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

4.5
stars
24,688 ratings
5,539 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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4301 - 4325 of 5,483 Reviews for Introduction to Data Science in Python

By Antoine W

Feb 16, 2020

Learned a lot, but you constantly have to fight against the autograder

By Rajib M

Oct 9, 2019

Course content is good but the explanations need to be more elaborate.

By Sushma R

Sep 24, 2019

Feel too difficult to finish the tasks as they are little complicated.

By syed h

Jul 24, 2019

Good Course but need to improve in conceptual explanations and visuals

By Carl W

Jan 14, 2019

I like the use of the Jupyter notebook. Don't have to wait for grades.

By Iván C S R

Oct 9, 2018

Good course to start understanding the usage of Pandas in Data Science

By Pragya A

Aug 6, 2018

good...but it could be more detailed..in order to better explaination.

By 倪睿阳

Jul 1, 2018

Helped me acquaint with Python and Basic Data manipulating techniques!

By Jarrett C

Nov 20, 2016

This course is a challenging (and solid) introduction to using python.

By Guilherme M S F

Sep 28, 2021

T​he only thing I suggest is to change the assigments to be more easy

By Debasish C

Jun 14, 2020

This course is very helpful to the introduction of data science world

By Shiv K K

Dec 28, 2017

Was extremely difficult to get the responses to all the assignments!!

By Ishita A

Apr 24, 2020

A little difficult for a beginner to follow but the course was good.

By Jagrut N S

Jan 18, 2020

It's really highly detailed and very good course for Data Scientist.

By Usman A

Apr 7, 2019

brilliantly maintained and organized courses , but not for beginners

By Deleted A

Jun 27, 2018

A good python intro to familiarize with basic data science packages.

By Kartik S

Jun 6, 2018

Outstanding course to get a kick start in the field of Data Science.

By Chinmay P

Dec 22, 2017

Was a good course that touched up most of the basic python concepts.

By CHAKSHU G

Jan 18, 2017

Finding optimal solutions for the assignments would have helped more

By Laura V T T

May 16, 2021

Great introductory course, easy to follow and challenging exercises

By XIAOYING W

Feb 3, 2021

I think some feedback on assignments would be helpful for progress.

By yotam h

Mar 22, 2020

great course! highly recommended if you like struggling by yourself

By nitin R

Mar 19, 2020

Course content is really good but can be explained in a better way.

By Vishen M

Oct 18, 2017

Really enjoyed. Assignments take a lot of time, but you learn alot.

By Ariana S C

Aug 17, 2017

Assignments need to provide better feedback when there is an error