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

4.5
stars
26,948 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.

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

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5726 - 5750 of 5,925 Reviews for Introduction to Data Science in Python

By Cunyuan Z

Jul 9, 2019

Lectures are useless. But the assignments CAN BE pretty good practices

By Jair G

Jan 13, 2018

I felt lost using Python as a data analysis software with this course.

By yunxin y

Dec 2, 2021

Too difficult as it was largely self learn + memorization, unguided.

By Louis c Y

May 16, 2022

quite challenging to understand with lecturers assuming you know all

By pouya g

Jul 1, 2019

the corrector system was very bad and i m not undrestod my mistake

By Hussain

May 1, 2020

Very fewer video lectures and I felt Assignments to be very hard

By Rishi B

Jul 22, 2018

I found the teacher boring, but his teaching was a little fast.

By Akansha M

Jun 1, 2020

for an introduction course it was just too much to understand.

By Nishant B

Jun 13, 2018

Very fast paced and concepts explanation was not upto the mark

By OdmaaByambasuren

Nov 5, 2020

Too general. I was expecting more to learn from this course.

By shailja

Jun 1, 2020

very tough tutorial is easy but assignment are very tough.

By Sean E O

Nov 5, 2022

Assumes a fair bit of underlying knowledge prior to start

By Satyam c

May 25, 2020

assignments are tough. didn't expect too much high level.

By Shivani P

Jul 9, 2019

The lectures were not enough for the assignments provided

By Alejandro P A

Dec 22, 2017

Good content but too fast pace and confusing assigments.

By Camilo E A P

Aug 27, 2019

Jupyter notebook for assignments do not work properly.

By Sayali B

Jun 20, 2018

The questions are very hard and not covered in training

By Deepalakshmi K

May 23, 2019

Dint teach anything used in the assignments properly

By Chris H

Mar 22, 2023

not practical - no student interaction. just videos

By Abdullah B

Sep 10, 2022

Not enough resources to solve the assignment.

By Joao V O C d B

Jul 27, 2020

The problem is the lack of practical exercises

By Christalin D

Jun 21, 2020

It's asking for money to continue the course

By Hari S S

Jul 30, 2020

A bit more motivation needed in this course

By W N

Nov 27, 2016

Good material, let down by instructors.

By laxmi n r j

Sep 3, 2017

Its too fast paced and less elaborated