Chevron Left
Back to Data Science Methodology

Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,954 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

MB

Sep 19, 2020

It is self paced giving a good grounding on the subject provided you are an inquisitive & enthusiastic learner. It does not provide a deep dive but gives a road map for self learning.

JG

Nov 30, 2019

This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).

Filter by:

926 - 950 of 2,656 Reviews for Data Science Methodology

By Yash J

•

Apr 19, 2020

Helps in understanding Data Science Methodology clearly

By Maurício

•

Dec 4, 2019

Methodology is essencial for developing a good project.

By Collin C

•

Dec 3, 2019

A well organized explanation of the scientific process.

By Rohitaksh G

•

Aug 1, 2019

Wonderful illustration of the Data Science Methodology.

By raviteja g

•

Jun 2, 2019

Very helpful in understanding data science methodology.

By Carol w

•

Apr 1, 2019

very helpful to know the process of data mining project

By Juan M

•

Jan 24, 2022

Really informative course full of valuable information

By Uriel C

•

Mar 25, 2021

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

By Michael G

•

Nov 10, 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 13, 2020

Very clear presentation and explanation of the topics.

By Zoellick D

•

Apr 27, 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 22, 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 29, 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 31, 2020

Excellent work ! Looking forward for more information

By anish k

•

Jul 3, 2020

very good content to understand what is data science.

By Ajay S

•

Mar 21, 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 25, 2019

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