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!
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 :)
por Ankit T•
It is a great course in understanding the concepts of how data scientist starts with a business problem and transform that into a solution using data. It takes you through the journey from the problem until the solution and how you go about it.
por Anh D•
The course is really good which makes me have a new vision about Data Science, especially the part of Ungraded External Tools. Although there are a few bit of confusing concepts, I have learned so much from the course. Thank you, instructors
por Sabra H•
its good to know about methodology before going deep to a better ideal, i think this course should be after next courses, because practical labs was hard, if there was practical lab that we can do it all by myself, it will be more awesome.
por Miguel V•
This course was actually extremely useful in understanding the mindset of a data scientist. As someone in academia, there has always been an inherent disjunction between scholastic and business methodology. This course bridges that gap. :D
por Aastha M•
This is a very informative course on how the data science methodology process is carried forward when a real problem is encountered. Each phase has been taught with good relatable examples which simplifies the learning process. Thank you!
por Amy P•
Very thorough, thanks to excellent narration that had just the right enough repetition. Helpful use of diagrams to reiterate concepts. The Jupyter notebook labs were a fantastic way to illustrate the stages of data science methodology.
por Isis S C•
Fantástico! Curso super eficiente, traz rápida assimilação da abordagem de Data Science, introduzindo, simultaneamente, Jupyter Notebooks: exmplo e na prática. Os exercícios peer reviewed criam uma deliciosa oportunidade de interação.
por Jafed E G•
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
por Asresh K•
An amazing course which teaches you the path to choose in order to solve data related business problems. The approaches mentioned in this course are very logical and awesome and can be used to solve most of the data science problems.
por Ferenc F P•
This course is excellent, as it helps you understand the way of working, how you should carry out a data science project, and how your final report should look like. This course will help you in making a good report for the Capstone.
por hassan s•
That was great fun learning a lot of stuff regarding the Data Science Modeling. This is a perfect course to understand and come to a problem solving model for any data scientist. Really changed my perception of solving the problem.
por Sérgio L•
This course gave me a very important and useful framework, as I've been working with data analysis for more than ten years without any methodology to rely on. It is definetely necessary for whoever wants to deal with data analysis.
por Lucas F M•
Very nice review of the steps needed to develop a project in Data Science. It may not be too much of a surprise for people who have a background in Science, but it still well put together and interesting. Nice case study included.
por Kwadwo A•
My first time ever using Coursera. I feel justice was done to the topic. It was very detailed ad enjoyed each day i reviewed the resources on this topic. Thank you for such a platform. Looking forward to completing future courses.
por Fred R•
A very clear and instructive introduction to the Data Science process, from business question to results, with a very pedagogic explanation of all the stages in the process and the specific problems that characterize each of them.
por Zabihullah B•
Satisfying with the materials provided but the issue is the example used in lectures. It is better to find some common examples to be understandable for all fields of studies rather than talking about patients and medical things.
por Louis J•
Very good! Would be interesting to go deeper and apply the whole data science methodology to a real case, write the code and detail deeply each step. I am searching exercises online to practice similar to real business scenarios.
por William B L•
The methodology presented is robustly presented, with detailed descriptions of each step, the relation to those steps around it, the progress made at each step, and what is handed off between steps. I would strongly recommend it
por Abilio R D•
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.
por Dai V•
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).
por Francisco B L•
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!
por Vivek k•
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.
por Alexandru F•
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.
por Truong G•
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.
por indrajit g•
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