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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,752 ratings
•
1,854 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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1551 - 1575 of 1,834 Reviews for Data Analysis with Python

By Serdar M

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Nov 16, 2018

would be better if there were more exercises.

By Shashank V M

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Apr 9, 2020

Simple as compared to real world challenges.

By Rohitaksh

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Sep 20, 2019

Good Lab examples and thorough explanations.

By Ali N

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Jul 17, 2019

It was a good course. The labs were helpful.

By Balavignesh R C

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Dec 18, 2018

Good Understanding of Data Science concepts.

By Sai V A

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Apr 19, 2020

good course with almost all topics covered

By hayoung_lee@kbfg.com

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Apr 7, 2020

Easy to follow. Comprehensive explanation.

By Ahmad F

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Jan 18, 2019

concepts were not explained very carefully

By KONDAPALLI N K

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May 13, 2020

Excellent course with detail description.

By Manish C

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Mar 28, 2020

Best data analysis course for beginners .

By MOUSSA S

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Apr 26, 2020

Excellent ! Helped me discover new tools

By Harshil G

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Apr 29, 2020

It's very good start into data science.

By Oladeji S O

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May 13, 2020

Wonderful course, I really enjoyed it

By Asmita K

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Oct 6, 2019

Average Course with simple learning.

By Mithun k S

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May 2, 2020

linkage between each module require

By Ardit Z

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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

•
Nov 14, 2018

There are some errors in the labs

By Rauf S

•
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

•
Jul 22, 2018

Where good to start for beginner

By Sripriya D

•
Jul 19, 2020

it felt very dry for some parts

By Jignesh P

•
May 12, 2020

Great Learning from this course

By Joseph S

•
May 3, 2020

Modules 4 & 5 need more detail.

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