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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.

BM

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Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should.

A good starter course to wet your feet in DA!

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2801 - 2825 of 2,859 Reviews for Data Analysis with Python

By Ismael S

Jun 2, 2019

Content is thrown to the student with too much information and videos of only 3-4 minutes. Too much to absorb and too little to practice properly

By David K

Apr 28, 2020

Too many errors. Please renew the course asap for the future learners. These errers are distracting and make the learning experience less fun.

By Archana B

Apr 28, 2021

Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(

By Tarun S

Mar 10, 2021

Concepts of the algorithms are unclear. In the notebooks as well, it is not in a flow. Very confusingg for a beginner to learn from this.

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