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

4.5
stars
22,445 ratings
5,028 reviews

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 10, 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

AU

Dec 10, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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4576 - 4600 of 4,957 Reviews for Introduction to Data Science in Python

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 27, 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 12, 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 08, 2020

The assignments are waaaay more difficult than the class material

By Subiksha P

Jun 03, 2020

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

By Torsha M

Sep 04, 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 14, 2020

Course assignment is not on the same level as content taught

By Alessandro M

Jul 28, 2020

Very good assignments shame the video lessons are very poor

By Asheesh L

Jan 28, 2019

Course was ok. Submission of assignments is really painful.

By Rounak C

Apr 28, 2020

Amazing content but needs to be a little more structured

By Giorgi B

Apr 19, 2017

Much more difficult assignments than taught in lectures

By Swathi P P

Jun 02, 2020

this course could have covered much more deeper topics

By Himanshu s

May 29, 2020

Its very useful for me. thank you so much for help me.

By Viren V S

Jun 07, 2020

Need basics to be cleared before entering this course

By Galen S

Sep 26, 2017

Thought assignments could have been better designed

By Michael T

Dec 27, 2016

To much disconnect between assignments and lectures

By Samuel L

Jun 04, 2020

Please update the course pandas and numpy version!

By 18P917 V R M

Jun 05, 2020

Assignment questions are not clearly communicated

By Bindu G

Aug 22, 2018

assignments are too long and videos are too fast.

By Anna K

Apr 29, 2018

The quality of the testing system is really poor.

By Qinling Y

Oct 02, 2018

The assignments are stimulating and interesting.