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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,449 ratings
1,806 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 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.

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.

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526 - 550 of 1,786 Reviews for Data Analysis with Python

By Xiong J

Jan 8, 2020

The practice after the lecture should be more difficult. This is too easy...

By Pouyan K

Jul 23, 2019

it is not a very organized course, the material is not explained explicitly.

By Hadi S

Jun 14, 2019

This course helped me to enhance my knowledge of data analysis using Python.

By Eik U H

Dec 12, 2018

It would be nice if teaching staff could correct notified errors in quizzes.

By Dr. A J

May 28, 2020

course was very informative and very well organized. Full credit to teacher

By Nikhil J

Apr 18, 2020

Neatly structured. Great course. Will recommend to anyone interested in DS.

By Sergi R

Apr 15, 2020

Muy buena visión de los pasos a seguir para generar un modelo y verificarlo

By Hashum A

Apr 7, 2020

this course is very excellent they give you depeath knowledge of statistics

By Revalda P

Jul 24, 2019

This course is great, it covers the foundation of Data Analysis with Python

By Junaid A

Feb 20, 2019

More than sufficient overview of SQL and how to use it in jupyter notebook.

By mohammad f a

May 1, 2020

Awesome course data enthusiast must take this course . Best course content

By Johann F R P

Apr 19, 2020

Excelente, felicitaciones a los creadores del contenido y de los Notebooks

By Gerardo J P

Mar 25, 2020

A very good course to start learning Python and, of course, data analysis.

By Yohanes

Jan 21, 2020

It's Good for people who wants to know python and data analysis for newbie

By KUMAR B P

Mar 12, 2019

The course is unique in it's own way, simple in understanding and applying

By Haley T

Jan 16, 2019

One of my favorite courses on Coursera. I have learned a lot about Python.

By Carolina Z O

Aug 28, 2020

Es un curso completo, con el recurso del laboratorio de IBM es excelente.

By Alejandro G

Apr 24, 2020

The topics are well explain to catch up in statistical terms and concepts

By Geetha N

Mar 2, 2020

Well thought off module as well inputs and project work are well designed

By RICARDO R A

Feb 17, 2020

Excelente curso, los laboratorios brindan una mejor comprensión del curso

By Saad Z

Nov 7, 2019

Probably the best to teach data analysis using Python. Thank you so much.

By Kalpa

Apr 18, 2019

Hands on and practical course, Lab exercises help to drive in the methods

By Towhidul I

Aug 5, 2020

Tough course but a perfect one for becoming an effective Data Scientist!

By Mugdha V

May 7, 2020

Overview of major Python libraries and methods useful for data analysis.

By CBS

Feb 8, 2020

Great Course........excellent introduction to data analysis with python.