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

4.5
stars
27,065 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

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.

PK

May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

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1126 - 1150 of 5,948 Reviews for Introduction to Data Science in Python

By Chaitanya D

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May 18, 2017

Great course! Covers important features of Python which are most likely to be used in Data Science. Programming assignments are really interesting.

By Christian G

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Apr 6, 2022

the assignments are quit tough, but practical and real life problems. You really have to dive in and learn it. But you get better understanding.

By Annette S

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Aug 17, 2021

One of the best courses I have done so far. Assignments are practical and cover quite some things you will very often see while working with data.

By Pablo N

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Oct 8, 2020

Great course, everything was nicely explained and the assignments actually make you apply what you learn instead of having you fill an 'ABC' test.

By Juan C A

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Sep 22, 2020

A good introduction to the pandas package, which is the basisi for managing data. It's not an easy course with a big quantity of self-researching.

By S A B

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Apr 21, 2020

Really good course for Data Science Aspirants.Since the video content is less and Assignment part is more,

you can get both Knowledge and SKILLS!!!

By QIU T

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Mar 9, 2017

Learning this course gave me confidence and more interest in exploring data science, I plan to explore further through the next couple of courses.

By Kanatbek A

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Sep 2, 2023

Challenging - to learn data analysis and programming especially to get the point of the task; hence, the course includes free English lesson :)

By Fabien P

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Apr 20, 2022

In order to get used to the best coding practices, can you send me the corrected versions of the 4 assignements of this course please ?

Fabien

By Sauparnika N

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Apr 24, 2020

i really loved this course...it helped me strengthen my knowledge in python and helped me in revising them. thank you coursera and the professors

By Nicoli M U

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Mar 13, 2020

It is my 2nd course at the University of Michigan and I am impressed! The teaching is great and there are always challenging exercises to be done

By Shree R

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Jan 30, 2017

I learnt a lot, and enjoyed the process! It was more engaging than I expected of an online course. Excited to go forward with the specialization.

By Liu L

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Dec 11, 2016

This course systematically introduced the use of Python and Pandas library to read data, clean data, transform data, and do statistical analysis.

By Ugur S O

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Nov 15, 2020

The course was amazing and I think little bit difficult w.r.t. others but it has very application available so we can improve ourself very well.

By Leonardo B

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May 17, 2020

Great course, with thorough explanations and exercises that encourage you to do some research on your own and that help pushing your own limits.

By Shivam S

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Apr 22, 2020

This Course is really amazing and covers broad concepts but it is a little bit of boring, however great content and must course for Data Science

By paolo v

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Jul 4, 2019

Good solid course to learn the foundation of python. The level is not too basic so you can really learn if you are at the beginning of your path

By Yashar Z

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Mar 17, 2017

The Assignments are really tough and need a lot of self study. However, If you are a person who learns by doing projects this course is the one.

By Ravi S

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Feb 18, 2023

Really insightful course for those who would want to ramp up their Python skills for Data Science but might require prior experience of coding.

By Phanendra E

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Jun 15, 2020

Though I felt it's too fast for me at the beginning. I caught up with the speed and the explanation is really good with assignments in between.

By Daniela H A

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May 1, 2020

El curso muestra de manera progresiva el uso de la librería pandas y pone a prueba las habilidades de cada persona para enfrentarse a problemas

By Diogo S

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Sep 30, 2018

Fast and intuitive course introducing Python and Data Science. It is filled with exercises and notebooks that helps you assimilate the content.

By Tsvetan D

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Oct 25, 2017

Great module with very practical assignments. I found it a bit challenging, but that's what makes you dig deeper and develop your logical flow.

By Varada G

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Jan 25, 2017

Briskly paced course for those new to Python and/or Pandas. Good weekly exercises that ended with a real life data analysis exercise in week 4.

By Daniel B

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Dec 18, 2020

Nice introduction to data science in python with pandas, covering relevant skills such as regular expressions and other data cleaning methods.