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Data Visualisation: Core Elements and Theories

Want to create meaningful data visualisations that fuel decision making and growth within your business? This course teaches you the basics – from individual elements and relationships through to data preparation in Tableau. You’ll learn design theories and how to identify important dashboard elements before moving onto hands-on exercises. Explore core data visualisation theories before creating beautiful dashboards Identifying the components of an effective data visualisation is the first step to creating and presenting impactful dashboards for your business. You’ll cover design considerations and theories when creating charts and presenting complex relationships using data. Learn how to import and prepare data in Tableau Tableau is used by countless industries around the world, including companies such as Experian, Siemens, Coca-Cola, and Nissan. You’ll use this market-leading software throughout this course and ExpertTrack, starting with learning to prepare your data. Build charts and interactive elements to supercharge your data visualisations Once you’ve mastered the theory and the basics, you’ll move on to building up your dashboards with common chart types and interactive elements within Tableau, offering you a variety of ways to present and review your data sets. By the end of this course, you’ll feel confident identifying useful areas of Tableau, will have a foundation in data visualisation theory, and be ready to move onto creating your dashboards and distributing them within your organisation.


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What you’ll learn


From this learning opportunity you can gain confidence with the compentencies sought by companies in 2021. The most relevant technique in the learning opportunity that is commonly included by companies is Data Modeling. The most relevant tool is Tableau. You will also hear about Communication Skills, a trait commonly mentioned in job maps.

Who will benefit?


Evaluating content from this educational opportunity with nearly 10,000 data-related job maps, we discover that those in or pursuing Data Scientist roles would benefit the most.