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 

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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