Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,631 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

Top reviews

Jul 28, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

Jul 16, 2020

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!

Filter by:

2951 - 2975 of 3,119 Reviews for Data Analysis with Python

By Tichaona M

•

Aug 5, 2020

This is a great course for building the base to use Python!

By 林tanya

•

Dec 27, 2019

the lab is extremely useful, however, videos are too short

By Michael A D R

•

Nov 1, 2019

Extremely interesting BUT it gets long and hard to follow.

By Nihal N

•

Apr 18, 2019

not in depth.... needs more clarity on a variety of topics

By Alejandro A S

•

Jul 25, 2019

Experimented a lot of problems to complete the assignment

By Troy S

•

Mar 14, 2019

Quizzes are too easy. Don't even need to watch the videos

By Anurag P

•

Jan 18, 2020

Mostly theoretical; very little to implement on our own.

By Pulkit D

•

Jun 29, 2019

Please update and explain Rigid Regression a little more

By Ghulam M

•

Jul 23, 2024

there is just lot's of rough discussions in my openion.

By Appa R M

•

Oct 24, 2019

The kernal is stuck for some questions and its annoying

By Qing L

•

Jan 26, 2020

Kurs gut organisiert aber

die Fragen sehr oberflächlich

By Jakubina K

•

Dec 19, 2018

It would be more useful if labs were be rated as well.

By Ankit K S

•

Jan 29, 2020

It would be nice if the course had more assignments.

By Sudipta S

•

May 19, 2024

not that deep but I learnt a lot thanks to the team

By Bhanu S

•

Apr 28, 2019

It was difficult to retain the knowledge imparted.

By Alton M

•

Jun 8, 2019

The course requires more interactive programming.

By Xiangyu L

•

Jan 19, 2019

There are lots of mistakes throughout the courses

By Mrinmoy G

•

Aug 14, 2024

i need certificate for data analysis with python

By Abdul M A

•

Apr 17, 2019

Not very interactive with fewer help to learners

By Ashwin G

•

Apr 26, 2019

Too fast and could have included more examples.

By Gerhard E

•

Feb 12, 2019

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

By Aditya D J

•

Mar 8, 2022

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

By Nicholas P

•

Sep 8, 2022

Final Project grading system was messed up.

By Yasmin A

•

Feb 3, 2020

Un cours riche et adéquat pour les débutants

By Ambe E

•

Nov 27, 2019

Very nice course. It gives you what you need