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

4.5
stars
24,558 ratings
5,516 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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4376 - 4400 of 5,466 Reviews for Introduction to Data Science in Python

By Haoyu X

May 3, 2020

good but the online notebook version is a little bit older

By Mike B

Oct 11, 2017

Good, basic introduction to basics of the Python language.

By Ho Y C

Jun 12, 2017

The exercises are good for thinking and learning of python

By David A D A

Sep 4, 2020

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

By NIMIT T

May 26, 2020

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

By Harshit Y

May 10, 2020

Assignment level is quite high as compared to content tau

By Nikhil Y

Dec 13, 2018

Thank you Coursera for providing such a wonderful course.

By Christopher R J

Aug 24, 2018

It is a best introduction about python and analysis data.

By Harmandeep K

May 31, 2018

Should make assignments more like a real business problem

By Ricardo W B

Oct 1, 2017

Some of the assignments require too much time to complete

By Amit m

May 15, 2017

Good introduction. Hoping to see an intermediate course.

By Diego M

Jul 22, 2020

Very meaningful information and challenging assignments.

By Nikhil J

Jul 17, 2020

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

By Christopher O

Jun 10, 2020

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

By Shikhar S

Sep 2, 2019

Quite good, i wished they included more pandas functions

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