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: SWARNAVA B•
Really enjoyed and learning the various data science methodology, which helped me a lot to implement an write my project on Hospitalization'
교육 기관: Christian J•
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.
교육 기관: Matheus L T A•
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!
교육 기관: Pranay C•
This course is where you wet your feet for Data Science. This course teaches you the essential steps required for performing Data Analysis.
교육 기관: Alex C•
This course gives the user a framework to be able to tackle Data Science problems. Very interesting material, backed up with a case study.
교육 기관: Shubham K•
Amazingly explained with the help of labs and case studies! Hoping that the subsequent courses will be taught using the similar approach!
교육 기관: Luis M•
Very thorough introduction to IBM's data science methodology. The best training I've received on the subject of the data science process.
교육 기관: Romeo C•
This course was a great introduction to the iterative process used by data scientists to go from problem to solution. I highly enjoyed it!
교육 기관: Pedro F•
More dense, long and difficult than other introductory courses, but needed to secure the understanding of the DS Methodology. Recommended!
교육 기관: Avoaja U c•
Great course, gentle introduction to data science methodologies. And all the tools necessary to complete the course are provided for free.
교육 기관: Brahim A•
Great course! I learned much on data science methodology. Notes, texts, videos and audios were perfect. Thanks for that!
교육 기관: Ogbonnaya O•
Excellent. This clearly answers my questions on my thesis. I have been looking which methodology is suitable for data science projects
교육 기관: Nikhil J•
Perfectly explained the Data Science methodology. The stages in developing a solution to a Data-centric problem. Definitely recommended!
교육 기관: Kenneth•
Spending the time needed to fully understand the course material will greatly enhance your experience as a new beginning data scientist.
교육 기관: Hashum A•
i this course is excellent for better understanding how we understand the problem and what steps by doing this we can achieve the goals
교육 기관: Demetrius M•
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!
교육 기관: Augustin C•
Some notions could be explained a bit more in detailled - or the author should suggest the trainee to refer to applicable litterature
교육 기관: Fang S•
Data Science is an interdisciplinary field of management, business, project management, statistics, analytics, and computer science.
교육 기관: AINA A B S•
Really opens up my mind that methodology is very important and every step in the data science methodology must be well thought out.
교육 기관: José A A B•
Este es un muy buen curso introductorio a la ciencia de datos. Abarca los temas escenciales para la comprensión de una metodología.
교육 기관: Muhammad R•
A well designed course for aspiring data scientists. No prior background needed in the field which is the best thing of the course.
교육 기관: Olamide G•
I will take this course, over and over again, It really exposed me to real-life practices. Kudos to the instructors and the creator
교육 기관: Periklis K•
A great introductory course on Data Science Methodology! Well presented and structured as all the previous for that specialization!
교육 기관: Mo R•
This is a highly recommended courses to start building Data Science projects through solving real-world problems across industries.
교육 기관: Rajeshree S•
Very helpful in understanding the core steps in data science methodology. it helps you to learn how to think like a data scientist.