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 Abilio R D•
18 nov. 2019
Excellent course. The data science methodology learned in this course can be used to solve any problem present by one stakeholder. This course topic is the foundation for any one that would like to become a good data scientist.
par Dai V•
31 juil. 2021
I think this course is really useful for me since I can have an overview of the Data Science Methodology. Also, I can gather and apply my knowledge in this course in a specific case (which includes in the Peer-Assignment).
par Francisco B L•
1 févr. 2019
This is the best Course in the Data Science Specialization so far. Not only does it structure the approach to tackle probles in Data Science but the Labs also gie you a very good idea on how powerful the tools are. Great!
par Vivek k•
2 janv. 2020
This course will help you to learn new skills like data science methodology using the various type of examples. This will help you to understand all methodology which is important in data science. I enjoyed this course.
par Alexandru F•
23 juil. 2019
A great overview of how a data science project takes place from inception until it is put into real life usage. Bonus point for the emphasis on the iterative aspect of the work put into delivering a successful solution.
par Truong G•
24 févr. 2020
Great case study and detail knowledge of methodology to understand business and problem, methods of data requirements, collection, preparation and so on. However, some tiny issue with the lab work such as delay output.
par indrajit g•
23 nov. 2019
The most important stage and concepts to dive in data science are clearly explained especially with the lab works which helps to understand and one must always know these to dive deep. thank you IBM-coursera platform
par belachkar a•
28 mai 2020
A very good course to get the Data Science Methodology:
Business Understanding, Analytic Approach, Data Requirements, Data Collection, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, Feedback.
par Fabiyi O•
14 août 2019
This is a wonderful course that opened my eyes to Data Science Methodology. It is similar to the process of Data Analysis of survey which i worked on recently. I will definitely look at ways to re-use this knowledge
par Fabian T J H•
13 août 2021
Had a basic understanding of what data science is but going through this course, it solidifies my understanding on what are the steps taken in a data science project and I realise how important each step is.
par Maarten d G•
27 août 2020
This course comprehensively explains the data science project cycle. yet remains crisp at all times. The final assignment demands direct application of the learnings from the course and reflects it very well.
par Sagarika S•
14 juin 2020
Amazing course! This course taught me many things and how we can solve any problems related to any industries using data science. Thank you to all the instructors for providing this course in a amazing way...
par Portia T J•
8 janv. 2020
The course is very helpful. But I think the case study of hospital add complexity to the theory. If they can just use some normal business as case study, it might be better. But otherwise, I like this course.
par Muhammad U N•
20 mars 2019
This course teaches you the data science methodology which is very iterative to ensure to get intended answers to your problems. And the amazing thing is that the course really simple and easy to understand.
par Yedhu K V P•
22 oct. 2018
I got to know the overall data science methodology cycle. I also loved that I could get some practical knowledge by trying them out in Python. I absolutely recommend this to anyone who's new to Data Science.
par Carl-Michael E•
26 févr. 2021
This is the best course so far in the IBM Data Science Professional Certificate program.
The content was well structured, the videos were clear, and the use of the case study helped to demonstrate each step.
par elmer e•
13 juil. 2020
Well recommended course to take to fully understand the basic framework on what a data scientist should apply as appropriate methodology in answering a business problem by harnessing the insights in a data.
par Bill S•
9 févr. 2020
Course gives a better understanding of the data science field and it's tools. It breaks down the methodology followed and how all the pieces come together to get you on your way to becoming a data scientist
par Timothy-Ray H•
28 août 2020
This is a very important course for the beginning Data Scientist. It helped me to understand the importance of developing the question and selecting, testing, and integrating the correct data for analysis.
par Shane W•
5 déc. 2019
This course is short, but it gives a thorough introduction to a very straightforward methodology that is easy to understand, apply, and communicate to stakeholders, but still effective. Highly recommended.
par Simran P S•
25 juin 2019
its a good course , you get to learn how to approach a problem and how to deal with it, what steps to take to ensure your models are working etc... would definitely recommend going through it at least once
par Ramón S A•
25 août 2020
A good course, in my opinion fundamental to step forward in Data Science projects, only one consideration, I thinkk it would be better to put in 2nd place of the degree , before of Tools for Data Science.
par Diego M E C•
20 juil. 2020
Very well explained, easy to digest and really paints the picture of a data scientist various activities and contributions within a project. I highly recommend this course, no previous knowledge needed.
par william k•
26 nov. 2019
Great overview of most popular data science tools, like Jupyter notebooks and numpy a really great entry point for using machine learning, learning about server services and applying them to businesses.
par Sorath A•
21 mai 2020
This course clearly describes the iterative process of Data Science Methodology which is mandatory for a Data Scientist. The course material was easy to follow and the final assignment was interesting.