Chevron Left
Back to Data Science Methodology

Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,241 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

DP

Invalid date

This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.

CE

Invalid date

The course is well structured but the case studies were not well elaborated, felt like I was struggling to understand. Also, Data science methodology should be taught after a course in Python.

Filter by:

901 - 925 of 2,557 Reviews for Data Science Methodology

By raviteja g

•

Jun 1, 2019

Very helpful in understanding data science methodology.

By Carol w

•

Mar 31, 2019

very helpful to know the process of data mining project

By Juan M

•

Jan 23, 2022

Really informative course full of valuable information

By Uriel C

•

Mar 24, 2021

Te da una idea de general de como comenzar a trabajar.

By Michael G

•

Nov 9, 2020

it really helps show a path to follow in data science.

By Naveen P

•

Aug 15, 2020

Very essential for learning and understanding purpose.

By Hermie D

•

May 12, 2020

Very clear presentation and explanation of the topics.

By Zoellick D

•

Apr 26, 2020

It's very educative with well articulated case studies

By Shiva k

•

Apr 13, 2020

It would have been more descreptive with more content.

By Ivan I

•

Mar 21, 2019

Very intuitive course . Thanks for making it possible.

By Vladimir T

•

Apr 2, 2022

Great introductory course for future data scientists.

By Dr. S U R

•

Nov 6, 2021

An amazing learning experience, great value addition.

By Juan E M A

•

Aug 28, 2021

Great methodology to learn how to be a data scientist

By Christopher M

•

Oct 9, 2020

It was fun. I learned a lot in a short about of time.

By Vineet J

•

Aug 30, 2020

Excellent work ! Looking forward for more information

By anish k

•

Jul 2, 2020

very good content to understand what is data science.

By Ajay S

•

Mar 20, 2020

great theoretical course on data science methodology.

By Rishikesh P F

•

Jan 22, 2020

Good introdcutory course to Data Science Methodology.

By Moteb M

•

Dec 25, 2019

Many Thanks to Coursera and IBM offering this course

By Rituraj S

•

Dec 7, 2019

Course was lit.. easy to understand and lot to learn.

By Thorsten

•

Jun 24, 2019

A very useful course taught with a case-study method.

By Sravan K C

•

Mar 27, 2024

Very Important Course regarding professional course.

By Prince O

•

Jul 31, 2023

Coursera has an excellent way of teaching. i like it

By Kennedy E

•

Nov 26, 2022

i love the practical knowledge that is being shared

By Danirla D

•

Jul 23, 2021

excellent case studies in teaching the methodologies