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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.

AA

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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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2801 - 2825 of 2,855 Reviews for Data Analysis with Python

By Malcom L

Jan 11, 2019

more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.

By Santanu B

Apr 16, 2019

Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.

By Rajesh W

Oct 17, 2018

There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.

By Wayne W M

Oct 2, 2019

This was a very challenging course. Some concepts were difficult to grasp and required additional research

By Mark F

Apr 8, 2020

Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.

By Hunter I

Apr 17, 2020

Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more

By Ashwin D

Apr 29, 2020

Not enough hands on problems, including variety and volume. Expected more from an IBM program.

By Nathaniel S

Mar 29, 2020

Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.

By Katherine L

Jun 5, 2022

coursework was easy but that damn final assignment was absolute hell for no reason whatsoever

By Edwin S J

May 25, 2019

Suddenly introduced complex codes and statistical functions. Videos were way too fast.

By Somak D

Oct 30, 2018

moderators do not respond to questions raised in forum. leading to incomplete learning

By Syed I B S A

Jun 10, 2021

Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.

By ekta s

Mar 1, 2023

too many advanced math concepts used but no explanation of any of them.

By Sahar A

Oct 3, 2021

it was too fast and I didn't understand a lot of things

By Jen E

Jul 31, 2019

So many problems with the lessons and the final project.

By TOUIL M

Sep 4, 2024

Something is off with the assignments of this course

By Rasmi D

Jun 18, 2019

very high level... topics not covered in depth

By Ahmed E

Aug 8, 2020

some commands are not fully explained.

By Pradeep Y

Dec 16, 2021

it is very easy courses

By Jonas T

Apr 21, 2023

Needs Improvement.

By RAHUL P

Nov 19, 2023

good

By 121910319041 M P

Apr 8, 2022

good

By Willy O M

May 19, 2023

A lot of improvement and updates must be done, it's really poorly explained and definitely not for beginners , if i put put myself in a beginner's shoes there is no way i would understand this. 90% of the LABs have issues or not working, getting help from support is a nightmare. This is definitely not how to teach people with zero knowledge, they won't make. I hope that you will take your time and improve it this time because so many people already left 1 star reviews from years ago but still no improvement. I even wonder how this got a 4 stars rate.

By Sébastien F

May 25, 2022

This is the 7th of the 10 modules of IBM data science certificate :

What is Data Science? Tools for Data Science Data Science Methodology Python for Data Science, AI & Development Python Project for Data Science Databases and SQL for Data Science with Python ==> Data Analysis with Python Data Visualization with Python Machine Learning with Python Applied Data Science Capstone

A very dense module, specially the week 5. Labs are confuse and should be reviewed and restructured.

By far the most important module for now, and unfortunately the worst too.

By Diogenes C

Jun 3, 2021

Once again, the course forces you to use IBM Cloud, a service which on its free version is completely unreliable.

If you want to learn python, I suggest any other resource on the internet, in which you will spend your time learning to code, instead of dealing with the problems of using IBM Watson Studio. Or if you're looking to validate your knowledge, I also suggest looking for any other course, and not IBM's.