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Beginnt 5 June 2026 22:55

Endet 5 June 2026

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Effective Data Visualization with SQL 2016

Discover effective data visualization techniques and capabilities in SQL 2016, focusing on creating impactful visual representations of your data for better business insights.
PASS Data Community Summit via YouTube

PASS Data Community Summit

6076 Kurse


59 minutes

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Free Video

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Übersicht

Discover effective data visualization techniques and capabilities in SQL 2016, focusing on creating impactful visual representations of your data for better business insights.

Lehrplan

  • Introduction to Data Visualization
  • Overview of data visualization principles
    Importance of data visualization in business insights
  • Introduction to SQL 2016
  • New features in SQL 2016 relevant to data visualization
    Basic SQL queries and data retrieval
  • Data Preparation for Visualization
  • Data cleaning and preprocessing
    Techniques for structuring data for visual presentation
  • SQL 2016 Reporting Services
  • Setting up SQL Server Reporting Services (SSRS)
    Navigating the SSRS interface
  • Creating Basic Visualizations
  • Bar and column charts
    Pie and doughnut charts
    Line and scatter plots
  • Advanced Visualizations Techniques
  • Maps and spatial data visualization
    Using KPIs and scorecards for performance tracking
    Custom visuals and extensions in SSRS
  • Integrating SQL with BI Tools
  • Connecting SQL data to Power BI
    Creating dashboards in Power BI with SQL data
  • Best Practices for Data Visualization
  • Choosing the right visualization for your data
    Avoiding common visualization pitfalls
    Enhancing visualizations with storytelling techniques
  • Real-world Applications and Case Studies
  • Practical examples of effective data visualization in various industries
    Analyzing case studies to extract actionable insights
  • Hands-on Practice and Project
  • Creating a complete data visualization project using SQL 2016
    Peer review and feedback on visualization projects
  • Course Review and Q&A
  • Recap of key concepts
    Open session for questions and clarifications

Fachgebiete

Data Science