At the end of the programme, participants will be able to:

• Understand the importance of data visualization in data analysis and decision-making.
• Learn about different types of data visualizations and their respective use cases.
• Explore the key principles and best practices for effective data visualization.
• Getting Started with Tableau and Power BI:
  • Install and set up Tableau and Power BI software.
  • Navigate the user interface and understand essential features and functionalities.
  • Connect various data sources to Tableau and Power BI for visualization.
• Data Preparation and Transformation:
  • Learn data preparation techniques to clean, filter, and transform raw data for visualization.
  • Understand how to handle missing data and outliers to ensure accurate representations.
  • Work with data structures such as tables, joins, and blending data from multiple sources.
• Creating Basic Visualizations:
  • Build foundational visualizations such as bar charts, line graphs, scatter plots, and pie charts.
  • Customize visual elements to enhance clarity, readability, and aesthetics.
  • Implement basic interactivity to explore data through filters, hierarchies, and parameters.
• Advanced Visualization Techniques:
  • Explore advanced chart types, including heat maps, tree maps, and geographic maps.
  • Utilize dual-axis and combination charts for more complex data representation.
  • Create dynamic and animated visualizations for time-based and dynamic data.
• Dashboard Design and Layout:
  • Design interactive dashboards to present insights effectively.
  • Structure dashboards for storytelling and conveying a coherent datadriven narrative.
  • Implement user-friendly navigation and filtering options within the dashboards.
• Data Analytics with Tableau and Power BI:
  • Integrate analytics features to perform calculations, forecasts, and trend analysis.
  • Use calculated fields and parameters to enhance data exploration capabilities.
  • Apply statistical techniques and data modeling within the visualization tools.
• Data Interactivity and Collaboration:
  • Enable user interactivity through filters, actions, and parameter controls.
  • Learn to share visualizations and dashboards with stakeholders in Tableau and Power BI.
  • Collaborate with team members by publishing, embedding, and exporting visualizations.