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

4.5
stars
27,126 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

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

AV

Dec 31, 2016

To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente

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2126 - 2150 of 5,966 Reviews for Introduction to Data Science in Python

By Axel D F P

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Jun 17, 2024

Un curso muy completo, para aprender python por primera vez

By jeison i y

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Apr 6, 2022

Sienta buenas bases para el aprendezaje de ciencia de datos

By Wai Y P S

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Jun 22, 2021

Thanks you so much University of Michigan for Great course

By Dr. A K

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Feb 14, 2021

thank you so much, Coursera and the University of Michigan.

By Alan S

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Dec 3, 2020

Very challenging, but an overall great learning experience!

By Ben M

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Oct 4, 2020

Challenging but definitely a good grounding to data science

By Chad C

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Sep 18, 2020

I have done several online courses this is by far the best.

By David d M

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Aug 14, 2020

Curso muito bom. Dá uma base muito boa para entrar no ramo.

By Ashwin J

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Jul 24, 2020

A top level course to understand the basics of Data Science

By RAHUL J

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Jul 22, 2020

More detailed explanation should be provided in the course.

By Anurag M

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May 25, 2020

Course structure keeps me linked to real time data analysis

By Rutvik J

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Mar 22, 2020

Great platform to learn data science for complete beginner.

By BULAWAN, J E ( C

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Mar 20, 2020

This was an amazing course, so far. I enjoyed this one too.

By Bishad D R U

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Feb 1, 2020

Excellent. I learned as like as I learned in my university.

By Ioana I

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May 12, 2019

Enjoyed the assignments :) and of course the course content

By RUDRA K

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Aug 20, 2018

thanks university of michigan for letting me do this course

By Maranatha C

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Mar 29, 2018

i don't quite understand all the concepts but it is free :)

By Lanxin J

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Jun 19, 2017

Contents included in lectures do no match assignments well.

By abdulkader h

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Nov 19, 2016

I thank so much professor Brooks and the team of the cours.

By RAJ R R

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Oct 11, 2024

it is a very good course. I gain more knowledge on python.

By Zohaib H

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Dec 15, 2023

It's good platform to empower IT skill highly appreciated.

By Davide B

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Jul 30, 2023

Effective, focused. Good learning path. Very good teacher.

By Soumyadeep D

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Jan 11, 2021

A bit difficult but a real eye-opener. Enjoyed the course.

By L S m

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Sep 16, 2020

Excellent course and very good and challenging assignments

By Marcus H

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Sep 10, 2020

Good course with nice material! Not too easy but feasible!