Advanced Data Visualization
Master the art and science of presenting complex data through compelling visual narratives that inform decision-making
Program Overview
This course teaches principles of visual perception, color theory for data, and information design fundamentals. 4 Chome-22-1 Kanda Sakumacho, Chiyoda City, Tokyo 101-0025.js to create interactive dashboards and custom visualizations.
The program covers geographic mapping, network diagrams, and temporal data representation. Participants learn to choose appropriate chart types, design for different audiences, and create responsive visualizations for multiple platforms.
What You'll Master
- Visual perception principles and color theory application
- Interactive dashboard development in Tableau and Power BI
- Custom web visualizations using D3.js framework
- Data storytelling and executive presentation techniques
Professional Development Outcomes
Participants in this visualization program develop capabilities that enhance their ability to communicate data insights effectively across organizational levels.
Career Path Applications
Data Analyst Positions
Analysts enhance their ability to present findings through professional dashboards and visual reports
Business Intelligence Roles
BI professionals develop interactive tools for organizational decision support
Data Journalism
Journalists acquire skills to create compelling data stories for various media platforms
Consulting Deliverables
Consultants improve client communication through refined visual presentation methods
Tools and Methodologies
This program provides comprehensive training in leading visualization platforms and design principles used by data professionals worldwide.
Tableau Desktop
Create interactive dashboards and publish visualizations for organizational use
- • Calculated fields and parameters for interactivity
- • Dashboard design and layout optimization
- • Story points for narrative data presentation
Power BI
Build enterprise-grade business intelligence solutions with Microsoft's platform
- • DAX formulas for complex calculations
- • Data modeling and relationship management
- • Custom visuals and report distribution
D3.js Framework
Create custom web-based visualizations with JavaScript and SVG graphics
- • Data binding and DOM manipulation
- • Scales, axes, and coordinate systems
- • Transitions and animation techniques
Design Principles
Apply visual perception theory and information design fundamentals
- • Color theory and accessibility standards
- • Typography and layout composition
- • Chart type selection frameworks
Design Standards and Accessibility
Professional visualization requires adherence to accessibility guidelines and design standards that ensure information reaches all audiences effectively.
Accessibility Requirements
- Color contrast ratios meeting WCAG standards for text readability
- Alternative text descriptions for screen reader compatibility
- Colorblind-safe palettes using patterns and labels
- Keyboard navigation support for interactive elements
Professional Standards
- Accurate data representation without misleading distortions
- Clear labeling and appropriate chart type selection
- Responsive design for viewing across device types
- Documentation of data sources and methodology notes
Industry Best Practices
Participants learn established visualization conventions from data journalism, business intelligence, and scientific communication domains. The curriculum emphasizes ethical representation of information and transparent communication of uncertainty or limitations in data.
Who Should Enroll
This program suits professionals who regularly communicate data insights and seek to enhance their visual presentation capabilities.
Data Analysts
Professionals who need to present findings through dashboards and visual reports
Communications Staff
Team members responsible for creating data-driven content for stakeholders
Journalists
Media professionals covering data-driven stories and investigative topics
Consultants
Advisory professionals creating client presentations and deliverables
Business Intelligence Staff
BI professionals developing organizational reporting systems
Product Managers
Product leaders communicating metrics and user insights to teams
Learning Path and Assessment
The program structure emphasizes hands-on creation of visualizations with iterative feedback and refinement.
Visual perception principles and color theory application
Tableau and Power BI dashboard development
D3.js custom visualizations and portfolio projects
Progress Evaluation Components
Weekly Visualization Exercises
Practical assignments applying design principles to sample datasets with instructor feedback
Dashboard Development Projects
Interactive dashboard creation in Tableau and Power BI for specific business scenarios
Peer Critique Sessions
Group review of visualization designs with constructive feedback on clarity and effectiveness
Portfolio Presentation
Final collection of best work demonstrating range of visualization techniques and tool proficiency
Skill Development Indicators
Throughout the program, participants receive feedback on their developing capabilities in these key areas:
Expand Your Analytics Capabilities
Complement your visualization skills with foundational or predictive analytics training
Business Analytics Foundation
Develop core competencies in analyzing business data through statistical methods and database querying
View Course DetailsPredictive Analytics Methods
Learn to forecast future trends using statistical modeling and machine learning techniques
View Course DetailsEnhance Your Data Communication Skills
Join professionals across Tokyo mastering the art of data visualization through comprehensive hands-on training
Questions? Contact us at +81 3-3863-7822 or info@senliphour.com