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 :)
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.
교육 기관: Y. D R P•
this process of data science methodology is very useful as critical thinking is needed and be discipline to the flow is necessary.
교육 기관: Wilfredo A•
Excellent course, the proposed methodology gives you an excellent framework that can be used with both simple and complex projects
교육 기관: Mena M•
Awesome explanation of the Methodology and s handsone case dealing with improving hospitals predictive ratings on their patients
교육 기관: Ilianna A•
The final assignment was very helpful & practical. I might only give the opportunity for the student to choose his/her own topic.
교육 기관: Ehsan J•
Very well explained and hands on experience, Actually challenges you and make you think about the problem you are trying to solve
교육 기관: Abdullah•
Outstanding course it is very good to learn online course by renowned organization and these type of courses also helps in career
교육 기관: Appala N•
While earning Data Science Methodology i was enjoying and able to relate to my work and this has helped me to grow in my carrier
교육 기관: Yoni M C•
This is a wonderful course. Lays out a data science methodology really well! This course is surly to help every day on the job.
교육 기관: Krit P•
It explain well with with outsource exercises. I do hope it add more use cases and more external material for helping the course
교육 기관: Nikhil B•
Great learning experience and the case studies in the Labs were very helpful in understanding each step of Rollin's Methodology.
교육 기관: Mohammad D•
I will highly recommend to this course to those students who always search for the answers about and how to clear your concept.
교육 기관: Valerie K•
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.
교육 기관: Belén F•
Very well estructured, easy to follow the organisation. I found the Labs really helpful as well to enforce the concepts learnt.
교육 기관: Olavo d s j•
Consegui melhorar minhas abilidades e conceitos e a criar methodos para area hospitalar no quesito resultado de atendimento .
교육 기관: Matthias G•
At some points it needs more explanation about what is presented. Especially in topics which are about statistical techniques.
교육 기관: Jakob L•
Very straight-forward course which brings you closer to the goal of being a data scientist and is very suitable for beginners.
교육 기관: Suguna P•
DS Methodology course module is covered in very excellent way. Easy to understand and apply the concept in different phase.
교육 기관: Ruben M•
Is a good course, the methodological approach that teach to board the Data Science Projects is very useful and practical.
교육 기관: Girish B P•
It was an awesome learning experience, theoretical knowledge is so much essential to go on the right path towards success
교육 기관: Laura C•
This is course suits anyone who do not have Data Science background, using practical examples & it is easy to understand.
교육 기관: Ngozi O•
This course really explains each stage of a data science project and also has exercises that help one better understand.
교육 기관: Agustin P S•
I worked a little in data science before without really having a structured plan. I wish I had taken this course before.
교육 기관: Izabela K•
Great course, in most courses on the internet this subject goes unmentioned but it is crucial for data science projects.
교육 기관: Nhan T N•
This course provides me absolutely fantastic insights of data science methodology. Thanks for great outline and content!
교육 기관: Jatin S•
A beautiful course on 'How a data science project is done?' with each and every step described clearly with an example.