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

4.5
stars
27,081 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

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

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

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4576 - 4600 of 5,951 Reviews for Introduction to Data Science in Python

By Bhawani P M

Mar 7, 2018

Great course to start career as a data scientist. Crisp, clear and concise course.

By Jiunjiun M

Jan 30, 2018

Homework should be better designed to provide more specification and better hints.

By Shubham P

Feb 12, 2017

Please make longer tutorial videos. Sometimes it becomes too fast to cope up with.

By Luca P

Apr 20, 2023

I find the assessments quite though.

Previosuly coding experience is really needed

By 김민욱

Jul 26, 2020

I think that if you give more guide for programming assignment it would be better

By yash m

Mar 8, 2020

This course has some really great exercises that aim to give practical knowledge.

By Jan P

Dec 18, 2016

I recomend

Introduction to Data Science in Python

it is a good piece of knowledge

By Jarin t t

Aug 31, 2020

The course content was really good, but the assignments seemed much hard for me.

By Amori H

Nov 5, 2019

Sometimes I just don't know which part of my answer is wrong and why it is wrong

By William L

Apr 17, 2022

The assignments are a bit difficult especially assignment 1 with a lot of regex

By Mario

Sep 10, 2020

Great course but a little bit outdated, with some assingments poorly explained.

By kavitha m

Feb 25, 2019

please give some more material for self learn that would help in assessment too

By Jeff B

Oct 6, 2018

Solid introduction to the most commonly used data analysis toolchain for Python

By Richie M

Jan 1, 2017

Great course, it would be nice to have more interaction and feedback from TA's.

By Jai c P

Dec 28, 2016

course was good but teaching material was not enough to complete the assignment

By Swapnil G

Dec 13, 2016

Assignments needs slight polishing. Otherwise course delivers what it promises.

By Shalha M B

Jan 25, 2022

This courser is one of the best course to learn data science according to me.

By Lionel P

Aug 24, 2021

Very good course. Sometimes the quiz questions were ambiguous. But it is fine.

By Ahmad B S

Jan 18, 2021

Very good course. I'd give it 5 if the assignment requirements are more clear.

By alvaro e a g

Oct 24, 2020

Hands on projects with a little feedback and a lot support from the community.

By kamisetty h

Jun 1, 2020

It is a good course but it would be better if they involve some more excersise

By Jiaqi

Dec 21, 2016

通过这个课程,学习了pandas和jupyter noterbook,都是非常好用的工具。作业很有挑战性,但是遇到问题都是自己解决,助教提供的帮助比较有限。

By Timo K

Apr 28, 2021

Very good course, but it took much longer for me than the estimated 31 hours

By 贺世哲

Feb 29, 2020

It's a nice course. But it's quite difficult for me to finish the assignment.

By Nihat I

Dec 7, 2019

It will be excellet if we can get more resources for learning. Thanks a lot .