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

4.5
stars
22,794 ratings
5,109 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 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

AU
Dec 9, 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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4601 - 4625 of 5,032 Reviews for Introduction to Data Science in Python

By Abdul H R

Apr 23, 2020

This course needs more practicing session. There are a lot of lecture but not enough practice.

By Sudharshan C

Oct 28, 2020

The assignments can be better structured. I found it tough to navigate and perform operations

By Chaithali B

Jun 16, 2020

I had really tough time submitting the assignments but overall the course was good.

Thank You.

By Varun R

Mar 27, 2019

Too hard for beginners in programming. They should mention this before we pay for the course.

By Harshit D

May 25, 2018

Assignments are great! They will force you to learn. The professor and lectures, not so much.

By Patavee M

Mar 22, 2017

Please provide more lectures. We depend on self-learning more than lectures in order to pass.

By Ahmed W

Jun 6, 2020

Needs more focus on Python. It needs an advanced level in Python libraries "Pandas & Numpy"

By Timothy P P

Aug 15, 2018

It's stuffed. I had to review the videos over and over with subtitles and had to read a lot

By Philip H

Mar 15, 2017

Difficult. I cannot recommend this course to everyone but just technically minded people.

By Md A A S

Jun 13, 2020

Include some theory part in this course,as this is introductory course for data science.

By STEVEN V D

Nov 13, 2017

Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.

By Surya G

Aug 24, 2020

Great course but not for beginners and also i felt the lectures were short and rushed

By Subhajit B

May 18, 2020

It was too fast paced and I had to a lot of homework myself after the video lectures.

By Saul S

Dec 27, 2019

Could have been far better thought out, and the content is not particularly engaging.

By Vignesh M

Jul 10, 2020

The assesment part is too difficult compared to concepts explained in the lectrues.

By Gunjan C

Jun 18, 2017

A very good course, but found it a bit monotonous. Assignments were good (and tough)

By Ting W

Sep 18, 2019

Contents of the class are limited, more details and examples will be more helpful.

By pranay b n

Mar 28, 2019

Nice course but just by referring to videos answering the assignments is difficult

By Rahul N

Mar 21, 2020

Good Course, but felt that the instructor goes too fast on some difficult topics.

By Seyed S F

Oct 6, 2020

Thank you all. I think Coursera's platform is a little confusing for this course

By Joachim S

Jun 21, 2020

Technical issues in the assignments makes the course harder than it needs to be.

By Peter D

Apr 2, 2018

The course assignments were very tough for me, much harder than I anticipated...

By keith h

Apr 29, 2017

a decent introduction into the world of python dataframes via the pandas library

By Oswaldo C

Jun 29, 2020

You have to make a lot of research on pandas documentation to do the assigments

By Chiang Q

Jun 27, 2020

Typical school concept. Lessons level 1, quizzes level 3, assignments level 50.