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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
19,899 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

AG

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 :)

JM

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.

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1851 - 1875 of 2,503 Reviews for Data Science Methodology

By Pawan P

Apr 14, 2023

good course but video explanation in not good , and his content not understandbel overall good course.....

By Nwoke C

Jun 3, 2020

The sited examples in this course makes the learning easily understandable. Of course, everyone likes food

By Kumar G

Jun 28, 2022

Understanding Python part without having prior knowledge is confusing & led to somewhat loss of interest.

By VICTOR A C C

Jan 22, 2021

Excellent For Fundamentals on methodology, would like to learn more about Prescriptive Analytic approach.

By Leonardo R

Oct 8, 2018

I think some parts of the course wasn't clear enough, but by researching on google about it helped a lot.

By Samuel L

May 27, 2022

Very good and easy to follow, although more in-depth examples of different model would have been a plus.

By Rohit A

Oct 20, 2019

This course was interesting but I felt that it was slightly confusing to apply for the final assignment.

By Kevin W

Mar 25, 2019

It is a bit challenging for beginners but totally worth it. Ensure you read listen to the material well.

By Monica S

Sep 4, 2018

Pretty solid information. Great for the novice with no background. Loved that it was basic and useful.

By Joshua A (

Jan 27, 2022

Some interactive activities like vocabulary matching may help with recall and word/process definitions.

By Utsav D

Oct 7, 2020

i think this course needs more practice cases so we can get much more comfortable with the methodology

By Siwarak L

Sep 21, 2019

Some of the detail was briefly covered, learners need to research more from other educational sources.

By BAO W

Sep 2, 2019

Since I believe this course is an important stage of the certificate, three sections may be too short.

By David G

Jan 11, 2024

Un excelente marco que permite comprender el problema antes de abordar e implementar una estrategia.

By Germán G

Oct 19, 2021

More examples are needed and that the modeling programs have more comments to know what is happening

By Vasanthaenian S

Apr 2, 2020

It gives a brief introduction to Data Science Methodology and explains it well with proper examples.

By Friscian V C

Nov 21, 2019

I enjoyed the course thoroughly but I wish more details were given for a deeper learning experience.

By Shivam M

Aug 1, 2019

The methodology is good for creating a framework within which data analytics problems can be solved.

By Barış O

Dec 23, 2023

its not realy enough for experimental teaching. but it can explain the things clearly with examples

By JOAQUÍN M A

Feb 4, 2021

I think the final peer reviewed assignement should have more detail, more focused and not so "free"

By Sergio H G

May 23, 2020

Very detailed and instructive way to put some frame on possible future data science project to face

By Mohamed H I

Jul 28, 2018

good as an overview. But for me it was more theoretical concepts than on hand practicing practical.

By Haris A

Aug 26, 2021

I have a unique experience to how to handle big data to find the answers to the business problems.

By Laken B

Apr 10, 2020

Really enjoyed this! Hopefully it keeps getting better! Final assignment was also very well done!

By Nathan P

Oct 10, 2019

Good overview of key methods in data science. Sometimes wish they went into a little more detail.