Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,414 ratings

About the Course

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python....

Top reviews

May 13, 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

Feb 26, 2020

Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.

Filter by:

2101 - 2125 of 2,571 Reviews for Data Science Methodology

By Michel R

•

Apr 11, 2020

Good overview of the methodology!

By Shivam K M

•

Feb 6, 2020

please make it more informational

By SANDRA J

•

Sep 29, 2021

This course was very informative

By Ahmad I M A

•

Dec 31, 2019

The courses was helpful and rich

By Tim D W

•

Oct 16, 2019

Good overview of the methodology

By Abhishek M

•

Aug 3, 2019

Approach explained beautifully..

By Aditya M C

•

Oct 27, 2019

NICE COURSE mostly a subjective

By Mason C

•

Jul 22, 2019

Clear and simple to understand.

By thippeswamy m

•

Apr 20, 2024

Really good for Data Engineers

By Raghavendra B

•

Nov 23, 2021

Good explanations or examlpes.

By Sneha M

•

Nov 20, 2021

This course enhances my skills

By Samuel O

•

Jul 4, 2019

I learnt alot from this course

By Abhishek J

•

Jan 27, 2019

More over theoretical course..

By Sai K K

•

Aug 4, 2021

Good to Learn, Helps me a lot

By Ganesh N

•

Oct 1, 2023

Extremely useful foundation.

By Saidi I

•

May 10, 2020

It seemed a bit hasty for me

By Rohan S

•

Aug 10, 2019

Good coverage of the topics.

By Souro C

•

May 8, 2019

Good material for beginners.

By Basavaraj P G

•

May 16, 2020

Explanation is really Good.

By Nícolas A d C M

•

Jan 27, 2019

A bit confusing, but great!

By Farrukh N A

•

Sep 15, 2019

Good Beginner Level Course

By liz a

•

Jul 23, 2019

it was a great course, fun

By Richard v R

•

Feb 15, 2021

Clear and easy to follow.

By Jaydeep D

•

Nov 29, 2018

Good introductory course.

By Elijah A

•

May 8, 2023

Excellent and Productive