In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
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Habilidades que obtendrás
Universidad Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
- 5 stars69,45 %
- 4 stars23,26 %
- 3 stars5,28 %
- 2 stars1,08 %
- 1 star0,91 %
Principales reseñas sobre LA CAJA DE HERRAMIENTAS DEL CIENTÍFICO DE DATOS
This course spoon-fed me as a beginner, which was great. The quizzes were well-done because they brought to light any weakness or gaps in my understanding so I could go back and review the processes.
The course is great for beginners, especially with a focus on the fundamentals of data science and RStudio. It provides a great introduction to Git and Github, which makes it extremely informative.
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
Great course for a beginner. But, since I knew most of the content from previous works, there was not much new learning for me. I am confident the later courses will enhance my knowledge a great deal.
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