Advanced Certificate in Decision Making with R

• Advanced Statistical Analysis with R – This unit covers the application of various statistical methods and techniques using R programming to support data-driven decision making. • Data Visualization and Exploratory Data Analysis with R – This unit focuses on using R to visualize and explore data, enabling learners to identify trends, patterns, and relationships that can inform decision making. • Predictive Modeling with R – This unit teaches learners how to build predictive models using R, enabling them to make accurate predictions and informed decisions based on historical data. • Machine Learning Algorithms in R – This unit covers the application of machine learning algorithms in R, including supervised and unsupervised learning techniques, to support decision making. • Time Series Analysis with R – This unit teaches learners how to analyze time series data using R, enabling them to make informed decisions based on historical trends and patterns. • Simulation and Optimization with R – This unit covers the use of simulation and optimization techniques in R to support decision making, including linear and integer programming methods. • Risk Analysis and Management with R – This unit teaches learners how to use R for risk analysis and management, enabling them to make informed decisions in the face of uncertainty. • Decision Trees and Random Forests with R – This unit covers the use of decision trees and random forests in R to support decision making, enabling learners to classify and regress data effectively. • Advanced Topics in Decision Making with R – This unit covers advanced topics in decision making with R, including Bayesian methods, neural networks, and natural language processing.