Chevron Left
Back to Introduction to Data Science in Python

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

Filter by:

1926 - 1950 of 5,948 Reviews for Introduction to Data Science in Python

By Peter P

Dec 12, 2022

Very useful information and Assignments, a great way to learn python

By Duong A D

Nov 30, 2022

The course is a bit difficult, but I learned more than I had expected.

By ADITYA R S

Jul 27, 2022

Got to learn a lot . A very difficult Course, Assignment wise...!!!!!!

By OFFISONG E E

Aug 19, 2020

Thank you so much sir. I so love this course. This is one of the best.

By Juan N R A

Jun 28, 2020

Excellent Course maybe the best that i´ve taken in Coursera until now.

By Shubham B

Jun 11, 2020

extremely helpful course who want to enter into domain of data science

By MAYANK P

May 30, 2020

Excellent to take up this course as on the coming future technologies.

By Aida H

Apr 26, 2020

An amazing course for beginners, there is a lot of new stuff to learn.

By cường n

Apr 24, 2020

great. This course is very clear and teach me basic panda. Very useful

By Adir O

Apr 14, 2020

it was hard as i hoped it would be

good help in the forum(thanks Yusuf)

By karan a

Apr 13, 2020

Awesome course for someone who wants to brush up Python with Ds skills

By Ravi M

Feb 10, 2020

Excellent course!! Covers the basic concept of Statistics with Python.

By Niclas F S

Oct 17, 2019

A great course! Assignments can be tricky to solve, but are rewarding.

By German C

Jul 25, 2019

El curso esta muy bien explicado. Es entretenido y realmente muy util.

By Sergio P

Jul 10, 2019

Exceptional course to get a complete introduction to pandas in python!

By Gyaneshwar P

Mar 27, 2019

It was terrific, complete hands-on experience with real case problems.

By Ay s

Mar 5, 2019

very nice explanations provided in the videos really liked the course.

By Deleted A

May 16, 2018

Awesome course for beginners to learn basics and how it is applicable.

By sajad

Mar 19, 2018

The course was beyond my expectations, and I was intrigued by mentors.

By 董赫彬

Jan 19, 2018

It is a hard process to learn this lesson, but also rewarding. Thanks.

By Faith N

Mar 19, 2017

Awesome course for those who want to kick start a data science career.

By Steven B

Jan 19, 2017

Excellent class, well-designed programming exercises with autograding.

By Anushka R

Jan 20, 2024

it makes the journey towards Data Science much more organized and fun

By med m

Sep 11, 2020

Really EXCELLENT Course, Made me really confident with Pandas & Numpy

By ebrasupertramp

Jun 29, 2020

i really enjoyed this course even if it was harder than i excpected.