In this grade, get an introduction to the main tools and ideas in the data scientist toolbox. The course provides an overview of the data, the questions and tools data analysts and data scientists work with.
At the end of this course, be able to identify and categorize data science problems. You will also have created your Github account, created your first repository and sent your first rebate file to your account.
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 such as version control, markdown, git, Github, R and RStudio.
Duration:
4 weeks
3-4 weekly hours
Halftime, full time: – Part time
Rate: – Join for free
Important date:
Course start date: 31 from October to 5 from December
