Data Visualisation: From Open-Source Dashboards to Cloud-Ready Analytics (SF)
About This Course
This 5-day hands-on course empowers participants to create interactive, insightful, and production-ready data visualizations using open-source tools. Participants will explore popular Python libraries like Matplotlib, Seaborn, Plotly, and Dash, and build web-based dashboards for real-time analytics. The course also introduces deployment of dashboards to the cloud using containerization and managed services. Participants will learn best practices for designing business-focused visualizations, integrating data pipelines, and embedding visual analytics into applications. Whether deployed locally or in the cloud, learners leave with a complete visual analytics solution—from raw data to cloud-hosted dashboards.
What You'll Learn
LO2: Develop dashboards and scorecards with advanced visualization and analytics, collaborating with experts to effectively present key trends and insights.
LO3: Review data displays to ensure stakeholder questions are addressed using dashboard processes, visualization techniques, and modern tools.
Entry Requirements
• The candidate should hold a diploma and have at least 2 years of experience working in an IT-related role.
• Candidates who do not meet the above requirements will be assessed on case to case basis.