As you can see in my previous post I started with the Data Science Specialization on Coursera. The first course is the Data Scientist’s Toolbox.
This course is an introduction to the tools and ideas that I will see throughout the rest of the Data Science track.
The course track is focused on providing three things:
- an introduction to the key ideas behind working with data in a scientific way that will produce new and reproducible insight,
- an introduction to the tools that I will allow me to execute on a data analytic strategy, from raw data in a database to a completed report with interactive graphics,
- and on giving me plenty of hands on practice so I can learn the techniques for myself.
The course is about getting setup with the appropriate tools and accounts I will need for the rest of the track giving me a solid grounding.
I have installed the folowing software:
And set up a Github account. GitHub is a tool for collaborative code sharing and editing.
I’m creative, imaginative, free-thinking, daydreamer and strategic who needs freedom, peace and space to brainstorm and to fantasize about new and surprising solutions. Generates ideas and solves difficult problems, sees all options, judges accurately and wants to get to the bottom of things.
Interested in Data Science, Big Data, Analytics, Running, HIIT, Obstacle Running, Coffee.