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

18,680 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!

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1851 - 1875 sur 2,325 Avis pour Data Science Methodology

par Usman S

25 août 2019

i think going into more depth would have been great


10 févr. 2019


Am confident to say am a "Confident Novice DS"

par xumin C

20 déc. 2018

The Course clarified the procedure of data science.

par Redi S

30 avr. 2018

great to start my process learning of data science

par Jayanthi P

6 nov. 2022

Find it very good. Narration can be more precuse,

par Iddrisu R

20 mars 2022

Good explanations with indepth llustillustrations

par Omar F

16 avr. 2020

Need more explaining of the analytical tools used

par Md A H

7 oct. 2019

Please make it little bit more easier and slower.

par Piyush C

31 mai 2019

There Should be more description on methodologies

par Pankaj K G

30 juin 2020

this course includes a lot of conceptual topics.

par Mehregan K

28 mars 2020

good content but quizzez have more than 1 answer

par Rafed A

17 déc. 2019

was hard a little bit but I manage to learn alot

par Aditya V

19 févr. 2022

image used in the explanation are often blurred

par Abdelkareem H

19 juin 2020

Excellent videos. Somehow difficult case study.

par Himanshu S

21 avr. 2020

Provides a good overview in a very short time.

par Steve H

21 janv. 2020

assignment could be more specific and practical

par Jay J

10 sept. 2019

Poorly graded final submission with no comment.

par Abhishek S

21 févr. 2019

Good for Understanding Data Science Methodology

par Abdullah T A

28 déc. 2021

Really good. but some concpets are still fuzzy

par trung n

30 août 2020

The first useful course in the specialization.

par Swati N

30 mai 2019

Case study should be explained in more detail.

par Hai N D

20 août 2018

Great for who want to know about data science.

par Saurabh S

27 sept. 2020

Very comprehensive and understandable course.

par Suresh M

30 avr. 2020


par Sandra O

1 juin 2020

It was a bit tough grasping certain concepts