May 14, 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 :)
Feb 27, 2020
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
par Nikhil B•
Sep 20, 2018
Great learning experience and the case studies in the Labs were very helpful in understanding each step of Rollin's Methodology.
par Mohammad D•
May 11, 2020
I will highly recommend to this course to those students who always search for the answers about and how to clear your concept.
par Valerie K•
Apr 29, 2020
This class taught me how to use data within the decision making process and how to apply the data as a solution to the problem.
par Belén F•
Oct 16, 2019
Very well estructured, easy to follow the organisation. I found the Labs really helpful as well to enforce the concepts learnt.
par Olavo d s j•
Jun 19, 2020
Consegui melhorar minhas abilidades e conceitos e a criar methodos para area hospitalar no quesito resultado de atendimento .
par Matthias G•
May 12, 2020
At some points it needs more explanation about what is presented. Especially in topics which are about statistical techniques.
par Jakob L•
May 01, 2020
Very straight-forward course which brings you closer to the goal of being a data scientist and is very suitable for beginners.
par Suguna P•
Jun 30, 2019
DS Methodology course module is covered in very excellent way. Easy to understand and apply the concept in different phase.
par Ruben M•
Mar 23, 2020
Is a good course, the methodological approach that teach to board the Data Science Projects is very useful and practical.
par Girish B P•
Jul 30, 2019
It was an awesome learning experience, theoretical knowledge is so much essential to go on the right path towards success
par Laura C•
Jun 18, 2019
This is course suits anyone who do not have Data Science background, using practical examples & it is easy to understand.
par Ngozi O•
Jul 06, 2020
This course really explains each stage of a data science project and also has exercises that help one better understand.
par Agustin P S•
Jan 19, 2020
I worked a little in data science before without really having a structured plan. I wish I had taken this course before.
par Izabela K•
Aug 16, 2019
Great course, in most courses on the internet this subject goes unmentioned but it is crucial for data science projects.
par Nhan T N•
Feb 26, 2019
This course provides me absolutely fantastic insights of data science methodology. Thanks for great outline and content!
par Jatin S•
Jun 24, 2020
A beautiful course on 'How a data science project is done?' with each and every step described clearly with an example.
par Muhamma S•
Mar 08, 2020
Great course and practical labs , really enjoy , after completing this course you can able to think like data scientist
par Michael S•
Mar 08, 2020
Great content with an easy-to-follow case study providing some reference. I just wish the subtitles were more accurate.
par Jacob S•
Sep 23, 2018
This course is very useful to gain a better understanding of the foundation method used by experienced data scientists.
par Brannon C•
May 15, 2020
Helpful. The case study used in this course really helps visualize how to apply each step in the data science process.
par Jyoti H•
Jan 20, 2020
It was great learning. Concepts are covered from very basic. Assignments are related to the topic and worth doing it.
par Jorge A C C•
Dec 07, 2019
Muy interesante y util, definitivamente recomendado para comprender mejor la metodologia asociada a ciencia de datos.
par Katta V S C•
Sep 26, 2019
I really loved the parallel case studies this course uses to help with understanding iterative data science.
par anita p s•
Sep 16, 2019
As those want to enter in data scientist field must do this course. Its nicely explain concept.
Thanks for the course.
par Juan D P•
Jun 13, 2019
This is a great course in which we learn all the steps, one-by-one, to face a problem using data science methodology.