Data Visualization With Power Bi/tableau: Craft Interactive Dashboards For Insight

Introduction:

Transform raw data into compelling stories with interactive dashboards. This course on Data Visualization with Power BI/Tableau equips participants with the specialized knowledge and skills to create insightful visualizations. Participants will learn how to connect to data sources, build interactive dashboards, and communicate data-driven insights effectively. This course bridges the gap between raw data and actionable intelligence, empowering professionals to make informed decisions through visual storytelling.

Target Audience:

This course is designed for professionals seeking to enhance their data visualization skills, including:

• Data Analysts
• Business Analysts
• Report Developers
• Marketing Professionals
• Project Managers
• Anyone who needs to present data effectively

Course Objectives:

Upon completion of this Data Visualization with Power BI/Tableau course, participants will be able to:

• Understand the principles of effective data visualization.
• Connect to various data sources using Power BI or Tableau.
• Create interactive dashboards and reports.
• Utilize various chart types and visualization techniques.
• Implement data filtering and drill-down functionalities.
• Design visually appealing and informative dashboards.
• Understand data storytelling and communication.
• Implement data formatting and customization.
• Understand data blending and relationships.
• Deploy and share dashboards with stakeholders.
• Enhance their ability to create compelling data visualizations.
• Improve their organization's data-driven decision-making.
• Contribute to improved data communication and reporting.
• Stay up-to-date with the latest trends and best practices in data visualization.
• Become a more knowledgeable and effective data visualization professional.
• Understand ethical considerations in data visualization.
• Learn how to use Power BI or Tableau effectively for data storytelling.

DURATION

10 Days

COURSE CONTENT

Module 1: Introduction to Data Visualization and Dashboarding

• Understanding the importance of data visualization.
• Principles of effective data visualization and dashboard design.
• Introduction to Power BI/Tableau interfaces and functionalities.
• Connecting to basic data sources (Excel, CSV).
• Understanding the data visualization workflow.

Module 2: Data Connection and Preparation

• Connecting to various data sources (databases, cloud services, APIs).
• Data import and data cleaning techniques.
• Data transformation and shaping.
• Understanding data types and relationships.
• Data profiling and quality checks.

Module 3: Basic Chart Types and Visualizations

• Creating bar charts, line charts, and pie charts.
• Understanding when to use different chart types.
• Implementing basic data filtering and sorting.
• Formatting and customizing charts.
• Understanding chart best practices.

Module 4: Advanced Chart Types and Visualizations

• Creating scatter plots, maps, and treemaps.
• Implementing advanced chart customizations.
• Utilizing calculated fields and parameters.
• Understanding geographical data visualization.
• Creating interactive visualizations.

Module 5: Interactive Dashboard Design Principles

• Understanding dashboard layout and design.
• Implementing interactive elements (filters, slicers, actions).
• Creating drill-down and drill-through functionalities.
• Designing for different screen sizes and devices.
• Understanding user experience (UX) in dashboard design.

Module 6: Data Storytelling and Communication

• Understanding the principles of data storytelling.
• Creating compelling narratives with data visualizations.
• Using annotations and text to highlight key insights.
• Presenting data effectively to different audiences.
• Understanding the impact of color and design on data communication.

Module 7: Calculated Fields and Data Transformations

• Creating calculated fields for data analysis.
• Implementing complex data transformations and aggregations.
• Utilizing functions and expressions.
• Understanding table calculations and window functions.
• Implementing custom data calculations.

Module 8: Data Blending and Relationships

• Understanding data blending and relationships.
• Connecting to multiple data sources.
• Implementing data joins and unions.
• Resolving data blending issues.
• Understanding data modeling for visualization.

Module 9: Advanced Filtering and Parameterization

• Implementing advanced filtering techniques.
• Utilizing parameters for dynamic visualizations.
• Implementing user-driven data exploration.
• Creating interactive filters and controls.
• Understanding parameter actions.

Module 10: Mapping and Geographical Visualizations

• Creating interactive maps and geographical visualizations.
• Utilizing geographical data and spatial analysis.
• Implementing custom map layers and markers.
• Understanding geospatial data formats and projections.
• Creating heat maps and choropleth maps.

Module 11: Time Series Analysis and Forecasting

• Understanding time series data and analysis.
• Creating time series charts and visualizations.
• Implementing trend lines and forecasting.
• Utilizing date functions and time-based calculations.
• Understanding seasonality and moving averages.

Module 12: Deployment and Sharing Dashboards

• Publishing dashboards to cloud platforms (Power BI Service, Tableau Server/Online).
• Sharing dashboards with stakeholders and users.
• Implementing security and access controls.
• Scheduling data refreshes and updates.
• Embedding dashboards in websites and applications.

Module 13: Performance Optimization and Troubleshooting

• Understanding performance optimization techniques.
• Identifying and resolving performance bottlenecks.
• Optimizing data connections and queries.
• Utilizing performance monitoring tools.
• Troubleshooting common dashboard issues.

Module 14: Advanced Analytics and Integration

• Integrating with advanced analytics tools (R, Python).
• Utilizing AI and machine learning features.
• Implementing custom extensions and plugins.
• Understanding data governance and compliance.
• Utilizing APIs for data integration.

Module 15: Best Practices and Future Trends

• Understanding best practices for data visualization and dashboarding.
• Exploring emerging trends in data visualization.
• Implementing accessibility and usability standards.
• Developing a data-driven culture.
• Continuous learning and professional development in data visualization.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.