Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,347 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鈥檒l 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鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l 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鈥檒l not only develop strong data analysis skills but also earn a 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement....

Top reviews

Apr 20, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

Jul 29, 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.

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2876 - 2900 of 3,060 Reviews for Data Analysis with Python

By Maciej L

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May 16, 2019

Too many complicated things happening at once. It is hard to digest and follow.

By Tomasz S

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Nov 20, 2018

Few small hiccups with the training videos and quite a few in the lab-excercise

By Craig S M

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Mar 21, 2022

It ok. Some parts of the course were bare bone. I liked the hands on sections.

By Steven B

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Jun 4, 2020

Overall I felt it was not broken down very well and seemed confusing at time.

By Pierre-Antoine M

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Feb 20, 2020

Videos are nice but they are mistakes in the notebooks that disturbs learning

By Toan N

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Mar 27, 2020

The lab is disconnected every so often that can't complete it smoothly.

By Jessica B

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Jun 14, 2019

Good content, but lots of typos. The outsourcing is extremely evident.

By RODOLFO C R

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Jan 25, 2022

This course focus on very important subjects but in a sketchy aproach

By Arjun S C

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Aug 15, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.

By Anvit S

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May 13, 2020

Could have been more detailed....Important concepts just brushed thru

By Nourhan A Y

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Aug 29, 2024

This course needed to be updated it lacks a lot of important basics

By Dibyendu M

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May 20, 2023

The practical lab having technical issue .PDF is not downloadable.

By Holly R

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Apr 16, 2020

Could use some better mathematical description of the techniques.

By Filippo M

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Sep 27, 2019

Useful course, but the IBM online platforms are not working well.

By Robert P

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May 17, 2019

Some concepts were quite confusing and not that well explained.

By Atharva Y

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Jan 23, 2020

As compared to other courses this course seems to be too fast

By Nirav

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Jun 26, 2019

Lot's of errors in this course, please update and correct it.

By Phetole E R

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Jun 16, 2023

The course material did not prepare me for the final project

By Anmol P

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Oct 15, 2019

Course could have been more elaborate in depth and scenarios

By Tichaona M

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Aug 6, 2020

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

By 鏋梩anya

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Dec 28, 2019

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

By Michael A D R

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Nov 2, 2019

Extremely interesting BUT it gets long and hard to follow.

By Nihal N

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Apr 18, 2019

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

By Alejandro A S

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Jul 25, 2019

Experimented a lot of problems to complete the assignment

By Troy S

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Mar 15, 2019

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