Chevron Left
Back to Introduction to Data Science in Python

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

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

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.

Filter by:

1101 - 1125 of 5,951 Reviews for Introduction to Data Science in Python

By Victor V

•

Aug 27, 2019

Really good introductory course to data science using python. I immediately applied what I learnt to my internship and completed my tasks effectively.

By Jeremie A

•

May 1, 2018

Excellent course helping you to master all the tools to transform and manipulate data with python / pandas. Essential 1st step for any data scientist!

By Anendra G

•

Apr 30, 2018

Wow ,

How beautifully each concept has been described.Will definitely recommend recommned this to my friends who are seeking a career In data science.

By Pulkit L B e

•

Sep 10, 2020

A great course to get started with data science with python!! The course is well-structured and gets you accustomed with the pandas library in depth.

By gabriellacatalano

•

Mar 24, 2020

it was a great course, with all the basics you need to start working in python. assignments are well structured and useful for step-by-step learning!

By Alan T

•

Mar 18, 2019

Teaching is great.

Questions are too ambiguous sometimes I do not know what is the requirements of the answers.

Anyway, I still learned lots from here.

By Suprianto

•

Oct 4, 2018

This course is great course for me, give me basic knowledge in Python Data Science. I will implement this Python new skill on my next Python project.

By Carlos F P

•

Aug 9, 2018

The autograder may have some issues that make this course tougher but don't get discouraged, it is a great course to build your python/pandas skills.

By Shawn C

•

Aug 17, 2017

Really useful class. Even as someone who uses Pandas regularly I learned a great amount in this class; one of the best Coursera classes I have taken.

By Alexander T

•

Feb 12, 2017

Very good content. Challenging assignment that force you to learn more yourself rather than just apply what you've heard and forget it in 10 minutes.

By Rajarshi B

•

Jan 29, 2017

One of the best Courses I have done online. Took me back to basics and gave the best possible introduction to python which was beyond my expectations

By Samukeliso D

•

Aug 8, 2021

I would like to temporarily unenroll the course and pursue Programming for Everybody (Getting Started with Python) to grasp some programming basics.

By David J

•

Sep 8, 2020

This course takes a lot of dedication and applied debugging, I enjoyed it a lot and learned a lot of useful skills on working with Data with pandas.

By Ryan G

•

Jul 30, 2020

This course focus more on assignement, which require a lot of self-study. Meanwhile, the discussion forums are very useful and responses are prompt.

By Saqibur R

•

Apr 9, 2020

One of the best data science courses on Coursera. Recommended for all who want a hands-on approach to data science while working on real-world data.

By Eugen N

•

Oct 21, 2017

Excellent. You should already have some experience with Python and Machine Learning before you start this course. Learnt quite a lot about Pandas...

By Scott C

•

Aug 12, 2017

A well taught and challenging course. In completing the assignments and projects, it took real effort. I feel I really learned a lot in this course.

By Mandy

•

Jul 17, 2017

Great course. The course material is well-explained in lectures – although at a somewhat low pace – and I really enjoyed working on the assignments.

By Sergii A

•

Feb 22, 2017

Great course. You should really work hard to pass all the assignments. Tons of practical expirience in pandas. Looking forward for the next courses.

By Stephen B

•

Dec 16, 2016

Great course! Dr. Brooks provides a nice and accessible introduction to Pandas, and the assignments are helpful and problem-based. Highly recommend!

By Arthur A B P

•

Apr 3, 2022

A solid introduction to dealing with data using python. A gentle introduction to numpy and regex. A hands-on introduction to key aspects of pandas.

By Parthapratim S

•

Oct 6, 2020

Great Course.

Only things is that I have some conflict with some of the question. Would be great if there is any way we could look at the approaches

By Harshit G

•

May 22, 2020

The course is fantastic. The only thing I want is that the discussion forum could be more organized, it will help students and instructors as well.

By Ghaisani K W

•

Mar 13, 2019

I'm a super beginner in Python and this course really elevates my Python skill from 0 to 4 (at least and also, I'm not a very good programmer tbh).

By Raunak P

•

Mar 30, 2018

One o the best and interactive course or Python and Data Science you can ind online and that too with minimal price, thanks Andrew N and Coursera!!