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Data Modelling & Visualisation

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3 hours
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Alban Advisor
  • 3 hours
  • January 21, 2025
  • Certificate of completion
Free

About Course

Data Modeling & Visualization is crucial for turning raw data into valuable insights. This course will teach you how to organize and structure data for analysis (data modeling) and how to present your findings visually using advanced visualization tools. You will gain the skills to create clear, insightful, and impactful data models and visualizations that facilitate decision-making in business and research.

What Will You Learn?

  • Understand the principles and techniques of data modeling for organizing complex datasets.
  • Learn how to design and build effective data models using ER diagrams and normalization.
  • Gain expertise in visualizing data with advanced charting techniques and tools.
  • Master how to design interactive dashboards and reports for business intelligence and decision support.

Material Includes

  • Course Slides and Lecture Notes
  • Data Modeling Templates and Tools (ER Diagrams, Database Schemas)
  • Hands-On Datasets for Practice with Data Modeling and Visualization
  • Tutorials on Data Visualization Tools (Power BI, Tableau)
  • Case Studies on Effective Data Storytelling
  • Quizzes and Assessments to Reinforce Learning

Requirements

  • Stable internet connection.
  • Laptop, desktop, tablet, or smartphone.
  • Updated browser or meeting app (e.g., Zoom, Google Meet).
  • Functional microphone and speakers/headphones.
  • Quiet and distraction-free environment.

Audience

  • Data analysts and business intelligence professionals seeking to enhance their data modeling and visualization skills.
  • Professionals working with large datasets, such as marketers, financial analysts, and project managers.
  • Students pursuing careers in data science, analytics, or business intelligence.
  • Anyone interested in learning how to use data visualization to drive informed decisions.

Course Content

Introduction to Data Modeling: Concepts and Importance

Relational Database Design and Entity-Relationship (ER) Diagrams

Data Normalization and Denormalization Techniques

Understanding Data Structures: Tables, Views, Keys, and Indexes

Introduction to Data Visualization: Best Practices and Design Principles

Advanced Data Visualization Techniques: Bar, Line, Scatter, and Heat Maps

Creating Interactive Dashboards Using Power BI and Tableau

Data Aggregation, Filtering, and Sorting for Visual Clarity

Integrating Multiple Data Sources for Advanced Visualization

Storytelling with Data: Designing Visuals that Communicate Insights

Visualizing Time-Series Data and Trends

Final Project: Designing a Data Model and Visualization for Business Insights

Instructors

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Alban Advisor

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