Duration: 5 days
Format: On-site/Online via Teams
Audience: This course is designed for individuals with limited technical skills who seek to transition into more technical roles and gain hands-on experience in building effective dashboards.
Overview: This comprehensive course covers both fundamental and advanced data visualization techniques, providing in-depth training in storytelling, visualization principles, and Power BI. The program is designed to equip your team with practical skills and real-world applications.
In today’s data-driven world, the ability to transform complex data into clear, actionable insights is crucial for business success. At Agilytic, we understand that effective data visualization can significantly enhance decision-making, streamline operations, and serve as a foundational step for broader data utilization within your organization. Our Data Visualization Course is tailored for businesses aiming to equip their employees with the skills to analyze, interpret, and present data in a compelling way. By empowering your team with advanced data visualization techniques, you enable them to uncover hidden patterns, communicate insights more effectively, and support strategic initiatives with data-backed evidence.
Module 1 (Half Day): Basics of Storytelling
- What is storytelling and why is it important?
- Elements of a narrative applied to presentations
- Types of narratives: explanatory, exploratory, descriptive, and persuasive
- Adapting a narrative arc to your audience
- Best practices in data storytelling: knowing your audience, choosing the right data, finding the key message, and using a clear structure (e.g., Minto Pyramid Principle)
Module 2 (Half Day): Basics of Data Visualization (Non-Technical)
- Different types of data visualizations: tables, charts, maps, and diagrams
- How to choose the right type of chart
- Factors affecting readability and effectiveness of a visualization
- Principles of data visualization: clarity, accuracy, simplicity, and aesthetics
- Common pitfalls and errors in data visualization: misleading scales, distorted axes, cluttered charts, and inappropriate colors.
Module 3 (2 Days): Introduction to Power BI
- Introduction to the Power BI environment and its components
- Connecting to source databases, importing, and refreshing data
- Data modelling
- Building calculation formulas using DAX (Data Analysis Expressions)
- Creating and formatting reports/dashboards
- Developing various types of charts, eliminating clutter, and using colors effectively
- Utilizing Power BI tools such as filters, drill down, and interactive visualizations
- Publishing and sharing dashboards
- Theoretical concepts and best practices based on field experience
- Practical exercises to validate understanding
Module 4 (1 Day): Practice and Feedback
- Participants present practical use cases to be developed with expert support
- Review of points covered in previous modules
- Building a simple dashboard to meet the proposed use case needs
- Practical experience to identify and resolve challenges with expert guidance
- Participants provide and receive feedback using peer review, expert review, and user testing methods to identify strengths and weaknesses of visualizations
Module 5 (1 Day): Advanced Application and Refinement
- Participants propose more complex cases or improvements for existing dashboards
- Prior sharing of needs with the expert for optimal guidance preparation
- Expert guidance on best practices to achieve objectives concretely and pragmatically