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

4.6
étoiles
17,129 évaluations
2,089 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 :)

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!

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276 - 300 sur 2,090 Avis pour Data Science Methodology

par Matheus L T A

13 févr. 2019

Great course, with a lot of content! This methodology can actually be applied on most problems you will find in life and help to solve them!

par Lebogang K M

8 févr. 2021

This course was really easy to understand and it summed up the process quite neatly. Could use an extra assignment though. Take the course!

par Pranay C

26 mai 2019

This course is where you wet your feet for Data Science. This course teaches you the essential steps required for performing Data Analysis.

par Alex C

30 sept. 2020

This course gives the user a framework to be able to tackle Data Science problems. Very interesting material, backed up with a case study.

par Shubham K

30 avr. 2020

Amazingly explained with the help of labs and case studies! Hoping that the subsequent courses will be taught using the similar approach!

par Luis M

13 déc. 2019

Very thorough introduction to IBM's data science methodology. The best training I've received on the subject of the data science process.

par Romeo C

8 nov. 2019

This course was a great introduction to the iterative process used by data scientists to go from problem to solution. I highly enjoyed it!

par Pedro F

11 août 2019

More dense, long and difficult than other introductory courses, but needed to secure the understanding of the DS Methodology. Recommended!

par Avoaja U c

14 déc. 2018

Great course, gentle introduction to data science methodologies. And all the tools necessary to complete the course are provided for free.

par X Z

6 sept. 2021

even if you have some basic knowledge about statistics, from my opionion, it is still meaningful to get some understanding of methodology

par Brahim A

16 mars 2019

Great course! I learned much on data science methodology. Notes, texts, videos and audios were perfect. Thanks for that!

Regards.

Brahim A.

par Ogbonnaya O

17 juil. 2020

Excellent. This clearly answers my questions on my thesis. I have been looking which methodology is suitable for data science projects

par Nikhil J

30 mars 2020

Perfectly explained the Data Science methodology. The stages in developing a solution to a Data-centric problem. Definitely recommended!

par Kenneth W

27 mai 2019

Spending the time needed to fully understand the course material will greatly enhance your experience as a new beginning data scientist.

par Hashum A

17 mars 2020

i this course is excellent for better understanding how we understand the problem and what steps by doing this we can achieve the goals

par Demetrius M

14 mars 2019

This course is amazing for understanding how to execute a Data Science project! I learned a lot and can't wait to apply the knowledge!

par Augustin C

27 août 2019

Some notions could be explained a bit more in detailled - or the author should suggest the trainee to refer to applicable litterature

par Fang S

25 oct. 2019

Data Science is an interdisciplinary field of management, business, project management, statistics, analytics, and computer science.

par AINA A B S

11 mai 2020

Really opens up my mind that methodology is very important and every step in the data science methodology must be well thought out.

par José A A B

23 avr. 2020

Este es un muy buen curso introductorio a la ciencia de datos. Abarca los temas escenciales para la comprensión de una metodología.

par Muhammad R

23 avr. 2020

A well designed course for aspiring data scientists. No prior background needed in the field which is the best thing of the course.

par Olamide G

6 mars 2020

I will take this course, over and over again, It really exposed me to real-life practices. Kudos to the instructors and the creator

par Periklis K

9 déc. 2019

A great introductory course on Data Science Methodology! Well presented and structured as all the previous for that specialization!

par Mo R

28 oct. 2019

This is a highly recommended courses to start building Data Science projects through solving real-world problems across industries.

par Rajeshree S

14 janv. 2019

Very helpful in understanding the core steps in data science methodology. it helps you to learn how to think like a data scientist.