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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
14,237 ratings
2,110 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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801 - 825 of 2,104 Reviews for Data Analysis with Python

By MOHANAKRISHNAN V

Mar 22, 2019

VERY GOOD I HAVE LEARNED NEW THINGS THANK YOU VERY MUCH

By Callistus N

Mar 13, 2019

The best gentle intro on creating and evaluating models.

By SONAL C

Mar 9, 2019

Complete coverage for all important topics with examples

By Md M H

Feb 4, 2019

It was one of the hardest course among all the courses.

By Sehyun P

Jun 28, 2021

Fantastic DS course! Learned a lot through this course.

By MD H H

Mar 3, 2020

Great Course! Gives a real feel of doing Data Analysis.

By Mark V M

Nov 29, 2019

Very good explanation with demonstration! Best teacher!

By Aravind

Nov 28, 2019

The course is quite good and way of teaching is awesome

By Marco C

Oct 7, 2019

Great course! In this course I learned so much! Thanks!

By Brahim A

Mar 31, 2019

Well appreciated the course and the skill.

Thanks a lot!

By Alexander P S

Mar 28, 2019

printable slideshow presentations would be very useful!

By Chinmay J D

Jan 10, 2019

Well explained!! Very basic course for python beginners

By Jorge G

Nov 8, 2021

Thank you for a well define lectures and lab exercises

By IVAN A C S

Aug 17, 2021

Amazing course! I've learned a lot about data analysis

By Nicholas C

Oct 7, 2020

Such a nice course. It's worth all the time and effort

By Farzana S

May 23, 2020

Very informative course but quite tough for a beginner

By HAROLD F P C

Apr 29, 2020

The theory is so short but the practice are very good.

By Snehal G

Apr 27, 2020

The course content is great. Thank you for the support

By Javier I R V

Dec 9, 2019

great course, it really hard but you obtain new skills

By Mahammad H K

Nov 14, 2019

I like this course. Plenty learning for future skill !

By Nay L

Jul 13, 2019

Nice overview of data analysis capabilities of python.

By Daniel L

May 30, 2019

A big TNAKS to Joseph Santarcangelo, amazing training.

By Niharika V

Feb 16, 2019

It's very helpful to kick start career as Data Analyst

By Alex S

Jan 17, 2019

The statistical concepts are well and simply explained

By Suprabhat D

Nov 25, 2018

Highly recommended for beginners and intermediate!! :)