Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,738 ratings
•
1,850 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.

Filter by:

726 - 750 of 1,834 Reviews for Data Analysis with Python

By Yellappa D

•
Apr 29, 2019

Very good course for beginners and to learn basics.

By Sanjay D

•
Mar 26, 2019

I liked the gradual built up of the topics covered.

By Imam A M

•
Nov 16, 2020

Nice Course, I know now how to work with statistic

By Iván G L

•
Aug 23, 2020

Excellent course to get the basis of data analysis

By Faiza K

•
Feb 2, 2020

Very good course and very easy way of explaination

By Nguyen X K

•
Jan 10, 2020

The teacher explains issues in an explicit manner.

By Zhiyi Y

•
Sep 20, 2019

Very useful for data cleaning and data exploratory

By Abdelraheem A

•
Mar 10, 2019

Great and well organized course, very informative!

By Ankit V

•
Dec 16, 2018

Course is great with detailed info and lab session

By Shailesh M

•
Nov 22, 2018

Detailed Analysis on Data Science with python.....

By Ravikumar A K

•
Apr 13, 2020

Happy to be hear, great training session. Thanks.

By Alejandro

•
Jan 13, 2020

Excellent course to start learning about Big Data

By Deleted A

•
Jul 11, 2019

My first Machine learning course. It was awesome.

By Kanupriya

•
Jun 25, 2020

Very thorough, detailed but also easy to follow.

By Rajnesh K

•
Jun 4, 2020

Great concept delivery, and outstanding content.

By prashant d

•
Nov 15, 2019

The best course to start.

well explained content.

By Tiago B L

•
Jun 9, 2019

Good value for your time and money. Recommended.

By Alessandro Z

•
Mar 30, 2019

I think that this course is useful and well done

By Dr. B L

•
Dec 16, 2020

Excellent Learning Plateform by Data Scientist

By Alejandro O Q

•
Jun 16, 2020

Good course a little difficult in terms of math

By Andres V

•
Mar 29, 2020

Excelente curso de introducción a Data Science.

By Carlos A E B

•
Mar 21, 2020

It's the best data science course for beginners

By Parth P

•
Mar 11, 2020

Foundation course for Data Analysis. Great ...!

By Debasis K C

•
Jan 28, 2020

Excellent content; learnt a lot in this course.

By praveen k

•
Nov 26, 2019

Linear Regressions are needed some more clarity

Coursera Footer

Top Online Courses

Top Online Specializations

Online Certificates

Online Degree Programs

Coursera

Community

More

Learn Anywhere
Download on the App StoreGet it on Google Play