"You Too Can Be Sexy!: Integrating R with WebFOCUS for Descriptive and Predictive Statistics"
Here is a sample synopsis:
"Experts call data analysis the sexiest job of the 21st century. In this era of Big Data, a command of statistics and analytic tools correlates with job security and high income. Yet within five years, the U.S. may struggle with over a million unfilled jobs needing deep analytic skills.
Here is your chance to augment your WebFOCUS know-how with the open-source R language, which is seeing a dramatic increase in job demand. Doug Lautzenheiser will cover industry trends, using R for descriptive and predictive statistics, integration with WebFOCUS, and resources to help you build R skills."
"In 1992, Doug Lautzenheiser first started presenting at Information Builders annual users' group conferences with his 'How to Get Your Maserati out of the Traffic Jam.' Over two decades later, Doug still loves to use catchy titles."
Here is an outline example to go with my "Be Sexy" theme:
- Big Data
- Predictive Analytics
The R product
- Downloading and installing
- Basics of the language
- Reading in data
- Summarizing the data
- Source command for running scripts
- Packages from Comprehensive R Archive Network (CRAN)
Descriptive Statistics and R
- Terms (Population, Sample, Observation, Variable, Dataset)
- Measures of Center: Mean, Median, Mode
- Measures of Spread: Range, Interquartile Range (IQR), Variance, Standard Deviation
- Distribution, P value, Confidence Interval
- Measures of Shape: Skewness (positive or negative), Kurtosis (mesokurtic, platykurtic, leptokurtic)
- Bar graph, Scatter plot, Boxplot, Histogram
- Central Limit Theorem
- Tests of Association: Correlation, Regression
- Tests of Inference: Chi-Square, t-test (independent samples, correlated samples), Analysis of Variance
Predictive Statistics and R
- The statistical and analytical techniques used to develop models that predict future events or behaviors
- Linear regression, Logistics regression, decision trees
Integration with WebFOCUS
- Using RStat
- Using Dialogue Manager
- Classes (e.g., Coursera)
- Books (e.g., "Learning R" from O'Reilly)