Welcome to the repository for the "Business Analytics" course, EM1410, from Ca' Foscari, University of Venice. This course presents tools used in predictive and prescriptive analysis for business and society applications, with a focus on data analysis methods. The curriculum encompasses both theoretical and practical aspects of analysis methods, expanding your toolbox for forecast/prediction and decision-making.
The course introduces the concept of Business Analytics and discusses various modeling approaches. It aims to deepen your understanding of predictive and prescriptive analysis methods, emphasizing both theoretical principles and practical applications.
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Forecasting and Time Series Data Analysis
- Explore the basics of time series data analysis.
- Understand seasonality and trends, and techniques such as moving averages and exponential smoothing.
- Implementation using the
Rsoftware with a focus on reproducible research.
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- Introduce quantile regression as a powerful modeling approach.
- Understand its applications in predictive analytics.
- Practical implementation using
R, with a strong focus on reproducibility and visualization.
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Simulation and Monte Carlo Analysis
- Dive into simulation techniques for predictive analysis.
- Understand Monte Carlo analysis and its applications.
- Hands-on implementation using
R, emphasizing reproducibility and visualization.
This repository contains lecture notes, code implementations, and practical examples discussed during the "Business Analytics" course. The materials are organized by syllabus sections, facilitating a systematic approach to learning and application. Practical applications are available at the following link.
Feel free to explore, learn, and apply these Business Analytics tools to real-world scenarios. For further details and discussions, refer to the individual folders.
