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

4.5
stars
26,999 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

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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.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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4426 - 4450 of 5,940 Reviews for Introduction to Data Science in Python

By Jessica S

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Nov 12, 2017

Good teaching and learning but quite a lot of personal work and the examples are all but fun to work with.

By shoeb k

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Jun 14, 2017

Good to start on Data Science covers a good starter point, giving a practical approach and theory as well.

By John M

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Oct 17, 2022

Very good course overall, but the course pace is a bit fast and could break week 3 into two weeks instead

By Joseph R

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Sep 13, 2021

El curso es bastante bueno y tiene buenos contenidos. Revisar las instrucciones en la asignaciones 3 y 4.

By Sergio R E K

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Sep 5, 2020

I had a great time learning the contents, but I feel some of the lectures were too fast, at least for me.

By Avneet K

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Aug 14, 2020

Content,Assignments and Tutor were Excellent but More Explanation about each topic would have been better

By Vinh T

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Jan 26, 2017

good when it's been around for a while, else frustrated with a lot of unclear instruction and no support.

By BRIONES, D M (

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Jun 26, 2020

Very helpful and convenient, although some assignments required multiple runs to get the desired results

By Radu B

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Jun 11, 2017

Assignments were not specific enough about their requirements and how they will be tested for the grade.

By Bill G

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Feb 24, 2020

Students need more than basic knowledge in Python. Need intermediate to advanced skill level in Python.

By Tomasz S

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Jan 26, 2018

Very interesting.

Scope of video lectures should better covers skills necessary to complete assignments.

By Gallina S

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Sep 2, 2021

Week 4 should be expanded and ttests should be explained a bit better. Otherwise the course is great!

By harendran

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Jul 26, 2020

Good course but need to explain programming concepts in detail,very difficult for beginners to follow.

By Nirman N R

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Jun 22, 2020

This course can be made best by adding details of every variable and how to use it in a random project

By Mohd. S

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May 29, 2020

Assignments are harder than what is taught in the course lectures. Otherwise a good course.Go for it.

By Artem K

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Jun 16, 2018

40% of assignment time I was fighting with autograder. I hope course team is going to solve thus issue

By L G

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Apr 14, 2018

A fair introduction with good exercises, but the questions in the homework can be more clearly stated.

By pp

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Sep 8, 2021

might need about more on applicable functions of pandas. practice examples are good for fresh people.

By VENKATA S S R T D

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Jul 19, 2021

Course is not much difficult but, learnt many important techniques in organizing and processing data.

By Muhammad U K

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May 6, 2020

Assignments are a bit tough and are not explained thoroughly in the videos other than that, its great

By Daniel H

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Jun 17, 2019

The automatic grader is very frustrating. It struggles to compile things that shouldn't be a problem.

By Tobias G

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Apr 7, 2018

The assignments are very interesting but the course materials should give more examples and guidance.

By Ciro F I B

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Mar 18, 2017

Will be useful to take the Phyton Cpurse before this one. You only learn when you do the assignments.

By Erik K

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Feb 6, 2017

Basically assignments were unclear (I had to do lots of resubmissions), but everything else was fine.

By Juan M E

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Jul 10, 2020

It could be better if assignment submission were more friendly instead of exact answer like a robot.