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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

4.5
stars
27,057 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.

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.

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1601 - 1625 of 5,948 Reviews for Introduction to Data Science in Python

By Atilio T

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Mar 5, 2020

Excellent course. Quite useful to get into python programming with application to data science.

By Dwarak S

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Nov 5, 2019

Excellent material, bit tough for beginners but excellent way to learn data science with python

By Richard Z

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Jul 24, 2019

An overall great course. Well-designed assignments, supportive community, really learned a lot.

By Bob

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Feb 28, 2019

Awesome, not an easy one, stretched my Pandas and data analysis skills, and a bit of statistics

By Michael M

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Feb 10, 2019

Challenging fast paced course that requires you to do a lot of self-learning. I learned a lot.

By Thomas J

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Jun 13, 2018

The programming assignments were really demanding + the instructor is good. I've learned a lot!

By Benjamin D

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Nov 9, 2017

Fantastic introduction to data cleaning, manipulation, visualization, and analysis with Python.

By Mohamed S

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Sep 7, 2017

Great course , and the forums was really helpful in getting best of the course ....Thanks a lot

By Stephen S

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Jul 31, 2017

Excellent introduction and getting working with the several python libraries for data analysis.

By wen c

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May 4, 2017

This course is very useful for those who have a little foundametion of python but not familiar.

By Hafsa U

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Apr 10, 2022

excellent course with suberb instructructors .

surely will refer to other friends in the field.

By David R

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Dec 26, 2021

I learned a lot from this course and will continue to expand on these concepts. Thank you UoM!

By Yashaswa V

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Apr 29, 2021

The Best Introductory Course on Python for DS I ever came across over several other platforms.

By Nelson J B F

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Apr 17, 2021

Excelent course and teachers. One of the most Hight level course I've been coursed in Coursera

By Serban-Teodor G

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Mar 28, 2021

Just what I needed to become familiar with pandas and statistical applications. Very hands on!

By Carlos E G d O

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Aug 18, 2020

Very challenging course! The assignments requires a lot of individual research and dedication.

By Junhyeok H

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Aug 6, 2020

Great even if you are not an expert with python as long as your coding foundations are strong.

By Dylan C

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May 7, 2020

Great introductory course for someone who has a solid foundation in programming but not python

By Piotr P

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Jun 3, 2019

Lectures clearly explain material and you can gain first experience with practical assignments

By Lucas N

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Jan 16, 2019

A few tricky homework assignments but I really enjoyed this course! I learned many new things.

By Chunyu

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Jul 6, 2018

This course is so useful, I learned a lot about python. As a starter, I very like this course.

By A.Bashar E

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Jan 26, 2018

Great but hard course. Consider good statistical or theoretical data science course before it.

By Joseto R

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Sep 5, 2017

I learned a lot in this course. Very happy with the contents and challenges in the assignments

By Darlington C N

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Sep 8, 2020

High quality content. Thank you Coursera and the University of Michigan for this opportunity.

By Harsh S

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Sep 3, 2020

Very good course. The assignments could be very challenging, but the information is worth it.