Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,979 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

Aug 7, 2024

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.

May 16, 2021

A bit more complex than what I would have hoped, but the material is still digestible. I think this course could be improve if the lecturer slow down a bit and spend more time on each topic

Filter by:

2151 - 2175 of 2,661 Reviews for Data Science Methodology

By biblio p

•

Sep 27, 2020

Very comprehensive and understandable course.

By Suresh M

•

Apr 30, 2020

VERY NICE TO LEARN DATA SCIENCE METHODOLOGIES

By Sandra I

•

Jun 1, 2020

It was a bit tough grasping certain concepts

By Maxime C

•

May 12, 2019

Good intro - just light on technical details

By Katja K

•

Jan 27, 2019

It would be useful to give us more examples.

By Luís A

•

Jul 15, 2019

A little confuse or fast paced for beginers

By Billy J C

•

Jul 21, 2020

Good course, concise and get to the point.

By nimish j

•

Jun 6, 2020

good but should cover atleast 2 case study

By Kaung H H

•

Dec 7, 2022

Great Course. The explanations are clear.

By José R

•

Nov 28, 2019

Very interesting. Gives a good framework

By Vasant C

•

Jun 2, 2019

Great introduction to data science steps

By Prabanjan C

•

Jan 22, 2020

Fast paced! More of theoretical videos!

By Amit K S

•

Jul 14, 2025

Well structured and excellent contents

By Chin-hui W

•

Oct 30, 2020

feel confidence and will keep walking

By Sameer M

•

Jun 13, 2019

very nice way of explaning the course

By Srushti D

•

Apr 20, 2020

very knowledgable easy to understand

By A A A

•

Apr 9, 2020

Very useful. learning lots of tricks

By Jiyuan K

•

Aug 29, 2019

lack of Python programming knowledge

By Abdullah A

•

Jul 19, 2019

Content should be explained further!

By NITESH V G

•

Apr 21, 2020

It was great to know the methodolgy

By Seelam B

•

Feb 21, 2020

good platform to learn data science

By Praveen

•

Jul 13, 2019

Course is good for fresh beginners.

By Sweeti S

•

Jan 18, 2023

complete kwoledge enriching course

By Aleksandr K

•

Jun 25, 2019

Somewhat boring, but useful course

By jovana b

•

Jul 24, 2025

very well organized and explained