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 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!
par 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!
par Lebogang K M•
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•
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•
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•
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•
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•
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•
More dense, long and difficult than other introductory courses, but needed to secure the understanding of the DS Methodology. Recommended!
par Avoaja U c•
Great course, gentle introduction to data science methodologies. And all the tools necessary to complete the course are provided for free.
par X Z•
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•
Great course! I learned much on data science methodology. Notes, texts, videos and audios were perfect. Thanks for that!
par Ogbonnaya O•
Excellent. This clearly answers my questions on my thesis. I have been looking which methodology is suitable for data science projects
par Nikhil J•
Perfectly explained the Data Science methodology. The stages in developing a solution to a Data-centric problem. Definitely recommended!
par Kenneth W•
Spending the time needed to fully understand the course material will greatly enhance your experience as a new beginning data scientist.
par 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
par 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!
par Augustin C•
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•
Data Science is an interdisciplinary field of management, business, project management, statistics, analytics, and computer science.
par 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.
par 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.
par 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.
par 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
par Periklis K•
A great introductory course on Data Science Methodology! Well presented and structured as all the previous for that specialization!
par Mo R•
This is a highly recommended courses to start building Data Science projects through solving real-world problems across industries.
par 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.