Want to understand Data Science basics? This brief presentation covers the background behind the growth of the Data Science discipline, explains how this growth is affecting careers, gives an overview processes used, and provides a case study to illustrate the application of key principles
Presentation highlights include:
• A data scientist wears many hats and is responsible for:
o Keeping up-to-date on new theories/techniques
o Cleaning data
o Developing data hygiene processes
o Writing, debugging and rewriting code
o Sharing and presenting insights
• The goal of a data scientist is to generate a repeatable process that involves five key steps:
o Assessing data
o Extracting and cleaning data
o Choosing analytical tools
o Writing, testing and running reusable analysis code
o Identifying and building the client’s story
A helpful companion piece to this presentation: Data Science Vocabulary