May 13, 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 :)
Jun 18, 2021
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!
By Jason D•
Jul 30, 2019
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 P•
Dec 13, 2019
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•
Sep 24, 2019
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 Muhammad H N•
Nov 7, 2022
Really enjoyed the course. Before this course, even though I had become quite familiar with Data Science and the various tools, but I was still not confident enough. It was this course which comprehensively embedded the whole concept of Data Science and the end to end methodology of it in my mind.
By Tsz K K L•
May 23, 2021
Very useful course to tackle day to day workspace issues, especially if you're as a operations position. I was very inspired after taking this course and can relate to a lot of stuff that I'm working on at work. Definitely will apply this methodology and improve the process and achieve efficiency!
By Mohit S•
Jun 15, 2020
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•
Jan 13, 2021
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•
Jul 2, 2020
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•
Dec 29, 2019
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 Jarred P•
Jul 27, 2022
This was the best class that I have taken from the data science certificate so far. The videos are effective and just the right length. The case studies were really good and helped me apply concepts to the real world. I also thought the readings were really helpful and were very interactive.
By Mauricio E M•
Jun 9, 2020
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 L H•
Dec 17, 2022
Excellent, clear outline of fundamentals of DS Methodology. Very clearly presented in bite-sized chunks, building coherently upon each other. A good balance of practical work with useful intro to modelling before some will have learned the programming skills involved. Well thought out.
By Rubén Q “ H D M•
Apr 18, 2020
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.
By Matthew L•
Sep 8, 2019
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.
By Patricia P•
Jan 17, 2019
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.
By Ramiro B•
Oct 10, 2019
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.
By Lokesh D•
Aug 3, 2021
A very detailed course on how to approach a problem Data Science way. The examples provided were also were relatable and understandable. After this course, I have now gained knowledge on the Data Science methodology and was able to complete the final assignment with confidence.
By Ramya D N•
Apr 30, 2020
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
By Nita A•
Dec 12, 2019
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!
By Jurom N•
Jan 21, 2020
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.
By Daniel F•
Apr 23, 2020
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.
By Benjamin S•
Mar 25, 2020
This course is simple yet important for data scientist wannabes. It provides you with important stages of a complete project. Personally, like the effort in the extra lab material, deepening what we have learnt. To improve, I hope to get more toolkits in analytics approach.
By SHUBHAM K•
Mar 7, 2020
This course introduced me to the Data Science Methodology in a very good manner. The best part was hands-on lab experience. And the last assignment really helped me to collect all my learning and implement it. It was really a very good experience. Thanks Coursera and IBM.
By Noah F•
Jan 13, 2023
I really liked the way the instructor described subjects in the course, especially compared to previous courses in the IBM Data Science certificate. The videos gave a really good introduction to each concept and the Jupyter notebook labs helped reinforce what was taught.
By Raksha S•
Apr 3, 2020
Amazing learning experience! The course is taught with a simple analogy to cooking, and it makes learning more fun and relatable. Also, the Assignment is a great way to get a good platform to put on our thinking caps and experience the entire Methodology cycle ourselves.