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

4.5
stars
25,890 ratings
5,765 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

YY

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.

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 5,715 Reviews for Introduction to Data Science in Python

By Thiébaut L

May 15, 2018

A good start to learn about data management with python.

By Chuying Z

Dec 24, 2017

A great course to experience data science through Python

By Amrita A

Oct 10, 2017

Fast paced course but still useful if you are getting yo

By Jinbin F

May 7, 2017

It is a good course, but a little difficult for a newer.

By Santiago E F T

Apr 10, 2021

The task are really hard even for a intermediate level

By Sneh P

Sep 26, 2020

This course is best but lectures are little bit faster.

By PRIYANSHU C

May 19, 2020

some assignment questions are too hard but informative.

By Paarth B

Apr 23, 2020

the pace and speed of teaching is fast according to me.

By Marco Z

Feb 11, 2020

The final tests are problematic in the evaluating phase

By Saransh G

Aug 1, 2019

Assignments are too complex for beginners to understand

By shaif t

May 28, 2017

Course was good , i wish number of exercises were more.

By Nicolas M

Feb 8, 2017

Assignment time estimations were way off in my opinion.

By Joaquin S H

Feb 6, 2017

Was good but the support in the forums could be better.

By Kanakan M P

Jun 28, 2022

Good content to learn basics of python packages usage.

By Prahlad S

Feb 3, 2021

excellent course and hands on learning and assignments

By Nishal

Nov 13, 2019

Good intro to using pandas and going through datasets!

By Chris R

Aug 25, 2018

Great delivery and assignments inline with curriculum.

By Kay F

Feb 11, 2018

assignments and week books were not that good aligned.

By Sai G S

Jun 17, 2020

Good Course for a beginner, but needs lot of patience

By Patrick

Nov 30, 2016

assignment is really hard, takes me 30 hours at least

By Anusha P

Sep 17, 2020

Very Good course for those who wants to learn Pandas

By Divya s

Jun 1, 2020

it was a good course overall for a beginner like me!

By Mohammed E A M

Mar 8, 2020

Many times I found it hard to understand the problem

By Sam M

Sep 14, 2019

Great Intro course into both Data Science and Pandas

By Alfredo E d l T

Sep 22, 2018

A very course. Only little problems with autograder.