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

4.5
stars
24,714 ratings
5,543 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

SI
Mar 15, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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4426 - 4450 of 5,488 Reviews for Introduction to Data Science in Python

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.

By Abhinav A

Sep 10, 2018

The pace of the course could have been a little low.

By Wang Z

Nov 6, 2017

Videos are a bit short without detailed explanation.

By Rodolfo D

Dec 17, 2020

Muy bueno y practico para comenzar en este entorno.

By Niraj P

Jun 4, 2020

Really effective in building my python programming.

By Ujwal G

Mar 22, 2019

assignmentds are much harder than d course content.

By Dale S

Jun 18, 2017

Great way to learn about Pandas, Numpy and Jupyter!

By Deep C

Nov 29, 2019

This course is advance level but very informative.

By Ali A

Jan 24, 2019

Good for people with prior programming experience.

By Rishikesh K

Jul 4, 2017

The instructions for assignments need more clarity

By YASH B

Aug 24, 2020

Content is good and the assignments are on point.

By Aditya S

Oct 25, 2019

The assignments were quite tough and challenging.

By Nandakumar P

Jan 26, 2019

Really very mush useful for all the data analyst.

By Alok S

Jul 6, 2018

Great content and explanations to novel concepts.

By luiz.cunha@axa-im.com

Mar 21, 2018

A very good course as introduction to Datascience

By Lionel C

Nov 28, 2017

Great for learning python basics for data science

By Waqar Z

Apr 7, 2017

This is the good course for learning data science

By Alluru M

Oct 10, 2020

really helped in improving skills in our carrier

By ADARSH G

Jul 26, 2020

The course should provide with some more videos.

By JAYANTH T

May 24, 2020

It is one of the best course of data science...!