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
26,999 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

SI

Invalid date

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

PS

Invalid date

Very good course assignments and projects. Really learnt good by exploring stackoverflow and other forums to complete the assignments. Please include some detailed lectures in the upcoming modules.

Filter by:

2001 - 2025 of 5,937 Reviews for Introduction to Data Science in Python

By Luis A G T

•

Jun 28, 2022

Es un curso muy bien diseñado con tareas que siempre son un reto.

By Vishal K G

•

May 26, 2022

Excellent Course, a lot of learning with insightful illustrations.

By Komal D

•

Aug 3, 2020

Very informative course.It really helped me with my python coding.

By ABDESSELAM B

•

Jun 16, 2020

i really enjoyd the course ! thank you so much cristopher brooks !

By Ramneek K

•

Jun 6, 2020

I've learnt things which will definitely help me. Thankyou so much

By Santoshi L G U

•

Jun 5, 2020

Nice Concepts and i learned about using the python in Data Science

By Ravi U

•

May 31, 2020

this is the great learning process and very well planned questions

By Taruna M T

•

May 22, 2020

suitable code for better understanding the concept of data science

By Kishan D

•

Apr 20, 2020

The versions of pandas and numpy used in this course are outdated.

By Jorge M

•

Mar 14, 2019

Great course! I highly recommend it for beginners in Data Science.

By Graeme B

•

Dec 2, 2017

great course, you should have knowledge of python before starting.

By vaibhav p

•

Nov 2, 2017

The course is very good to get started with Python essential for M

By 陈熠

•

Jul 28, 2017

Very useful data science course with python. I have learned a lot.

By Vincent K

•

Jun 3, 2017

Very good starter on learning the basics for python data analysis.

By Pradeep N K

•

Jun 2, 2017

Too many things to learn. The best Python course I've had so far!!

By Michel H

•

May 19, 2017

Good introduction to Pandas and Numpy. I enjoyed the assignments.

By Miklos H

•

Mar 5, 2017

Fast-paced course requiring time to finish - but totally worth it!

By Henry C

•

Jan 23, 2017

This course has helped me equip basics knowledge of Python Pandas.

By amy s

•

Nov 21, 2016

Even short, but give a hint and big picture how data science works

By Félix d P H

•

Aug 12, 2022

Some parts are "difficult" but worthy to learn! Recommended 100%

By Mrinal D

•

May 25, 2022

Very Good Course I have learned lots of new things in this feild.

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