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

4.5
stars
26,927 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

YH

Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

CB

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.

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2126 - 2150 of 5,921 Reviews for Introduction to Data Science in Python

By BULAWAN, J E ( C

Mar 20, 2020

This was an amazing course, so far. I enjoyed this one too.

By Bishad D R U

Feb 1, 2020

Excellent. I learned as like as I learned in my university.

By Ioana I

May 12, 2019

Enjoyed the assignments :) and of course the course content

By RUDRA K

Aug 20, 2018

thanks university of michigan for letting me do this course

By Maranatha C

Mar 29, 2018

i don't quite understand all the concepts but it is free :)

By Lanxin J

Jun 19, 2017

Contents included in lectures do no match assignments well.

By abdulkader h

Nov 19, 2016

I thank so much professor Brooks and the team of the cours.

By Zohaib H

Dec 16, 2023

It's good platform to empower IT skill highly appreciated.

By Davide B

Jul 30, 2023

Effective, focused. Good learning path. Very good teacher.

By Soumyadeep D

Jan 11, 2021

A bit difficult but a real eye-opener. Enjoyed the course.

By L S m

Sep 16, 2020

Excellent course and very good and challenging assignments

By Marcus H

Sep 10, 2020

Good course with nice material! Not too easy but feasible!

By Pamela H O

Jul 31, 2020

Excelente curso, muy demandante pero se aprende demasiado.

By Mohit S

Jul 28, 2020

First ever cours which actually tests the knowledge gained

By Raul X

Jul 17, 2020

An excellent course to enter to the world of data science!

By Limpat S

Jul 15, 2020

I think the tests are too hard or maybe I am just too dumb

By HARSHIT M

Jul 5, 2020

The course was very good and instructor was also very good

By Md M R T

Jun 30, 2020

Assignments modelling is really great.really learned a lot

By Abhishek A

Jun 20, 2020

The discussion forum is very very helpful for assignments.

By Sudhanshu K

Jun 3, 2020

Great course, got to know a lot about the pandas framework

By Wesley L

Feb 16, 2020

Excellent, high quality, affordable education. THANK YOU!!

By Zhiyue

Dec 6, 2019

Great practical assignment and might need more explanation

By Диана А Б

Nov 12, 2019

I like this course. The assignments were very interesting!

By Nico M

Sep 11, 2019

Great course to learn Pandas! Very challenging assignments

By Saumojit B

Aug 4, 2019

Loved this course.Too much to learn .recommending everyone