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

4.6
étoiles
16,965 évaluations
2,066 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!...

Meilleurs avis

AG
13 mai 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 :)

JM
26 févr. 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.

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1901 - 1925 sur 2,067 Avis pour Data Science Methodology

par Ariel E

31 janv. 2019

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

par Fabrice A

7 oct. 2019

the video lectures was really fast making it difficult to understand

par Philipp K

12 juin 2019

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

par Hareesh T

31 janv. 2019

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

par Vasudev S

7 juin 2020

Make this course more intuitive rather than being just all theory.

par Gokul N

18 avr. 2020

Too theortical course ,could have an eaiser case study to explain

par Mohammad Q

21 août 2019

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

par Paren A

9 mars 2019

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

par Harishankar

11 avr. 2020

The video narration is so boxy type, and need to be interactive.

par Michael O

15 avr. 2021

A good introduction to some of the basic ideas of data science.

par Amanda C

18 déc. 2019

This course teaches memorization of a proprietary flow chart.

par Sourabh S

9 mai 2020

Very Theoritical Course, and honestly a bit boring as well.

par Avinash K

19 févr. 2020

Bit confusing - especially the analytical approach chapter.

par Veera v p p P

8 sept. 2020

Modelling and Evaluation needs more examples for beginners

par hassan a

17 mai 2020

Course is more on theory but less on practical approach

par Chris L

15 oct. 2019

common sense is rated as professional in this course.

par Aleix C T

17 juil. 2019

good content, surprisingly weak delivery and teching

par Leandro S

8 mai 2020

More deep treatment for some concepts are necesary

par V S G

12 avr. 2020

More real-time cases can help to understand better

par Mohamed K

23 déc. 2020

The case study in the video was a bit complicated

par Julio R G

17 janv. 2020

Too many terms without explanation as to meaning.

par Harpreet

28 mai 2019

please update video with new IBM cloud UI screen

par Quang T Đ

2 déc. 2020

More examples for each phase of the methodology

par Vladimir R

6 oct. 2018

confusing questions about the same subject

par Deepanshu G

17 mai 2020

content is good but can be more engaging.