Tech Talk: R Programming

“R is becoming the lingua franca of data science“- Revolution Analytics.

Data has become more complex as technology improves. Companies now have millions of gigabytes of data on everything from user preferences to energy consumption and they more than ever need skilled people who can analyze and extract valuable patterns from the data. With R, analyzing complex data could not get any more easier. R has powerful graphical capabilities that allows you to generate high quality graphics such as bar charts, histograms, scatter plots, trees, dynamic graphs, mathematical symbols and even brand new graphics of your own devising, often with very few lines of code.

Who Should Attend:

Data analysts, data scientists, academic scientists and researchers, statisticians and also for those who are new to programming.

What You Will Learn:

The goal of a scientific analysis is finding relations between variables.

Descriptive Statistics

1. to describe data in a concise, understandable way and summary indicators of larger groups of data using
   • Measures of Central Tendency
   • Measures of Variability
   • Graphing Data
   • Measures of Relative Position

Inferential Statistics

1. to help with the decision making process of generalizing from sample to population with,
   • Pearson’s r (Correlation Coefficient)
   • t-test
   • Analysis of Variance (ANOVA)
   • Chi-Square (χ2)

Meet Your Speaker:

TARUN SUKHANI