This Course takes Business Practitioners on a journey of Business Analytics: using data to derive insights, make predictions, and decide on plans of action that can be communicated and actualized in a Business context.
“Business analytics, or simply analytics, is the use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about their business operations and make better, fact-based decisions. Business analytics is"a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving."
- Libertore and Luo, 2010
The Course starts with Descriptive Analytics: Datasets from various domains of Business enterprise and activity are introduced. The datasets are motivated from the point of view of the types of information they contain. Students will relate the Data Variables (Qualitative and Quantitative) to various types of Data/Information Visualizations.
Statistical Concepts such as Sampling, Hypothesis Tests, Simulation / Modelling, and Uncertainty will be introduced.
Predictive Analytics will take us into looking at Data and training standard ML algorithms to make predictions with new Data. Regression, Clustering, and Classification will be covered.
Prescriptive Analytics will deal with coming to terms with the uncertainty in Predictions, and using tools such as both ML, Linear Programming, and Decision-Making to make Business Decisions, with an assessment of the Risks involved.
The Course will culminate in a full Business Analytics Workflow using the R/RStudio/Quarto system of code + text + charts + analysis + pictures that includes Data Gathering and Cleaning, Descriptive and Predictive Analytics, Prescriptive Analytics and Decision Making, and Communication resulting in a publication-worthy documents. (HTML / PDF/ Word)
- Data Basics: What does data look like and why should we care?
- Rapidly and intuitively creating Graphs and Data Visualizations to explore data for insights
- Use Statistical Tests, Procedures, Models, and Simulations and to answer Business Questions
- Intuitive introduction ML algorithms such Regression, Classification, and Clustering to develop Business Insights
- Intuitive Introduction to Linear Programming to make Business Decisions
- Create crisp and readable Reports that can be shared in a Business Context using R/RStudio/Quarto
- Teacher: Prof. Arvind Venkatadri