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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
14,207 ratings
2,106 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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701 - 725 of 2,100 Reviews for Data Analysis with Python

By Azajul I N

Dec 24, 2020

Wow. I really enjoyed this course. Highly Recommended. Keep it up.

By Edwin K

Apr 9, 2020

I enjoyed the course because the labs were helpful for me to learn

By Bakari D

Jul 22, 2019

Great basis for developing regression models and model evaluation.

By Osinowo P

Jul 15, 2019

Not a bad course but you need to still do your homework thoroughly

By Gaurav K

Nov 4, 2018

This course covered the basics of data analysis. Could be improved

By Elsa H

Jun 11, 2021

For me, a Python user beginner, this course was quite challenged.

By Heriberto F J

May 28, 2020

Excellent course to learn the basics of data analysis with python

By Andre F L

May 26, 2020

I think you should stress the pipeline subject a little bit more.

By Dominic F

May 14, 2020

Very well structured and organized. I really enjoyed this course.

By Nữ H

Apr 23, 2020

The course has clear instruction which is essential for beginners

By Jinjin X

Jan 27, 2020

It is a good course to learn Python techniques for data analysis.

By Praveen K

Oct 17, 2019

Thanks for the wonderful and concise course. It really helped me.

By Nipol C

Jul 26, 2019

This course provides you with good introduction to data analysis.

By syed m u h

Jun 16, 2021

This course helped me to understand how to conduct data analysis

By Björn J

Apr 2, 2021

Great online class to start with python in a statistical context

By Nicholas S

Mar 15, 2021

Great course, easy to follow along and introduce basic ML skills

By prasannagp_cse M

Jan 18, 2020

Excellent assignments to take challenged work at the end of week

By Joshy J

Oct 31, 2019

One of the best course in IBM Professional certification program

By Ioseb M

Dec 21, 2018

Great Course. It took some time to be finished but it 100% worth

By Abduljalil A

Jan 18, 2021

Great indepth explanation of how to gain insight into a dataset

By Sebastian F

Dec 14, 2020

Lots of good stuff here ! thank you for such elaborated course!

By Nisakorn C

Dec 7, 2020

Great, the contents are easy to follow are very well organized.

By Rivers L

Jun 29, 2020

I really learnt a lot of data analysis skills from this course.

By Sherbulandkhan B

Apr 14, 2020

Beautifully structured course. Highly recommend for beginners.

By Neelesh T

Mar 5, 2020

I really enjoyed learning this course.

Thank You IBM & Coursera.