The Data Scientist's Toolbox is an online course offered by Johns Hopkins Bloomberg School of Public Health. The course is a part of the "Date Science" specialisation. The course gives you an overview of the date, questions and tools that data analysts and data scientists work with.
About the course
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 programme like version control, markdown, git, GitHub, R, and RStudio.
Upon completion of this course you will be able to identify and classify data science problems. You will also have created your Github account, created your first repository, and pushed your first markdown file to your account.
No prior background required. Previous experience in programming is helpful.
This course consists of weekly video lectures, weekly quizzes, and a final peer-assessed project.
July 7, 2014 - August 4. 2014
For more information, click here.