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
27,109 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:

4776 - 4800 of 5,958 Reviews for Introduction to Data Science in Python

By Prahlad S

•

Feb 3, 2021

excellent course and hands on learning and assignments

By Nishal

•

Nov 13, 2019

Good intro to using pandas and going through datasets!

By Chris R

•

Aug 25, 2018

Great delivery and assignments inline with curriculum.

By Kay F

•

Feb 11, 2018

assignments and week books were not that good aligned.

By Sai G S

•

Jun 17, 2020

Good Course for a beginner, but needs lot of patience

By Patrick

•

Nov 30, 2016

assignment is really hard, takes me 30 hours at least

By Ning S

•

Jan 15, 2023

The assignment user's interface is not easy to use.

By Anusha P

•

Sep 17, 2020

Very Good course for those who wants to learn Pandas

By Divya s

•

Jun 1, 2020

it was a good course overall for a beginner like me!

By Mohammed E A M

•

Mar 8, 2020

Many times I found it hard to understand the problem

By Sam M

•

Sep 14, 2019

Great Intro course into both Data Science and Pandas

By Alfredo E d l T

•

Sep 22, 2018

A very course. Only little problems with autograder.

By Abhinav A

•

Sep 10, 2018

The pace of the course could have been a little low.

By Wang Z

•

Nov 6, 2017

Videos are a bit short without detailed explanation.

By Hope S

•

Oct 9, 2023

probably too much focus on regex, but still helpful

By Rodolfo D

•

Dec 17, 2020

Muy bueno y practico para comenzar en este entorno.

By Niraj P

•

Jun 4, 2020

Really effective in building my python programming.

By Ujwal G

•

Mar 22, 2019

assignmentds are much harder than d course content.

By Dale S

•

Jun 18, 2017

Great way to learn about Pandas, Numpy and Jupyter!

By Leen P

•

Apr 13, 2022

sometiemes the questions are not detailed enought!

By Lazar S

•

Jan 7, 2022

There are some bugs but in general a great course!

By Deep C

•

Nov 29, 2019

This course is advance level but very informative.

By Ali A

•

Jan 24, 2019

Good for people with prior programming experience.

By Rishikesh K

•

Jul 4, 2017

The instructions for assignments need more clarity

By THUMMALA H R

•

Sep 18, 2022

assignment part would me tough for the beginners