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 :)
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
por Daniel F•
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.
por Benjamin S•
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.
por SHUBHAM K•
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.
por Raksha S•
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.
por Zhari C•
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.
por Saurabh D•
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.
por Luis G•
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.
por Ruhul A•
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
por Badal S•
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!
por Danesh T•
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 .
por Gustave M•
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!
por Leanna W•
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.
por Roney J•
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.
por Joseph K•
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.
por Евгений Г М•
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.
por Alexandra H•
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.
por Jeff L•
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.
por Bibhu A P•
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.
por Raphael N•
This was one of the trickiest courses I have taken yet. I have had to re-read the documents and watch the presentations to get the concept clearly. I highly recommend it to anyone willing to be patient to understand the under-workings of data science.
por Juan M H T•
This is not a general overview, it's a complete scann to Data Science Methodology that allowed me to see the complete development of a Data Science project with the usage of the tools and intervention of roles previously reviewed in the past courses.
por Marat M•
Very interesting and useful course. Final project is also very useful, since it allows to apply immediately the learning skills creating a new brief data science project. I am very impressed by this course and I would like to thank the instructors!
por Louis C C I•
Its a great introduction to the data science methodology. The only thing I wish is that they go a little bit slower in the videos. They're talking about something and I'm reading the slides and then it just shifts over to a new slide fairly quick.
por Amitayu B•
Interesting course, only video-sound was a bit low. Learned the basic steps Business understanding, Analytic approach, Data requirement, Data collection, Data understanding, Data preparation, Modelling, Model evaluation, Deployment, and Feedback.
por Thomas P•
Good introduction to the methods used by data science. It was a clear walk through the different stages of the process. A good outline to keep available when tackling basic data science problems. I will print out the method and use it at work.
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.