What is Data Science?
Unfortunately there is little consensus on how to define Data Science so we will approach it as follows:

Some techniques/concepts we will learn include:

Some statistical tools we will learn include:

The class will be taught using:
 Pencil and paper style activities to focus on concept, not software or tool set.
 Excel. Easy to learn, fullfeatured. We will use it for numerical analysis and simple graphing.
 R Studio (and R). Very powerful statistical software package. The standard program for most data analysts. We will use it for more sophisticated or taxing analysis and producing better/more detailed plots.
 Google Fusion tables. Allows for heat maps of data and network graphs.
MAIN COURSE SEQUENCE
 Start with Unit Sequence for 1st half
 Mix of pen and paper activities and Excel
 Slowly ramp up Excel knowledge (Formulas, Pivot tables, etc.)
 Slowly introduce R
 Side unit with Fusion tables
 Mix of pen and paper activities and Excel
 Project with Excel
 Project with Fusion tables
 Heat maps
 Network graphs
 Heat maps
 Project with R
 Students design and carry out own project for PBA
 Find data
 Clean data
 EDA
 Pose questions/analysis ideas
 Run analysis
 Visualizations
 Presentation and writeup
 Find data