13 mai 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 :)
18 juin 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!
par Matthew L•
8 sept. 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.
par Patrícia P A•
17 janv. 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.
par Ramiro B•
10 oct. 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.
par Lokesh D•
3 août 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.
par Ramya D N•
30 avr. 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
par Nita A•
12 déc. 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!
par Jurom N•
21 janv. 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.
par Daniel F•
23 avr. 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.
par Benjamin S•
25 mars 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.
par SHUBHAM K•
7 mars 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.
par Raksha S•
3 avr. 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.
par Zhari C•
6 mai 2019
I am learning so much! Glad to have the opportunity to learn at my own pace. This course is laid out beautifully. If I could change one thing it would be to have updated slides and photos of IBM Watson, not the Data Science Experience. The screens do look very different.
par Saurabh D•
29 juil. 2020
Provides an excellent understanding of various steps within Data Science project. All the videos are very good and describe the concept in a simple and easy way. I liked the analogy between cooking, recipes, ingredients and corresponding steps in a Data Science project.
par Luis G•
2 sept. 2020
This is a compact but informative course that embark the learner into the methodology to successfuly conduct a data science project based on the business requirements and outlines the tasks in each step every professional looking to get a job in this field must follow.
par Ruhul A•
27 mars 2020
Awesome, just what is need for a good and strong background for a perfect Data Science project methodology, need not be only data science this is universal in nature for all kind of business problem. Very well drafted and made topic with good list of course flow
par Badal S•
21 mai 2020
If your a beginner to the data science or analytics stream then this is the best course to understand where and how this field plays an important role in solving real-world problems that we otherwise not possible. or very complex. I really enjoyed this course!
par Danesh T•
24 avr. 2020
Wonderful Experience of exploring the data science course and in this i learned about the method and process or procedure for certain problem using the data science tools like the IBM cloud in the watson studio to enhance the experience of IBM cloud .
par Gustave M•
22 mai 2020
This course is one of the best courses I have taken so far. The breakdown of data science methodology can be used in many cases. For example, I thought about how this course would have helped even during my thesis writing work in graduate school. Well-done!
par Leanna W•
17 oct. 2018
Excellent course! The approach is easy to following and has a proven track record for solving business solutions. I highly recommend this approach for anyone that want to learn more about Data Science or for anyone interested in becoming a Data Scientist.
par Roney J•
13 sept. 2020
This course is an excellent demonstration of several actual data science application. It gives a detailed idea of life-cycle of a data science project. The case study may seem complicated at first but the labs included in the course gives you better idea.
par Joseph K•
21 mai 2020
This is the best course I have taken yet in the Data Science family of courses. John Rollins, descriptive Data Science and CRISP-DM methodologies are very useful to not only logically lay out a process but takes into consideration human behavior as well.
par Евгений Г М•
29 mars 2020
The course is useful primarily for its systematization of all approaches in data science. A step-by-step development of research is demonstrated, starting from the statement of the problem and ending with the found solution to the problem. Useful course.
par Alexandra H•
2 janv. 2021
While being familiar with the process of research methodology I did very much enjoy learning the data science terminology associated with it. The only issue I ran into with the particular module was that the instructions for the labs were out of data.
par Jeff L•
23 janv. 2020
It's really a lot of information than I expected, but it is certainly helpful for helping me to further understand data science. My only suggestion is to include more explanation to the code in the labs to make it easier to interpret for the students.
par Bibhu A P•
5 nov. 2019
The methodology was really great. Though this is somewhat a modified version of the CRSIP-DM methodology being used in Data mining. The labs were wonderfully set up to understand the topic. The case study was the most interesting aspect of the course.