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

4.5
stars
27,207 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

TG

Apr 13, 2020

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

ME

Jul 26, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

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2076 - 2100 of 5,978 Reviews for Introduction to Data Science in Python

By Mahesh M

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Aug 13, 2019

Has the level of programming exercises that I was looking for.

By Pruthvi V

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Aug 2, 2019

I love the way concepts are explained with clear articulation.

By Hugo I V R

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May 27, 2019

Tasks where quite challenging compared to the course contents.

By Arram B

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Jan 10, 2019

Learnt the Basics of Data Science with Python with this course

By Pratyush N

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Jul 21, 2018

Training session and material is very good. it is worth for me

By Wang D

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Apr 18, 2018

Great course! Well designed homework! I learned a lot from it!

By Alexander K

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Feb 16, 2018

Great introduction to practical data manipulation with pandas!

By Ankit T

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Jan 13, 2018

Best course for introduction to python basics, numpy , pandas.

By zaiwen t

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Dec 8, 2016

It is a great course. especially on the excellent assignments.

By Luiz H

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Dec 4, 2016

High quality content and challenging assignments. Really good!

By faisal s

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Aug 6, 2023

An excellent course for understanding basics of Data Science.

By RITIK R

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Sep 11, 2022

it's a great course for anyone starting ml and data science.

By andrew v

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Apr 12, 2022

Difficult, but super helpful for getting familiar with pandas

By Eduard K

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Feb 6, 2022

Challenging, very practical oriented. Active staff on forums.

By Erni Y

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Jan 2, 2022

assignment well designed forcing you digging deeper in python

By Nguyễn P H

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Oct 10, 2021

Good course to start learning Data Science, especially Pandas

By Santiago G G

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Sep 29, 2021

It is a very good course to learn the basics of data analysis

By Jackie C

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Jul 26, 2021

It is not too easy yet not too hard. Really helped me a lot !

By AMIT S

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Nov 27, 2020

learn lot of stuff related to python and different libraries.

By Stewart A

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Nov 16, 2020

Great course, well presented. Interesting and useful content.

By Manosh S C

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Oct 17, 2020

needed more resource for matplotlib library and numpy library

By Piyush H

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Sep 2, 2020

Its an Exceptional Course and Prof. Brooks is a great Teacher

By Vaibhav S

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Jul 5, 2020

Very nice course as it also involves practical implementation

By Sanchit G

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Jun 28, 2020

It expects the learner to understand fast which is difficult.

By Ditebogo M

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Jun 16, 2020

A very powerful course to get you started as a data scientist