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

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.

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

Filter by:

2026 - 2050 of 5,951 Reviews for Introduction to Data Science in Python

By kunal s

•

Jul 20, 2020

Excellent course for beginners in python. Hats off coursera team.

By Juan J O P

•

Apr 16, 2020

I obtained very good skills essential to manage data with Python.

By Husam A

•

Apr 14, 2020

Every graduate's bootstrap into the modern world of Data Science.

By Tatek E

•

Mar 23, 2020

Excellent presentation, exercise and reading materials. Thank you

By Roberto C

•

Sep 11, 2019

I have greatly improved my data manipulation and analysis skills.

By Panayot P

•

May 23, 2019

Great course on introduction to data science. Well worth the time

By Jipeng C

•

Nov 5, 2018

I really learned a lot of useful knowledge about numpy and pandas

By SHENG-FENG H

•

Aug 20, 2018

very impressive course but the project with many cumbersome issue

By Christos Z

•

Mar 28, 2018

Many hours of work, tough course, the way it has to be. Congrats.

By Dinesh C K

•

Feb 11, 2018

Best course for any data science students. Assignments are great.

By Zaharie S

•

Jan 31, 2018

Great course, great teacher, great structure. Easy to pass tough.

By Aditya T

•

Aug 5, 2017

Excellent way to start your goal to become an expertise in python

By Hritik A

•

Jul 18, 2022

Hard and require lot of time to get your hands dirty with pandas

By Dan A

•

Dec 20, 2021

Absolutelly amazing expirience and challengeble practical labs!

By Yateen W

•

Jun 9, 2021

Excellent course with variety of examples and practice material.

By Mateus G

•

Jan 8, 2021

Very good, was hard at the beginning but at the end became sweet

By Misha T

•

Sep 11, 2020

Great intro to DS in Python, the lecture videos are really good!

By RICARDO A F S

•

Jul 17, 2020

Great course, maybe I need more knowlodge for manipulating data.

By Maxim K

•

Apr 23, 2020

Great course, interactive videos and auto validated submissions!

By Casey M

•

Apr 19, 2020

Great instruction and challenging problems. This was enjoyable.

By Josh H

•

Dec 30, 2019

amazing start to python could not recommend this course enough!!

By Kelechi O

•

Nov 5, 2019

It is a great introductory course to Python use in Data Science.

By Jogisubhashini

•

Aug 17, 2019

this course is nice and it is very useful for my further studies

By Gabriel A O

•

Nov 6, 2018

This course has been one of the best he took: D. Thank Coursera!

By Justin R

•

Jul 2, 2018

Fantastic intro to pandas. Gave me the foundation to learn more!