Data Analysis

Tableau

1. Foundational Understanding: The course establishes a solid foundation by emphasising the importance of data visualisation, guiding participants through the installation process of Tableau, and illustrating the practical application of concepts through a compelling case study.

2. Hands-On Data Manipulation: Participants gain hands-on experience in importing and manipulating data within Tableau, exploring diverse visualisation types and transforming raw numerical data into meaningful visualisations.

3. Advanced Techniques: cover advanced visualisation techniques, including trend analysis, outlier detection, and handling multiple variables.

 
4. Ethical Considerations:, the course underscores the responsibility associated with presenting data visually


5.Storytelling and Interactivity: The course concludes by empowering participants to tell compelling stories with their data through effective dashboard design and interactive storytelling techniques

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Who takes this course

Students and Academics

Anyone Interested in Data Visualisation 

Course content

21 Lectures • 2 hours 18 minutes
  • Lecture 1: Intro
    2 minutes 56 seconds
  • Lecture 2: Why Data Visualisation
    2 minutes 25 seconds
  • Lecture 3: How to install tableau
    2 minutes 9 seconds
  • Lecture 4: Case study
    2 minutes 45 seconds
  • Lecture 5: Import data to tableau
    4 minutes 51 seconds
  • Lecture 6: Types of visualisations in tableau
    1 minute 29 seconds
  • Lecture 7: From numbers to visualisation
    1 minute 16 seconds
  • Lecture 8: Trend overtime
    9 minutes 54 seconds
  • Lecture 9: More visualisations
    9 minutes 35 seconds
  • Lecture 10: Ethics in data visualisation
    4 minutes 10 seconds
  • Lecture 11: Visual Perception
    5 minutes 3 seconds
  • Lecture 12: Pre attentive attributes
    4 minutes 1 second
  • Lecture 13: Ask you a question
    3 minutes 29 seconds
  • Lecture 14: Outliers
    9 minutes 44 seconds
  • Lecture 15: More than one variable chart
    9 minutes 23 seconds
  • Lecture 16: Working with geographic data
    9 minutes 5 seconds
  • Lecture 17: Creating a dashboard
    27 minutes 35 seconds
  • Lecture 18: Best practice for dashboard
    9 minutes 3 seconds
  • Lecture 19: How to tell a story with data
    2 minutes
  • Lecture 20: Creating interactive story
    15 minutes 44 seconds
  • Lecture 21: Conclusion
    2 minutes 9 seconds

Meet your instructor

Ibrahim Sherif

Ibrahim Sherif

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