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 :)
Apr 01, 2019
It just totally rebuilds my mind in thinking about how I should approach solving problems. I feel that I'm learning strong framework for an evidence-based logical approach. Just like a consultant.
par hassan u s•
Aug 14, 2019
That was great fun learning a lot of stuff regarding the Data Science Modeling. This is a perfect course to understand and come to a problem solving model for any data scientist. Really changed my perception of solving the problem.
par Sérgio L•
May 27, 2019
This course gave me a very important and useful framework, as I've been working with data analysis for more than ten years without any methodology to rely on. It is definetely necessary for whoever wants to deal with data analysis.
par Fred R•
Dec 18, 2019
A very clear and instructive introduction to the Data Science process, from business question to results, with a very pedagogic explanation of all the stages in the process and the specific problems that characterize each of them.
Jan 01, 2020
Satisfying with the materials provided but the issue is the example used in lectures. It is better to find some common examples to be understandable for all fields of studies rather than talking about patients and medical things.
par Louis J•
Sep 23, 2019
Very good! Would be interesting to go deeper and apply the whole data science methodology to a real case, write the code and detail deeply each step. I am searching exercises online to practice similar to real business scenarios.
par William B L•
Mar 13, 2019
The methodology presented is robustly presented, with detailed descriptions of each step, the relation to those steps around it, the progress made at each step, and what is handed off between steps. I would strongly recommend it
par Abilio R D•
Nov 18, 2019
Excellent course. The data science methodology learned in this course can be used to solve any problem present by one stakeholder. This course topic is the foundation for any one that would like to become a good data scientist.
par Francisco B L•
Feb 01, 2019
This is the best Course in the Data Science Specialization so far. Not only does it structure the approach to tackle probles in Data Science but the Labs also gie you a very good idea on how powerful the tools are. Great!
par Vivek k•
Jan 02, 2020
This course will help you to learn new skills like data science methodology using the various type of examples. This will help you to understand all methodology which is important in data science. I enjoyed this course.
par Alexandru F•
Jul 23, 2019
A great overview of how a data science project takes place from inception until it is put into real life usage. Bonus point for the emphasis on the iterative aspect of the work put into delivering a successful solution.
par Indrajit G•
Nov 23, 2019
The most important stage and concepts to dive in data science are clearly explained especially with the lab works which helps to understand and one must always know these to dive deep. thank you IBM-coursera platform
par Fabiyi O•
Aug 14, 2019
This is a wonderful course that opened my eyes to Data Science Methodology. It is similar to the process of Data Analysis of survey which i worked on recently. I will definitely look at ways to re-use this knowledge
par Portia T J•
Jan 08, 2020
The course is very helpful. But I think the case study of hospital add complexity to the theory. If they can just use some normal business as case study, it might be better. But otherwise, I like this course.
par Muhammad U N•
Mar 21, 2019
This course teaches you the data science methodology which is very iterative to ensure to get intended answers to your problems. And the amazing thing is that the course really simple and easy to understand.
par Yedhu K V P•
Oct 22, 2018
I got to know the overall data science methodology cycle. I also loved that I could get some practical knowledge by trying them out in Python. I absolutely recommend this to anyone who's new to Data Science.
par Shane M W•
Dec 05, 2019
This course is short, but it gives a thorough introduction to a very straightforward methodology that is easy to understand, apply, and communicate to stakeholders, but still effective. Highly recommended.
par Simran P S•
Jun 26, 2019
its a good course , you get to learn how to approach a problem and how to deal with it, what steps to take to ensure your models are working etc... would definitely recommend going through it at least once
par Desmond W K•
Nov 26, 2019
Great overview of most popular data science tools, like Jupyter notebooks and numpy a really great entry point for using machine learning, learning about server services and applying them to businesses.
par Joaquín R•
Dec 31, 2019
It is a very important course to understand the procedures and thought processes behind data science. I strongly recommend it to those who are unfamiliar with data science or reserach methodology.
par Joseph G•
Nov 30, 2019
This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).
par Aniket R•
Nov 23, 2019
It was a good course with very easy to understand material and methodology.
In my opinion additional optional reading resources or case study links is required for this to be a 5 star course.
par Israel N M•
Aug 19, 2019
This course is a great overview of the process of analyzing a data set. I feel a lot more ready for a Data Analysis job after this course than I did before. So glad I chose to take it.
par Kalyan P•
Oct 11, 2019
By this course you will be able to think like a Data Scientist. The methodologies explained in the course rebuilds my mind in thinking about how I should approach solving problems.
par Matej K•
Sep 13, 2019
Very well done course that explains all the stages of a data science project with use of examples (case study). Reading and Jupyter Notes are also very well done and descriptive.
par Eric N•
Apr 30, 2019
It don't just give you the methodology at high level, it also shows you the codes you would write for each step so you get a solid feel of how the analysis and execution happens.