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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 ratings

About the Course

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

Top reviews

LM

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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

AB

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Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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826 - 850 of 2,855 Reviews for Data Analysis with Python

By Eik U H

Dec 12, 2018

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

By Ricardo O

Feb 7, 2022

O Coursera sempre surpreendendo com seus conteúdos. Altamente recomendavél.

By Dustin E

Jul 29, 2021

One of the most informative and hands-on courses that I have done thus far.

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 Jano D G

May 24, 2024

Very useful tools to expand your statistical analysis and machine learning

By Elnaz J

May 25, 2023

Very well organized and approprite assignmens along with many useful labs.

By Rhonda M A

Jul 8, 2022

Great Course with ample opportunities to utlize the material via the labs.

By Omar E

Jun 21, 2022

IT'S A VERY HELPFUL COURSE FOR ANY BEGINNER IN DATA ANALYSIS USING PYTHON.

By Harsha K

Sep 10, 2021

Very very happy with the course thank you IBM for this amazing opportunity

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 Ali S

Aug 26, 2024

That's absolutely awesome and effective. special thanks to Coursera team.

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