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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,252 ratings
1,772 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

RP

Apr 20, 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.

SC

May 06, 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.

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601 - 625 of 1,753 Reviews for Data Analysis with Python

By ANNA B

Oct 13, 2018

Great course!

you get all needed material to analyse a dataset!

By Pasam P K

Jul 18, 2020

Heavy Brainstorming for Beginners and that's actually good :)

By Russel A

Jul 15, 2020

Excellent Lectures. A wonderful experience learning Analytics

By Anuj K

May 22, 2020

structured course to get started on data analysis with python

By Azman A

May 04, 2020

Great Content , balanced and well delivered to guide learning

By Vibhor G

Apr 29, 2020

Much needed course for those who are from a different fields.

By Friscian V C

Jan 20, 2020

best course so far! lot's and lot's of information, loved it.

By Siddharth C

Jan 13, 2020

The whole course was very interactive and easily understable.

By hassan s

Aug 19, 2019

Thank god - Nice course and good perception of understanding.

By Amruta G

Jul 20, 2020

It is the best course for beginners to start with .Thank you

By Robin V

Mar 05, 2020

The course is well designed. Learned the concepts very well.

By Maaz A

Apr 14, 2019

One the very well defined and finest course I have ever seen

By Brian V

Mar 25, 2019

At least, I have learnt something new at a very basic level.

By Matheus L T A

Mar 15, 2019

Great! Filled with lots of concepts and practical exercises!

By Muhammad R

Mar 09, 2019

Good Course ,learn mant things about Data science in details

By David C

Dec 20, 2018

This one was a little more difficult than the previous ones.

By Gene M A

May 27, 2020

Well though-out format for teaching such a complex subject.

By Mpho L C

May 17, 2020

The course was awesome and delivered in an efficient manner

By Varun S

May 08, 2020

Extremely good course to begin your Data Science Journey !!

By Ninan A

Apr 01, 2020

Good course to quickly learn basics and start experimenting

By Mahomet N

Feb 24, 2020

The best course I've ever had on Coursera, very insightful!

By Ivan R A V

Feb 24, 2020

Excelente, muy agradecido por los conocimientos adquiridos.

By Zayed R

Sep 02, 2019

This course is providing valuable insight in Data analysis.

By Thanh C D

Jun 14, 2019

Great Course! A lot of advanced knowledge. Very valuable <3

By Yves B

Mar 03, 2019

Very thorough teaching of statistical analysis using python