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

4.6
étoiles
18,662 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

TM

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!

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 :)

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201 - 225 sur 2,324 Avis pour Data Science Methodology

par Alejandro G

16 févr. 2020

Muy completo, y entendible acerca de cómo convertir un problema en un proyecto solucionable a través de la data, siguiendo simplemente unos pasos y pensando con un poco de creatividad.

par Israel N M

19 août 2019

This course is a great overview of the process of analyzing a data set. I feel a lot more ready for a Data Analysis job after this course than I did before. So glad I chose to take it.

par LO W

27 juin 2021

Purely the Methodolody of Data Science. It is good for those who want to know the big picture or the working flow of Data Science. It is necessary to take other courses to go deeper

par Xing W C

19 mai 2022

Very helpful in helping students to understand the general methodollogy of data science and how the model can be iteratively improved for higher accuracy in production environment.

par Kalyan P

11 oct. 2019

By this course you will be able to think like a Data Scientist. The methodologies explained in the course rebuilds my mind in thinking about how I should approach solving problems.

par Adeyemi O O

2 févr. 2020

I thoroughly enjoyed this module and will go back to reread it several times over. This is the foundation of everything I will be doing in the future. I want to be grounded in it.

par Edwin S

2 mai 2020

Love the CRISP-DM methodology and the examples given to illustrate each step. Definitely needs to be a standard procedure for any company wanting to develop data-driven analysis.

par Matej K

13 sept. 2019

Very well done course that explains all the stages of a data science project with use of examples (case study). Reading and Jupyter Notes are also very well done and descriptive.

par Eric N

30 avr. 2019

It don't just give you the methodology at high level, it also shows you the codes you would write for each step so you get a solid feel of how the analysis and execution happens.

par Carlos J B A

17 févr. 2019

A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.

par Francisco M

26 nov. 2019

Maybe the Data Science Methodology course it is the more important course from IBM Data Science Professional Certificate. This course will help me a lot in my professional life!

par Pablo M

6 juin 2019

This is a great introductions to the methodology that is needed for any data science project. I only wish it would give more formal definitions of the major concepts we learned.

par DINESH A Z

7 févr. 2019

This is one of the fantastic course in data science. I enjoyed a lot learning through this course. It had explained nicely, various data science methodologies with case studies.

par Andrea M

18 avr. 2020

The course is well done. In particular I really appreciated the laboratories, which I really believe help to put in practice and understand what has been taught during classes.

par Tuna M

31 mars 2019

As an engineer, i know the importance of methodology not only on data science field, but on every part of the life. This course covers every aspect of data science methodology.

par Sunday O

28 déc. 2021

The course makes clear what is expected of me as a data scientist and its more easier to now improve on the skills and tools needed to perform better in each of these stages.

par Cecilia A

2 avr. 2019

I think this should be the second course to get a Data Science's big picture of the process it involves and then get more to the especific tools such as the open source ones.

par Christine M S

6 août 2020

Videos and material are excellent! Manageable and understandable course giving good overview with practical and clearly defined steps towards solving data science problems.

par Farrukh N A

29 mai 2020

Brilliant course. But one problem that i faced was the example of American health system, it was very difficult to follow as i didnt have any experience of knowing about it.

par Sai L K

27 déc. 2019

I have not seen any other course which details the methodology in this manner. Definetely took home some very important points and will be using it in my projects as well.

par Patxi G

1 mars 2019

Really good content. It is a bit theoretical but it helps you get a clear understanding of what the different steps and actions are when working in a data science project.

par Fabio M M

20 avr. 2020

Thank you,

this course was very interesting and thoroughly explained.

The food metaphor was very helpful and really made the difference to understand it all.

Thanks, cheers!

par Jayesh M

21 janv. 2020

I learned a lot about it. As I never seen such content since I have started using and practicing the data science. So, I like the lectures And I really got something new.

par Christina Y

10 janv. 2022

This is the best course so far in the certificate (I've done 4 now). It's presented clearly, concisely, and gave me a better understanding of the data science processes.

par Sehyun P

2 mars 2021

This course is nearly PERFECT. In DS, it's really important to take step-by-step methodological approach and this course contains everything in it. Highly recommended :)