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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

YH

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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.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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4351 - 4375 of 5,940 Reviews for Introduction to Data Science in Python

By Rahul S

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Jan 28, 2017

The material seemed a bit hurried at times..but overall a great learning experience and the assignments were truly helpful

By Ozgun K S

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Jul 29, 2020

First, classes give you knowledge about topics. Then,

challenging

assignments come which encourages you to learn more.

By Rômulo M

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Apr 10, 2017

In my opinion, the assignments problems could be more clearily explained, I think it could be improved for next sessions.

By Jason B

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Jan 29, 2022

I. (eg wasting 30mins on df.pivot() vs df.pivot_table()!)Think my next course will be more intermediate level in python.

By JAI K

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Jun 16, 2020

The videos could have been more Assignment friendly, as the assignments were tough to crack after seeing just the basics

By Akshay S

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Sep 10, 2019

The assignments and the projects touched upon not just the basics. The video lectures could've been a bit more detailed.

By Khoa N

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Jul 3, 2018

The pace of the course is fast, need quite a bit of python experience and a lot of study outside of the course material.

By Youdinghuan C

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Jan 22, 2017

First two weeks are great. The third week becomes a bit disporportionately difficult. The autograder is very inflexible.

By Geoffroy D

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Dec 3, 2016

Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.

By Charles K

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Jul 16, 2020

Difficult, but do-able. Recommend having a strong baseline understanding of Python + Jupyter Notebooks before starting.

By Varun C

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Jul 9, 2020

I have gained much knowledge of the pandas library from this course.I will forever be grateful to Dr.Christopher Brooks

By Muhammad R S

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Jul 2, 2020

This course was very much fast paced.This course is not for beginners but for people who wants to refresh there topics.

By NITHIN M

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Jun 29, 2020

Amazing course the basic fundamentals and overview idea of the data science using python is covered in this course.....

By Gerardo D l O

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May 7, 2018

Great material, but the lectures go extremely fast and have no external notes. The last assignment is way out of scope.

By Samuel B

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Dec 9, 2023

Very good course to get your hands dirty. A lack of clarity in the assignments' instructions leaves students guessing.

By Orkun M K

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Aug 11, 2020

Presentation materials and instructor is well. However, assignments are a bit hard and do not have enough explonation.

By Himanshu B

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Jul 31, 2019

Good course for beginners but it is some advance thing which asks in the assignments but not covered in video lectures

By Steve B

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Jul 16, 2018

Excellent course, auto-grader + assignments can be frustrating at times but other than that all good.

Many thanks.

Steve

By Vipul S

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Jun 19, 2018

A good starting point, but as it is explicitly mentioned it doesn't teach much math for stats but overall pretty good.

By Corinne

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Jan 15, 2018

Very good assignments and good overview of many different topics. Videos are well made and I'd like to listen to them.

By Aathira S

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May 19, 2020

I have moderate base in python and had very less idea on dataframe . This course helped me learn a lot of new topics.

By Rocio B

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Apr 30, 2020

Great course!! Programming in python with data other than numbers. It was a challenge for me, but I really liked it.

By Солохов Т Д

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Apr 21, 2020

There was a lack of practical excercises after every video. I would better prefer more smaller tasks during the week.

By Paras J

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Jun 3, 2019

Most assignments required individual learning. Not much was covered in the lectures. I relied on the book I'm having.

By Mateusz M

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Sep 25, 2018

The course is going pretty fast through the most important libraries. Make sure you understand python and statistics.