aritro S R

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Jul 15, 2017

The lectures can include anecdotes & more relevant examples to make it more interesting. The notebokks & assignments are very well designed. Thank you!

By Pranav M

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Jul 17, 2021

Good course material, covered every topic in depth. A bit fast paced so need to give due time to each video lecture as they contain a lot of material.