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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
15,074 ratings
2,271 reviews

About the Course

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews

RP

Apr 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

SC

May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

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1851 - 1875 of 2,276 Reviews for Data Analysis with Python

By Umesh S

Jul 21, 2020

may be a course or module on statistics may be more helpful to get better insight of this course

By Fahad R

Jun 28, 2020

Very comprehensive course but it would be great to add some more material from basic statistics.

By Sajal J

Oct 19, 2019

Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED

By Adam A

Feb 1, 2022

Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.

By Letshabo M

Jul 20, 2021

This course has given me a good start up to analysing with python. Thank you IBM and Cousera.

By Puneet K U

Apr 12, 2020

Very well structured course, but it felt a bit easy. You can make it a bit more challenging!

By Manal C

Sep 10, 2019

Very condensed, and requires additional research for those without a programming background

By shaikh s

Sep 10, 2019

i think its a better way to learn python and will be eligible for job in any organization.

By Abdullah h

Oct 12, 2019

this course is so great but the last 2 section (week 4 and 5 needs some more explanation

By Sanskriti T

May 17, 2020

This course is great!!! I loved it and provides better understanding of data analytics

By Munir N

Oct 17, 2019

Again very good designed by IBM and Coursera. It was a bit tough but good for learning

By Rubén A G Z

Apr 11, 2020

Please include more examples in the laboratories, for a better interpretation.

Thanks.

By E. R " A

Mar 28, 2020

An extraordinary well-designed course with excellent courseware and tests. A triumph!

By Sven B

Sep 26, 2019

Good quality, a little bit is missing the background explanation for some techniques.

By AHMED A

May 9, 2022

i think you it's better to make the question of the exam harder with add extra steps

By Will S

Mar 29, 2020

The labs weren't available for a period of time, but the information is very useful!

By Lawrence F

Dec 18, 2018

Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.

By Md. S R

Sep 14, 2021

Some syntax is wrong. However, more explanation is required for proper explanation!

By Marcel M R

Jul 17, 2019

Week 04 and Week 05 are very confusing and only scratch the surface of the subject!

By Akash M

Jan 26, 2020

nice and balanced course i like the assignments in this course a lot to learn here

By Edinson R S A

Mar 5, 2020

Good course, more explanation of the interpretations of the results will be great

By PD T

Dec 29, 2019

Better explanation could have been given for beginners, otherwise, it was good.

By Diego S

Sep 22, 2019

I think needs to append more exercise. Too much content for a few of exercises

By Alex U

May 27, 2021

Good course, But it would be better to insert more additional practise tasks.

By Mohit

Nov 24, 2020

Teacher teaches in a well mannered its quiz and lab session help me a lot .