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

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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.

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Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.

I appreciate the coordinators in making it possible. Thank you.

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2726 - 2750 of 2,855 Reviews for Data Analysis with Python

By Gerhard E

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Feb 12, 2019

Copy of videos, not a fan of tools used in labs

By Aditya D J

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Mar 8, 2022

Nice, but I can't try IBM Cloud Trial for free

By Nicholas P

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Sep 8, 2022

Final Project grading system was messed up.

By Yasmin A

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Feb 3, 2020

Un cours riche et adéquat pour les débutants

By Ambe E

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Nov 27, 2019

Very nice course. It gives you what you need

By Brian S

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Mar 29, 2020

Notebooks are sloppy, with typos and errors

By AVNISH R

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Apr 6, 2022

I am not able to download my certificate.

By Fariha M

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Sep 28, 2020

The course didn't seem challenging to me.

By Sachin L

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Sep 26, 2019

More examples and detailed explanation

By Nilanjana

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Jul 12, 2019

More examples and code examples needed

By Hamed A

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Apr 8, 2019

The course needs a final assignment!

By piyush d

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Dec 6, 2019

exercises could have been better.

By Jyoti M

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Mar 26, 2020

I felt it was too fast to grasp.

By Baptiste M

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Nov 2, 2019

Final assignment is quite messy

By Murat A

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Apr 21, 2021

could not access the labs.

By Yuanyuan J

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Jan 17, 2019

Not clear on the last part

By Ahmad H

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Jun 8, 2019

This course is very tough

By conan s

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Dec 20, 2019

Lots of technical issues

By David V R

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Jun 17, 2019

Exams should be harder

By Riddhima S

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Jul 8, 2019

la lala la la laa aaa

By Daniel S

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Feb 8, 2019

Not easy to follow.

By Diego F C I

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Sep 7, 2024

Videos en Español

By Allan G G

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May 10, 2022

Muy poco practico

By TATOU D T

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Sep 27, 2021

très bon cours

By Vidya R

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Apr 16, 2019

Very Math!