Chevron Left
Retour à Data Science Methodology

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

18,673 évaluations

À propos du cours

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. Most of the established data scientists follow a similar methodology for solving Data Science problems. In this course you will learn and then apply this methodology that can be used to tackle any Data Science scenario. The purpose of this course 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 practicing data science - Forming a business/research problem, collecting, preparing & analyzing data, building a model, deploying a model and understanding the importance of feedback - Apply the 6 stages of the CRISP-DM methodology, the most popular methodology for Data Science and Data Mining problems - How data scientists think! To apply the methodology, you will work on a real-world inspired scenario and work with Jupyter Notebooks using Python to develop hands-on experience....

Meilleurs avis


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 :)


18 juin 2021

Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!

Filtrer par :

1876 - 1900 sur 2,325 Avis pour Data Science Methodology

par Maxime C

12 mai 2019

Good intro - just light on technical details

par Katja K

27 janv. 2019

It would be useful to give us more examples.

par Luís A

15 juil. 2019

A little confuse or fast paced for beginers

par Billy J C

21 juil. 2020

Good course, concise and get to the point.

par nimish j

6 juin 2020

good but should cover atleast 2 case study

par Kaung H H

7 déc. 2022

Great Course. The explanations are clear.

par José R

28 nov. 2019

Very interesting. Gives a good framework

par Vasant C

2 juin 2019

Great introduction to data science steps

par Prabanjan C

22 janv. 2020

Fast paced! More of theoretical videos!

par Jimmy W

30 oct. 2020

feel confidence and will keep walking

par Sameer M

13 juin 2019

very nice way of explaning the course

par Srushti D

20 avr. 2020

very knowledgable easy to understand

par A A A

9 avr. 2020

Very useful. learning lots of tricks

par Jiyuan K

29 août 2019

lack of Python programming knowledge

par Abdullah A

19 juil. 2019

Content should be explained further!


21 avr. 2020

It was great to know the methodolgy

par Seelam B

21 févr. 2020

good platform to learn data science

par Angam P

13 juil. 2019

Course is good for fresh beginners.

par Sweeti S D

18 janv. 2023

complete kwoledge enriching course

par Aleksandr K

25 juin 2019

Somewhat boring, but useful course

par Aishwarya C S

4 août 2022

Excelent videoes

and explanation

par Samantula K

23 avr. 2021

videos would be more interactive.

par Michel R

11 avr. 2020

Good overview of the methodology!

par Shivam K M

6 févr. 2020

please make it more informational


29 sept. 2021

This course was very informative