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!
16 août 2021
Thank you very much for someone in the forum who can answer some simple questions. I have learned more skills of using Python and Jupyter Notebook in this course, which will benefit me a lot. In the future, I plan to learn more about programming, mathematics, probability theory, statistics and the art of communicating with people, and STRIVE to become a data scientist
par Guilherme P d C•
6 mai 2019
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.
par Monserrat R•
23 juil. 2020
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!
par Jason K•
21 mai 2019
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.
par Mark L•
27 janv. 2019
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.
par Alpesh G•
20 juin 2021
It helps me in understanding the CRISP-DM, importance of Business & Data Understanding, iterative process from Feedback, Modeling, Refinement and Redeployment. The analogy with cooking task made it easier to grasp the concept. 'Top-down' and 'Bottom-up' approach to data science also explained very well. Thank you IBM and Coursera for this course.
par Deleted A•
6 août 2020
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 .
par Varun V•
11 nov. 2018
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.
par Darshan K•
21 juin 2022
That's very systematic learning!! There is one suggestion from my side. There should be a more common example or case study to use to understand the whole methodology than hospital case studey. Other than this the course is excellent and full of knowledge with adequate pace. Thank you Coursera and IBM team for such a valuable content.
par Tatyana F•
22 avr. 2020
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!
par Reza J•
6 déc. 2021
A great course before starting data science real projects. It is important to have a road map in every project where you create paths based on your goals and this course helps you out to do so. Also, the examples that this course use are simple but they are pretty close to real-world projects and helps understanding them a lot.
par Leonardo R•
10 juil. 2019
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.
par Ankit R•
26 avr. 2020
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.
par Gideon R•
3 nov. 2018
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.
par Dharmil D•
2 avr. 2022
A Wll Designed Course for beginners to Learn about data science methodology before applying Programming Skills however there is a suggetion from my side about Data Modelling stage as i am not a Statastics Student and don't know about what are the types of data Modelling so kindly Provide classifiction of Data Modelling.
par Ahmed H M•
21 mai 2020
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!
par Abelardo F•
2 janv. 2021
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!
par Jason J D•
30 juil. 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.
par Barış P•
13 déc. 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.
par Jose J D•
24 sept. 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.
par Tsz K K L•
23 mai 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!
par Mohit S•
15 juin 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.
par Pamudri B•
13 janv. 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.
par James L M•
2 juil. 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!
par Sofia L•
29 déc. 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!