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

4.5
stars
26,999 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

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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.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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4726 - 4750 of 5,941 Reviews for Introduction to Data Science in Python

By ANGEL A L B

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Jul 31, 2017

It has its problems, but it's a great start to Data Science

By bret r

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Dec 3, 2016

Good content - some prior knowledge of pandas is important.

By Sanjay S

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Aug 6, 2020

This was a good course. I recommend it. I learned a lot.

By Abir H R

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May 10, 2020

videos should be a more informative and Very hard exercise

By Haven X

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May 3, 2020

good but the online notebook version is a little bit older

By Mike B

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Oct 11, 2017

Good, basic introduction to basics of the Python language.

By Ho Y C

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Jun 12, 2017

The exercises are good for thinking and learning of python

By Neha J

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Sep 18, 2024

Quite descriptive and the assignments are really helpful!

By DAVID A D A

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Sep 4, 2020

It was a little hard for me but i learned a lot.Thank you

By NIMIT T

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May 26, 2020

it was great to learn this whole experiance is amazing: )

By Harshit Y

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May 10, 2020

Assignment level is quite high as compared to content tau

By Nikhil Y

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Dec 13, 2018

Thank you Coursera for providing such a wonderful course.

By Christopher R J

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Aug 24, 2018

It is a best introduction about python and analysis data.

By Harmandeep K

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May 31, 2018

Should make assignments more like a real business problem

By Ricardo W

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Oct 1, 2017

Some of the assignments require too much time to complete

By Amit m

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May 15, 2017

Good introduction. Hoping to see an intermediate course.

By Diego M

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Jul 22, 2020

Very meaningful information and challenging assignments.

By Nikhil J

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Jul 17, 2020

one of the best course to get started with data science.

By Christopher O

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Jun 10, 2020

It was quite great with plenty of datasets to play with.

By Shikhar S

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Sep 2, 2019

Quite good, i wished they included more pandas functions

By Thiébaut L

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May 15, 2018

A good start to learn about data management with python.

By Chuying Z

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Dec 24, 2017

A great course to experience data science through Python

By Amrita A

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Oct 9, 2017

Fast paced course but still useful if you are getting yo

By Jinbin F

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May 7, 2017

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

By Kian Y

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Aug 4, 2023

week 2 and 3 are incredible but 1 and 4 could be better