Create a data dashboard by using the following step by step:

Step 1: Define the objectives and data requirements Determine the goals of the dashboard and identify the key performance indicators (KPIs) that need to be displayed. In this case, the president wants to analyze online course enrollment, student retention rates, tuition rates, and student satisfaction survey results.

Step 2: Collect and prepare data Gather data from relevant sources, such as student information systems, financial databases, and survey results. Ensure the data is accurate, up-to-date, and consistent. Clean and preprocess the data if necessary to make it suitable for visualization.

Step 3: Choose appropriate visualizations Select the most effective chart types for each KPI. In this case, we suggest using a line chart for online course enrollment trends, bar charts for student retention rates and tuition rates, a pie chart for student satisfaction survey results, and a table for a detailed semester-wise online course enrollment breakdown.

Step 4: Design the dashboard layout Organize the visualizations in a logical and visually appealing manner. Place the most important charts in prominent positions, use a consistent color scheme and typography, and ensure there's enough white space to avoid clutter.

Step 5: Create the visualizations and integrate data Using a data visualization tool or programming library (e.g., Tableau, Power BI, or Python's Matplotlib), create the chosen charts and visualizations. Step 6: Integrate data sources Connect the visualizations to the relevant data sources to ensure the dashboard displays accurate, up-to-date information. Configure the visualizations to update automatically when the underlying data changes.

Step 7: Add interactivity Implement interactive features such as filters, drop-down menus, or sliders to allow the user to customize the dashboard view based on their specific needs. This will enable the college president to explore the data in more detail and focus on areas of interest.

Step 8: Include tooltips and annotations Add tooltips and annotations to provide additional context and explanations for the data displayed in the visualizations. This will help users better understand the trends and patterns in the data.

Step 9: Test and refine the dashboard Review the dashboard to ensure it meets the objectives, communicates the data effectively, and is visually appealing. Test the dashboard with real users, gather feedback, and make any necessary adjustments to improve its usability and effectiveness.

Step 10: Deploy and maintain the dashboard Share the dashboard with the intended audience (e.g., the college president) and ensure they have access to the latest data. Regularly review and update the dashboard to ensure it remains relevant, accurate, and useful for decision-making.

By following these steps, you will create a data dashboard that effectively displays the key performance indicators related to online course enrollment, student retention rates, tuition rates, and student satisfaction survey results. The interactive, visually appealing, and easy-to-navigate dashboard will enable the college president to quickly analyze the data and make informed decisions about increasing enrollment through online courses.