1. Platforms and Technical Tools for Data Science

Topics, Class Notes and Code		Assignments and Side Readings
Course logistics, policies and project guideline document: [PDF] Software and Platforms Computing: R/Rstudio and SAS Studio Viz: R graphic libraries & Tableau Public Repository and collaboration: GitHub Free web server: RPubs Tech writing and reporting: Markdown and LaTex: [Intro to RMarkdown] Data Science - A Big Picture Class Note 1: What is data science? [PPT] Supplemental Note: [HTML] [PDF] [RMD] Data science is still in high demand: the U.S. Bureau of Labor Statistics. Data Science Ethics: [ASA: Ethical Guidelines for Statistical Practice]		Installation R and RStudio If you have not used R for 6 months, please install the newer version. Tableau Public MikTex Accounts Creation SAS Studio [via SAS Cloud] Tableau Public GitHub RPubs More on Markdown Basic Markdown Syntax Math Equation in Markdown [HTML] [PDF] No written assignment for this week.