Chevron Left
Retour à Data Science Methodology

Avis et commentaires pour d'étudiants pour Data Science Methodology par IBM

4.6
étoiles
10,582 évaluations
1,063 avis

À propos du cours

Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Meilleurs avis

AG

May 14, 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 :)

SJ

Aug 09, 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

Filtrer par :

951 - 975 sur 1,060 Avis pour Data Science Methodology

par Cornea D A

Sep 12, 2019

Some summarized text support would have been useful for the final assignment.

par Hassan B

Aug 20, 2019

It's good course but still need more explanations and examples to be clearer.

par Amir S

Jun 08, 2019

The assignment is not very clear. The example had better to be more iterative

par Francesco

Nov 01, 2018

a slight bit more technical than the previous two courses. Getting there ..

par Yadder A G

Dec 08, 2019

I think that should have more information. And quizzes should be harder.

par Taimore I A

Jul 30, 2019

Case study should be covered in more detail. The other content is good.

par Ariel E

Jan 31, 2019

I'd like to see exercises where we can practice the methodology phases

par Fabrice A

Oct 07, 2019

the video lectures was really fast making it difficult to understand

par Philipp K

Jun 12, 2019

too much information on slides. Use more pictures for visualization.

par Hareesh T

Jan 31, 2019

An introductory overview of what Data Science actually is meant for.

par Mohammad Q

Aug 21, 2019

Good Methodolgy but I feel like I need more explaination about it

par Paren A

Mar 09, 2019

Nice overview, but brushed over far too many topics very briefly.

par Amanda C

Dec 18, 2019

This course teaches memorization of a proprietary flow chart.

par Chris L

Oct 15, 2019

common sense is rated as professional in this course.

par Aleix C T

Jul 17, 2019

good content, surprisingly weak delivery and teching

par Julio R G

Jan 18, 2020

Too many terms without explanation as to meaning.

par Harpreet

May 28, 2019

please update video with new IBM cloud UI screen

par Vladimir R

Oct 07, 2018

confusing questions about the same subject

par Sakir A

Aug 06, 2019

The cognitive classes can be improved.

par David N B

May 24, 2019

Very little assistance from Moderators

par Tushar M

Jan 24, 2020

the course content requires an update

par Deepratna A

Jun 22, 2019

Could have made it more interesting

par Thomas M

Oct 17, 2019

Not great quality of video content

par Abhijeet B S

Jun 03, 2019

CHF case study was the worst part

par Ali M R H

Oct 03, 2018

The case study was hard to follow