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.
by ABHIJIT S•
I am personally thankful and grateful for this opportunity .
Thanks and Warm Regards.
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by Felipe T•
This course helped me get more familiarized with structuring an efficient methodology to use data science in different scenarios. Seeing data science as an iterative process that is always subject to improvements and recognizing how the different stages relate to others helps to understand that it is a process that never ends and provides an efficient solution to specific problems.
by Damilola O•
The Data Science Methodology really opened my mind to the meticulous process of 'solutioning' as a Data Scientist. Understanding Business Case and what the business owners want, dimensioning to know the approach analytics, knowing the data set to work with and how to analyse same, and ultimately modelling and also learning from the model via feedback so as to make things better.
by Eve B•
A quite good course, I like methodology and theory behind data science. I am glad the peer review is 10%, and the quizzes total 90%. I think this helps students to have objective standards and not be dependent on anonymous peer reviews.
Just a little point at the end: The example of the US health care system does not seem to be completely useful for students of other regions.
by Guilherme P d C•
For the case study presented, specially during modeling and evaluation phases, more elaboration would make the course better. Specially during modeling evaluations and ROC.
Also the course being conducted in a recorded slides is not appealing for student engagement. Would be great to have some videos with people explaining, like in the in course 1 of this program.
by Monserrat R N•
This is a very easy to understand course, I always have trouble staying focus while studying but this course is very fast and keeps you interested in the subject, it explains the methodology very well and its easy for you to retain all the information, and its very friendly for people without english as their first language, I highly recommend it, thanks a lot!
by Jason K•
This course made me realize that people tend to jump to execution mode without even understanding what the business really want from them, and by not having a proper understanding they either produce a system that adds no value to the business, or they waste unnecessary time. The tools from this course is very helpful in any field that you are working in.
by Mark L•
While the course is brief, exploring only one methodology in depth (predictive), it is well done. I could understand the exercises well. One fix would be a quiz asked what percentage was on a previous table. I did not take the time to memorize the values in the table as I don't see how that is relevant. A better quiz question could be been formulated.
by RISHI K•
A very much intresting course along with the explaination of case study and hand on labs .
the best part is examples which is mentioned for deep understanding and clears the concepts from starting to a perfect coordination to each of the modules .
A special thanks to my Dear & Respected Alex aklson and Polong Lin Sir .
THANK U COURSERA + IBM .
by Varun V•
This is a very nice course since understanding this course has helped us in thinking deep about various stages of a Data Science project. Moreover, the author has taken a case study and used that for explanation of all the concepts which made it look more like a story rather than just boring lectures. Very helpful and nicely organized.
by Tatyana F•
It turned out that this theoretical block is quite complicated, since there are many details that must be taken into account when answering test questions. However, I am glad that I completed that course. Now I have a deep understanding of how to work with data at all stages. I thank the authors of the course for such quality content!
by Leonardo R•
This course provides the perfect explanation of what goes into the data science methodology. The course guides students through an in depth analysis of each stage with examples and labs so they can follow along. The course also uses the data science method to solve a real world problem that one may encounter in their career.
by Ankit R•
For a newbie,It is very important to understand how to solve a real world problem and for that its very important you should have knowledge of "How to approach?" and what all methods are required to achieve a statistical solution. This course helps me a lot in gaining those skills and looking ahead for other courses of IBM.
by Gideon R•
Having a structured methodology is an essential part of one's work. Nothing is more tempting than shortcuts but we always end up regretting them. The Rollins approach to data science, when properly understood, really clarifies the sequence of steps involved in achieving a result that will satisfy the organizational needs.
by Ahmed H M•
Great theoretical course for the whole process that Data Scientists go through. Explained well with case studies, however comes with a bit of intermediate python code to understand at this early stage, it forecasts what to expect next in the specialization from programming point of view, so get ready and enjoy the ride!
by Abelardo F•
This course was very useful to fully understand the ideal Methodology for Data Science. From conceiving and formulating the correct questions to thinking analytically and chose which of the data models are the best for our problem. I really feel this is a basic course for anyone who wants to Excel in Data Science!
by Jason J D•
Good course. Very important when it comes to implementing Data Science in real life. The instructor explains the life cycle and flow of the Data Science methodology along with an example scenario. Understanding and differentiating between the different phases of the methodology is much easier because of this.
by Baris E P•
Due to its approach to methodology, the course as a whole looks intimidating, but actually what it does is great way to teach a methodology, which is useful in both data science working space and academic environment. The course is quite easier than what it requires to fully understand the methodology.
by Jose J D•
Absolutely Amazing Course. Clear, providing useful plug and play methodology. One of the best courses I have taken. One suggestion is to improve the quality of Slides on the presentation, I should have to evaluate with four stars due to this, but the quality is so high that I would go with five stars.
by Mohit S•
This course will actually transits you the classroom, abstract teaching, or say for story telling to Real problems. In this course you will learn hoe to approach the problem and how one should think like a Data Scientist. Anyone who is interested to learn about Data Science must take this course.
by Pamudri B•
This course gave me the exact idea of how to develop and integrate machine learning into my thesis in medicine. As a person who is completely new to the field, I have the knowledge now to develop a problem that would match my main research interest. Thank you for this amazing course. I loved it.
by James L M•
The course is very comprehensive. I like the way explain each steps in a manner in which we could understand diagram on which the arrows are pointing. I hope they gave more examples or more practice so we could familiar each steps and the actions taken on their. All in all, the course is great!
by Sofia L•
This course has completely blew my mind. I now see how data science can be applied to everything and can help find solutions to anything! from social issues to business. I thrilled that i have gained new insights from this course that I will put in practice from now on in every day in my life!
by Mauricio E M•
What a course! totally surprised me. This course changed the way I approach any situation and problem not only in Data science but also in any day situation. You learn a methodology in order to aproach, work, analyze, structure, model and deploy your data science work. Thanks, very helpful!
by Rubén Q L•
Comprendí que la metodología CRISP-DM es fundamental para la gestión de datos en Data Science, el éxito en el campo de la ciencia de datos depende de su capacidad para aplicar las herramientas correctas, en el momento correcto, en el orden correcto, para abordar el problema correcto.