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
26,898 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

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

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:

5726 - 5750 of 5,915 Reviews for Introduction to Data Science in Python

By Satyam c

•

May 25, 2020

assignments are tough. didn't expect too much high level.

By Shivani P

•

Jul 9, 2019

The lectures were not enough for the assignments provided

By Alejandro P A

•

Dec 22, 2017

Good content but too fast pace and confusing assigments.

By Camilo E A P

•

Aug 27, 2019

Jupyter notebook for assignments do not work properly.

By Sayali B

•

Jun 20, 2018

The questions are very hard and not covered in training

By Deepalakshmi K

•

May 23, 2019

Dint teach anything used in the assignments properly

By Chris H

•

Mar 22, 2023

not practical - no student interaction. just videos

By Abdullah B

•

Sep 10, 2022

Not enough resources to solve the assignment.

By Joao V O C d B

•

Jul 27, 2020

The problem is the lack of practical exercises

By Christalin D

•

Jun 21, 2020

It's asking for money to continue the course

By Hari S S

•

Jul 30, 2020

A bit more motivation needed in this course

By W N

•

Nov 27, 2016

Good material, let down by instructors.

By laxmi n r j

•

Sep 3, 2017

Its too fast paced and less elaborated

By Heike M H

•

Mar 10, 2022

Not suitable for beginners in Python

By Alexander K

•

Apr 14, 2020

Nothing new. I recalled what I knew

By Stefano M

•

May 27, 2019

The lessons were too fast and dense

By Daniele D

•

Mar 1, 2018

Theory is not related to exercises

By 김민섭

•

Apr 27, 2020

Good materials, annoying grading.

By Nachiketa N

•

Aug 21, 2020

Should have been more detailed

By LUKAS E G

•

Sep 11, 2020

Better reading a pandas book.

By Yaron L

•

May 25, 2021

NOT ENOUGH PRACTIOTION!!!!

By zhangzhongquan

•

Nov 12, 2017

it's not very good

By V

•

Sep 11, 2017

Not much of a use.

By ANKIT A

•

Sep 2, 2020

Less interesting

By DHRUV S

•

May 5, 2020

hard assignments