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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

Who takes this course

Students and Academics

Anyone Interested in Data Visualisation 

Course content
21 lectures • 02h 18m
  • Lecture 1: Intro
    02:56 min
  • Lecture 2: Why Data Visualisation
    02:25 min
  • Lecture 3: How to install tableau
    02:09 min
  • Lecture 4: Case study
    02:45 min
  • Lecture 5: Import data to tableau
    04:51 min
  • Lecture 6: Types of visualisations in tableau
    01:29 min
  • Lecture 7: From numbers to visualisation
    01:16 min
  • Lecture 8: Trend overtime
    09:54 min
  • Lecture 9: More visualisations
    09:35 min
  • Lecture 10: Ethics in data visualisation
    04:10 min
  • Lecture 11: Visual Perception
    05:03 min
  • Lecture 12: Pre attentive attributes
    04:01 min
  • Lecture 13: Ask you a question
    03:29 min
  • Lecture 14: Outliers
    09:44 min
  • Lecture 15: More than one variable chart
    09:23 min
  • Lecture 16: Working with geographic data
    09:05 min
  • Lecture 17: Creating a dashboard
    27:35 min
  • Lecture 18: Best practice for dashboard
    09:03 min
  • Lecture 19: How to tell a story with data
    02:00 min
  • Lecture 20: Creating interactive story
    15:44 min
  • Lecture 21: Conclusion
    02:09 min

Meet your instructor

Ibrahim Sherif

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