R Programming

Dev colleagues, this R Programming program will equip you in reading data, programming basics, visualization, data munging, regression, classification, clustering, modern machine learning, network analysis, web graphics, and techniques for dealing with large data, both in memory and in databases. This 20-hour video teaches you how to program in R and covers chaining commands, faster data manipulation, new ways to read rectangular data into R, testing code, and the hot package Shiny. Part 1: R as a Tool: 1)  Getting Started with R, 2) The Basic Building Blocks in R, 3)  Advanced Data Structures in R, 4) Reading Data into R, 5) Making Statistical Graphs, 6) Basics of Programming, 7) Data Munging, 8) Manipulating Strings, 9) In-Depth with dplyr, 10) Reports and Slideshows with knitr, 11) HTML Widgets in HTML Documents, 12) Shiny, 13) Package Building, and 14) Rcpp for Faster Code. Part 2: R for Statistics, Modeling, and Machine Learning addresses: 1)  Basic Statistics, 2) Linear Models, 2) Least Squares, Splines and Generalized Additive Models, Decision Trees, and Random Forests, 3) Time Series, 4) Clustering, 5) More Machine Learning, 6)  Network Analysis, 7) Automatic Parameter Tuning with Caret, and 8)  Fit a Bayesian Model with RStan. This is a very rich program indeed with many high-demand, marketable skills.

Enroll today (individuals & teams welcome): https://tinyurl.com/b96efs24 

Much career success, Lawrence E. Wilson - Online Learning Central