Learner Reviews & Feedback for Data Science Methodology by IBM

4.6

stars

20,486 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:

2076 - 2100 of 2,583 Reviews for Data Science Methodology

By Rex S

•

Jun 15, 2023

Known Many thing about Data Science Methodology

By Aditya V

•

Feb 19, 2022

image used in the explanation are often blurred

By Abdelkareem H

•

Jun 19, 2020

Excellent videos. Somehow difficult case study.

By Himanshu S

•

Apr 21, 2020

Provides a good overview in a very short time.

By Steve H

•

Jan 21, 2020

assignment could be more specific and practical

By Jay J

•

Sep 10, 2019

Poorly graded final submission with no comment.

By Abhishek S

•

Feb 21, 2019

Good for Understanding Data Science Methodology

By David P

•

Mar 22, 2023

excellent conceptualizations and hands on labs

By Abdullah T A

•

Dec 28, 2021

Really good. but some concpets are still fuzzy

By trung n

•

Aug 30, 2020

The first useful course in the specialization.

By Swati N

•

May 30, 2019

Case study should be explained in more detail.

By Hai N D

•

Aug 20, 2018

Great for who want to know about data science.

By Dutta S B

•

Oct 17, 2023

THe course covers the basics of data science.

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 O

•

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!