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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.

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1851 - 1875 of 5,951 Reviews for Introduction to Data Science in Python

By Filipe W

Feb 10, 2017

Congratulations, folks! This course is amazing! I learned *a lot* on it! =]

By umer l

Jan 9, 2017

The best course for beginners like me. The way Professor teaches is awesome.

By Круткин М Д

Mar 27, 2022

This course gave me a good understanding on how to manage data with Python!

By Dhruv C

May 24, 2021

Best hands on course that's out there. Great assignments and great content!

By Anish C

Aug 1, 2020

Excellent information, resources and topics covered! Learned a lot. Thanks!

By Javier S T

Jul 30, 2020

Great Course, a little difficult at the end, but it's really great. Thanks.

By Darshan V

May 30, 2020

A Must course for a Data Science beginner or for a Data Science Enthusiast.

By Maksim A

May 16, 2020

This course teaches you to understand the documentation yourself. I advise!

By Ehtisham A

Apr 21, 2019

This course is amazing and the instructor teach everything in very easy way

By RAMAKRISHNA J

Feb 4, 2019

Excellent course and the things on the way. logical assignments and quizes.

By Jonathan P

Jan 28, 2019

Great class to get the wheels churning in data science and python. Go Blue!

By Taha

Jul 26, 2018

Its hard and you are expected to use other resources a lot but its worth it

By Benjamin R

May 14, 2017

Challenging and fun course. I can see how powerful this methodology can be.

By Artsiom R

Jan 29, 2017

Thanks a lot for your work. It's a great course for data sciense in python!

By Jacopo B

Jan 16, 2017

Very nice introduction to pandas for those who already know how to program.

By José E L

Nov 20, 2016

Excellent! A little harder for new students in python but very interesting!

By Maram

Aug 4, 2022

The course is quite helpful, and I have no doubt that it will advance you.

By yongke z

Jul 26, 2021

Very useful! Though the autograder needs to be improved to some extent lol

By Ivan E P O

Mar 3, 2021

You really need to check the drafting in some questions in the assignment.

By Brent B

Feb 11, 2021

This course met my expectations. It is a great introduction to the topic.

By Yanzely N

Jul 4, 2020

Las asignaciones estuvieron un poco difíciles pero pude aprender bastante.

By Jimmy K A

May 6, 2020

Aewsome and challenging course if you want to break in data science world.

By Monika G

Apr 28, 2020

Excellent content and well presented. Assignment 4 could have been simpler

By Kanad S B

Apr 24, 2020

This course is good and elaborative and the exercises are also challenging

By Sauvik D

Dec 28, 2018

Loved the content and assignments. Learned so much! Keep up the good work.