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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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2126 - 2150 of 5,948 Reviews for Introduction to Data Science in Python

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 16, 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!

By Pamela H O

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Jul 31, 2020

Excelente curso, muy demandante pero se aprende demasiado.

By Mohit S

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Jul 28, 2020

First ever cours which actually tests the knowledge gained

By Raul X

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Jul 17, 2020

An excellent course to enter to the world of data science!

By Limpat S

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Jul 15, 2020

I think the tests are too hard or maybe I am just too dumb

By HARSHIT M

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Jul 5, 2020

The course was very good and instructor was also very good

By Md M R T

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Jun 30, 2020

Assignments modelling is really great.really learned a lot