Name: Introduction to Data Science in Python
Brand: University of Michigan
Availability: OnlineOnly
Rating: 4.5 (6035 reviews)

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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

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.

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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5501 - 5525 of 5,951 Reviews for Introduction to Data Science in Python

By Galen S

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Sep 26, 2017

Thought assignments could have been better designed

By Michael T

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Dec 27, 2016

To much disconnect between assignments and lectures

By Samuel L

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Jun 4, 2020

Please update the course pandas and numpy version!

By Vignesh R M

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Jun 5, 2020

Assignment questions are not clearly communicated

By Bindu G

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Aug 22, 2018

assignments are too long and videos are too fast.

By Kalashnik A

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Apr 29, 2018

The quality of the testing system is really poor.

By Qinling Y

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Oct 2, 2018

The assignments are stimulating and interesting.

By Taha R

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Jun 2, 2018

Clear lectures. But assignments need to improve.

By F B

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Mar 12, 2021

This course provides a superficial introduction

By Rene C

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Jul 9, 2023

Assignments are not at an introductory level.

By Vinay K V

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Jul 16, 2020

Course assignments are bit tough make it easy

By Mohamed A

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May 21, 2020

Kinda fast paced and needs more explanation !

By Kondamudi S C

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Aug 2, 2020

The instructor taught this course very fast.

By Chen L

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Apr 5, 2017

More programming details should be included.

By Pravin A J D

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Dec 9, 2018

can be made a bit detailed course on Python

By Maxim P

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Jul 14, 2018

less talking more usefull guiding is needed

By Rohit R

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Jul 12, 2020

Lecture explanation could have been better

By Jin H

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Oct 15, 2017

Good materials but video doesn't help much

By Oleg K

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Nov 4, 2018

Compare to Machine Learning from Stanford

By Shraddha K

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Mar 2, 2019

More elaborate lectures would help more!

By 丁浩然

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Oct 7, 2018

The assignment is a little bit hard....

By Lina H

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Mar 27, 2022

Good for beginners in pandas and numpy

By COMP-25 N S P

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Jun 15, 2020