DP
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This course covers the end to end cycle suggested framework that can be useful not only in Data Science but also in other Research Projects that manage information to create and deploy a solution.
JR
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It is a very important course to understand the procedures and thought processes behind data science. I strongly recommend it to those who are unfamiliar with data science or reserach methodology.
By Swarnava B : R N E ( V T
•Nov 23, 2019
Really enjoyed and learning the various data science methodology, which helped me a lot to implement an write my project on Hospitalization'
By Christian M J
•Jun 24, 2019
I imagine this to be the foundation of any data science problem, and will probably be knowledge used for the rest of my data science career.
By Matheus L T A
•Feb 13, 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!
By Hashika S
•Aug 4, 2024
This is a well-organized another course from IBM. They explain everything related to this subject and it is very easy-to-understand terms.
By Lebogang M
•Feb 8, 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!
By Pranay C
•May 26, 2019
This course is where you wet your feet for Data Science. This course teaches you the essential steps required for performing Data Analysis.
By Alex C
•Sep 30, 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.
By Shubham K
•Apr 30, 2020
Amazingly explained with the help of labs and case studies! Hoping that the subsequent courses will be taught using the similar approach!
By Luis M
•Dec 13, 2019
Very thorough introduction to IBM's data science methodology. The best training I've received on the subject of the data science process.
By Romeo C
•Nov 8, 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!
By Pedro F
•Aug 11, 2019
More dense, long and difficult than other introductory courses, but needed to secure the understanding of the DS Methodology. Recommended!
By Avoaja U c
•Dec 14, 2018
Great course, gentle introduction to data science methodologies. And all the tools necessary to complete the course are provided for free.
By X Z
•Sep 6, 2021
even if you have some basic knowledge about statistics, from my opionion, it is still meaningful to get some understanding of methodology
By Brahim A
•Mar 16, 2019
Great course! I learned much on data science methodology. Notes, texts, videos and audios were perfect. Thanks for that!
Regards.
Brahim A.
By Ogbonnaya O
•Jul 17, 2020
Excellent. This clearly answers my questions on my thesis. I have been looking which methodology is suitable for data science projects
By Nikhil J
•Mar 30, 2020
Perfectly explained the Data Science methodology. The stages in developing a solution to a Data-centric problem. Definitely recommended!
By Kenneth W
•May 27, 2019
Spending the time needed to fully understand the course material will greatly enhance your experience as a new beginning data scientist.
By Eduardo N d S S
•Jun 28, 2022
The course is didactic, very well explained. But, I presented doubts in Python programming. I hope to resolve them as soon as possible.
By Hashum A
•Mar 17, 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
By Demetrius M
•Mar 14, 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!
By Augustin C
•Aug 27, 2019
Some notions could be explained a bit more in detailled - or the author should suggest the trainee to refer to applicable litterature
By Nagaraj V
•Dec 31, 2023
This course gives an excellent overview of Data Science Methodology. Each step of Data Science methodology is explained very clearly
By Hafiz H
•Sep 26, 2023
some questions need to be check back. some area wrong and sometime in mobile apps, ut gave some error symbol rataher than "<" or ">"
By Fang S
•Oct 25, 2019
Data Science is an interdisciplinary field of management, business, project management, statistics, analytics, and computer science.
By Aina A
•May 11, 2020
Really opens up my mind that methodology is very important and every step in the data science methodology must be well thought out.