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

4.5
stars
27,271 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

NF

Jun 17, 2018

I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

ME

Jul 26, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

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4876 - 4900 of 5,994 Reviews for Introduction to Data Science in Python

By REJANO , S C (

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Dec 26, 2020

Some supplemental files lack some details.

By CHAKRAVARTHULA A

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Sep 14, 2020

Tough for beginners, but hardwork pays off

By Ashutosh R

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Jul 24, 2020

It was nice platform to learn data science

By Kokul R

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Jun 25, 2020

It's more self-learning. can practice more

By Siddhant M

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May 10, 2020

try to explain more in the course material

By Ehtisham S

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Mar 11, 2020

write python code in easiest possible way.

By Willian R S

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Aug 11, 2019

Poderia ter mais exercĆ­cios para praticar.

By PREDEEP K

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Oct 30, 2018

Assignments gives more practical knowledge

By ayush k

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Jun 22, 2018

amazing course and great deal of knowledge

By Siddakka S

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Jan 9, 2021

I enjoyed the course and its very useful.

By Agamjot S R

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Jul 10, 2020

good course, helps in enhancing knowledge

By Ansita A P

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Jul 6, 2020

It was nice to learn from here, Thankyou.

By JAYDEEP B

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Mar 19, 2018

Too Tough for the assignments to complete

By Harshavardhan R

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Nov 3, 2016

Great pace for intermediate level people.

By RAMYA D K T

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Sep 27, 2020

Learnt a lot .It is useful for my career

By santanu b

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May 27, 2020

Explanations are too less in each module

By Bipin Y

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Apr 16, 2020

The questions were harder than expected.

By Andreas H

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Mar 29, 2020

Translation into german would be helpful

By Mengjie

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Mar 22, 2020

a little difficult for meļ¼Œbut gain a lot

By Dr. D S A

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Dec 13, 2019

The Assignments are little bit difficult

By Chethan L

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May 27, 2019

Course content is excellent and helpful.

By Zhong H

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Nov 21, 2017

Basic information about numpy and pandas

By Devashish N

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Feb 12, 2017

Nice course for understanding the basics

By Sean M D C S

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Jan 4, 2021

Very good course with great instructors

By NIKKETHAN R

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Jul 3, 2020

Excellent course and somewhat difficult