Executive Development Programme in Data-Driven Recreation Program Decisions

• Data Analysis for Recreation Program Decisions: This unit will cover the fundamentals of data analysis, with a focus on how it can be applied to recreation program decision-making. Students will learn how to gather, clean, and analyze data to inform program decisions. They will also learn how to interpret and communicate data insights to stakeholders. • Data Visualization: This unit will cover the basics of data visualization, including how to create effective charts, graphs, and other visualizations. Students will learn how to use visualizations to communicate complex data insights to a variety of audiences. • Predictive Analytics: This unit will cover the principles of predictive analytics, including how to build statistical models to predict future outcomes. Students will learn how to apply predictive analytics to recreation program decision-making, including how to use data to forecast demand, optimize pricing, and allocate resources. • Program Evaluation: This unit will cover the basics of program evaluation, including how to design and implement evaluation studies. Students will learn how to use data to assess program effectiveness, identify areas for improvement, and make data-driven decisions about program development and implementation. • Data Management: This unit will cover the fundamentals of data management, including how to store, organize, and secure data. Students will learn how to ensure data quality, protect data privacy, and manage data access and sharing. • Data Ethics: This unit will cover the ethical considerations of data-driven decision-making, including issues related to data privacy, bias, and transparency. Students will learn how to make ethical decisions about data collection, analysis, and use. • Data-Driven Recreation Program Marketing: This unit will cover how to use data to inform recreation program marketing efforts. Students will learn how to use data to target marketing efforts, measure marketing effectiveness, and optimize marketing strategies. • Data Integration: This unit will cover the challenges and opportunities of integrating data from multiple sources. Students will learn how to combine data from disparate sources to gain a more complete understanding of recreation program performance and impact. • Data-Driven Organizational Leadership: This unit will cover how to use data to inform organizational decision-making and leadership. Students will learn how to use data to set strategic goals, allocate resources, and evaluate performance.