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מתחיל 5 June 2026 09:51

נגמר 5 June 2026

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Visualization for Data Science - Creating Views and Dashboards

Master data visualization techniques for creating impactful views and dashboards, focusing on best practices for effective data presentation and communication in data science applications.
UofU Data Science via YouTube

UofU Data Science

6076 קורסים


1 hour 17 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Free Video

שדרוג אופציונלי זמין

סקירה כללית

Master data visualization techniques for creating impactful views and dashboards, focusing on best practices for effective data presentation and communication in data science applications.

סילבוס

  • Introduction to Data Visualization
  • Importance of data visualization in data science
    Overview of visualization tools and software
  • Principles of Effective Data Visualization
  • Understanding the audience and context
    Selecting the right charts and graphs
    Using color, labels, and annotations effectively
    Avoiding common pitfalls and biases
  • Exploring Visualization Tools
  • Introduction to popular visualization tools (e.g., Tableau, Power BI, Plotly)
    Hands-on exercises with selected tools
  • Designing Compelling Views
  • Building interactive data dashboards
    Balancing detail with simplicity
    Incorporating storytelling in data visualization
  • Advanced Visualization Techniques
  • Utilizing advanced chart types (e.g., heatmaps, treemaps, network graphs)
    Interactive and dynamic data visualizations
    Visualizing complex data sets (e.g., geospatial data, time series)
  • Best Practices for Dashboard Design
  • Dashboard layout and organization
    Optimizing for user experience and accessibility
    Case studies of effective dashboards
  • Data Ethics and Visualization
  • Ensuring accuracy and honesty in visual representations
    The impact of misleading visuals
  • Hands-On Project: Building a Data Dashboard
  • Project setup and data selection
    Step-by-step design and implementation
    Peer review and feedback session
  • Course Summary and Next Steps
  • Review of key concepts and skills learned
    Resources for further learning and exploration in data visualization
    Guidance on building a portfolio or using visualizations in professional work

נושאים

Data Science