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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,959 ratings
•
1,893 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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1601 - 1625 of 1,872 Reviews for Data Analysis with Python

By Ardit Z

•
Feb 2, 2020

Too easy. Make it more challenging!

By Sachin G

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May 29, 2019

should have more thorough examples

By Liliana R

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Nov 14, 2018

There are some errors in the labs

By Rauf S

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Apr 8, 2020

you can explain more efficiently

By José C D S

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Jun 7, 2019

It took me longer than estimated

By Edoardo B

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Jan 13, 2019

Missing a Peer-reviewed exercise

By A A

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Jul 22, 2018

Where good to start for beginner

By Sripriya D

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Jul 19, 2020

it felt very dry for some parts

By Jignesh P

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May 12, 2020

Great Learning from this course

By Joseph S

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May 3, 2020

Modules 4 & 5 need more detail.

By Shamik K

•
Dec 27, 2020

Diff course but well planned !

By Trang N D N

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Feb 28, 2020

there are some bugs in the lab

By Igor G

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Jun 5, 2019

No linter was used by authors.

By shrikesh s j

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Feb 20, 2020

it was worst experiance !!!!!

By VIGNESHKUMAR R

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Dec 22, 2019

Good but need to improve labs

By Sakthivadivelan

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Jul 15, 2020

labs can be more explanatory

By Tyler X

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May 8, 2019

It's a little hard to learn.

By A A A

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Apr 13, 2020

Fantastic coding experience

By Eslam G M I

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Feb 2, 2019

This course taught me a lot

By Nina W

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Jul 22, 2019

课程的视频部分讲的比较简单，阅读材料值得认真完成。

By Chandrakanth R

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May 8, 2019

Complex topic simplified

By lalitha_sri

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Jul 11, 2020

it was very helpful.

By Joshua T

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Jul 28, 2019

Final test had bugs.

By mahesh C

•
Apr 13, 2020

can go more deeper

By Darshak S

•
Jan 28, 2020

very useful course

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