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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
13,197 ratings
1,938 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

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.

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.

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1676 - 1700 of 1,917 Reviews for Data Analysis with Python

By Chimi C

May 16, 2019

was really nice

By Luis A A Y

Jun 15, 2020

Great Course !

By Ruppa S S

May 14, 2020

Great course!

By Jitendra K

Dec 29, 2019

Best course .

By Pradeep N S

Aug 3, 2020

Great Course

By MUSHARRAF H B

May 28, 2020

Great Course

By Arvind G

May 22, 2020

Nice content

By Douglas Z

Apr 4, 2019

great course

By Edison G L R

Mar 15, 2019

Great course

By B N B

Jun 6, 2020

GOOD COURSE

By Shubham M

Feb 27, 2019

Good Course

By Bhavesh J

Jun 22, 2020

informaive

By Daniel F V V

Aug 24, 2020

Good job

By Isaac N

Dec 3, 2019

Thank's

By Veronica A S

Apr 6, 2019

not bad

By Motlatsi M

Dec 23, 2020

BEST

By Landyn C O

Oct 6, 2020

good

By David H

Mar 7, 2020

good

By Oseyi K

Jul 12, 2019

good

By Abhishek K S

Apr 23, 2019

good

By Vigneshwaran P

Mar 13, 2019

good

By Ayo S

Oct 23, 2018

Good

By Isaac S

Jul 5, 2020

.

By MAHESH K W

Jan 21, 2020

M

By Christopher L

Feb 5, 2020

The course itself is good. But the amount of material covered is staggering large compared to the previous 5 classes. Why cram so much into this one class! The material is broad enough that it should be covered in 2 classes not 1. And as I've found in all the classes in this certificate program, there are not enough problems given to help students exercise all they are learning. There should be problem sets (with answer keys) given after each week that helps to drive home the important concepts. These could be optional, but I think it is imperative that students have an opportunity to work through more problems to help lock all of this important information in. There should also be links to places to go to learn more about each presented topic.

And the amount of errors in both the videos and labs is really bad. The class preparers (IBM) have done a horrendous job of catching and fixing the multitude of errors in the videos & labs that simply lead students astray. They have to find some method to get all the material correctly updated quickly and I suggested they should keep an ERRATA PAGE that lists all of the known errors that haven't been fixed yet. This would help them to keep an active punch-list of what has to be corrected and allow students to more easily check if a problem they are seeing is related to incorrect materials without having to scrub the forums to try to find answers. And the forums are not run very well. It generally takes a day to get any answers and the answers are not very thorough and in many cases just wrong. Students need a better way to ask questions when they get confused and the answers should be completely explained and relevant.