A Data Science Central Community

Sponsored Announcement by SlideRule. Classes start January 5, 2015.

**Topics covered**

**Probability and statistics**: Probability & combinatorics, random variables & distributions, descriptive statistics, dependent & independent events, regression and inferential statistics. (16 hours)**R Basics**: Installing R and RStudio, shortcuts, common commands, syntax quirks and basic visualization with the ggplot2 package. (4 hours)**Exploratory Data Analysis**: EDA vs classical & Bayesian approaches, histograms, frequency polygons, box-plots, quartiles, scatter plots, heat maps etc. (20 hours)**Data Wrangling**: The split-apply-combine paradigm, R based tools and packages for data wrangling - reshape2, plyr, dplyr etc. (4 hours)**Analytics Techniques**: Learn how to apply analytics to real-world applications from examples including Moneyball, eHarmony, Twitter, IBM Watson, and Netflix. Linear & logistic regression, trees, clustering and text analytics. (45+ hours)**Capstone Project**: Bring it all together with the Capstone project! Pick a data set in your area of interest, tidy it up, explore & summarize it to form an intuition and then use formal methods to build a model and uncover insights! (10+ hours)

**Staff**

Data Science Lead, Trulia

Senior Data Scientist, Glassdoor

Data Scientist & Founder of R-ladies.org

Data Visualization Expert, NarrativeViz

Director of Data Science, Two Six Capital

Data Science Educator & Founder, DataSchool.io

Data Scientist - LinkedIn, Princeton

Director of Data Science, Two Six Capital

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