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 Sai L K•
I have not seen any other course which details the methodology in this manner. Definetely took home some very important points and will be using it in my projects as well.
par Patxi G•
Really good content. It is a bit theoretical but it helps you get a clear understanding of what the different steps and actions are when working in a data science project.
par Fabio M M•
this course was very interesting and thoroughly explained.
The food metaphor was very helpful and really made the difference to understand it all.
par Jayesh M•
I learned a lot about it. As I never seen such content since I have started using and practicing the data science. So, I like the lectures And I really got something new.
par Christina Y•
This is the best course so far in the certificate (I've done 4 now). It's presented clearly, concisely, and gave me a better understanding of the data science processes.
par Sehyun P•
This course is nearly PERFECT. In DS, it's really important to take step-by-step methodological approach and this course contains everything in it. Highly recommended :)
par Colette C•
I loved this class! What really helped was having a hypothetical case study to demonstrate how the data science methodology is applied. I also really enjoyed the labs!
par Alberto P C•
Very structured outlook on how to tackle a data science project. The case study was very helpful and definitely contributed to clarify concepts presented in each stage.
par John S•
This is the most vital course in learning to think as a data scientist. I will never forget this course, It is the core system of what data scientists do! Great course!
par RICHARD D•
Very interesting and easy to understand Course than any other course here. Thanks to Coursera for making us part of the IBM Family. I am proud to be part of this Family
par Mya S•
This was a very good introductory course. I have been a data scientist for years now and self-trained. This was a great way to have the approach for what I do codified.
par Manthan M S•
The material is greatly informative and clearly explained. I'd some trouble understanding the case study. A simpler one would be really entertained and helpful. Thanks.
par Ana O•
Very Practical. The methodology presented can be immediately applied in many situations (even not related to data science). Everything well explained and exemplified.
par Жовтобрюх Д А•
This course explained how to deal with the process of dealing with data science problems and determined the questions which i must answer to succed in solving problem
par Aman T•
Nice course I highly recommend everyone to take this course as this course will teach you what are the steps that we need to take in order to solve business problem.
par osho t•
its an amazing course to understand the flow and structure of being a data scientist. you'll love going through this course and would definitely learn a lot from it.
Simple and accurate description of the Methodology behind Data Science, and more importantly the exercises are created to implement this learning in a precise manner
par Sudhanshu M•
Great course, would be even more useful if additional reading materials were given. It requires a lot of self research and reading to understand the concepts best !
par Naveen K•
The content covered on this module is sufficient for a beginner to get and idea of what Data Science Methodology is and how to implement it in real world scenarios.
par Varun S•
Completely helps you understand the methodology employed by John Rollins (IBM), takes the help of a case study to show you how one can practically apply the same.
par Anvar N•
Even though I was not familiar with most of the Python code in this course (which is covered in other courses), it provided a great insight into the methodology.
par Carlos A C G•
Course content is complete and to the point, the explanations and examples given are enough to expose the concept and then you can explore further on each topic.
par Sema K•
Great course! I really appreciate all the information shared. It would be even more amazing if we exmained some data analysis reports provided by some companies.
par Mathew A•
The methodology presented in this course for Data Science is very good logical step-by-step approach from understanding the problem to modeling and feedback.
par Daniel W•
This course is pretty short, yet it really well summarizes the key aspects of Data Scientist's work. Furthermore, the last exercise is pretty well and demanding.