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.
por 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.
por 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 .
por 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.
por 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!
por 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.
por 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.
por 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.
por 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!
por 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!
por 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.
por 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.
por 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.
por 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.
por 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.
por 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!
por 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!
por 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!
por 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.
por Matthew L•
This course was very helpful in putting the whole concept of data science methodology together. As someone currently working in data science, I found the methodology excellent, as it clearly laid out the conceptual reasons for how and why to successfully complete data science projects.
por Patrícia P A•
Maravilhoso! Quem trabalha com análises e/ou relatórios já tem uma ideia dos passos, mas ainda assim é válido porque estrutura conhecimento, entra mais a fundo nas etapas e traz muitas informações interessantes. Pra quem não trabalha pode conhecer como fazer uma análise desde o início.
por Ramiro B•
I think this is an amazing coruse, because it gives you the skill for organizing the entire data science process as an organized sequence of strategic stages which are coherent between themselves and together give a way to transform a problem to a real solution in a step-by-step way.
por Ramya D N•
Its really a nice course. If you want to become a data scientist you first understand the basic things. and this course will definitely help you to understand that. Take this course and understand how to approach a business problem and solve it in an efficient manner. Thank you
por Nita A•
Was a fun and interesting course. Got to learn about all the stages of the Data Science Methodology from problem question to be answered to modeling to evaluation to deployment to feedback. Enjoyed the case study, labs, and final assignment. Can't wait to start the next course!
por Jurom N•
The course on Data Science Methodology was sufficient enough to understand this lesson given its examples, scenarios, explanation in each methodology stage, etc. The expectations of learning were also clear and personally, my memory retention is high after taking each course.
por Daniel F•
Quite good, detailed but clear. The Jupyter notebooks provided are excellent and make me want to learn Python because it is a powerful tool for turning data understanding into workable data. The case study is helpful for context. The assignment really requires you to think.