This course is part of the Data Visualisation ExpertTrack
Data Visualisation: Data Visualisation with Tableau Fundamentals
Learn the fundamentals of data visualisation – from core components to interactive elements.
Duration
4 weeksWeekly study
4 hours100% online
How it worksIncluded in an ExpertTrack
Course 1 of 3
Data Visualisation: Data Visualisation with Tableau Fundamentals
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 on to 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, you’ll have a foundation in data visualisation theory, and you’ll be ready to move onto creating your dashboards and distributing them within your organisation.
What topics will you cover?
- Introduction to data visualisation
- Designing charts and visualising complex relationships
- Introduction to using Tableau for data visualisation
- Charts and interactive visualisations in Tableau
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Identify components of an effective visualisation
- Recognise the design considerations when creating charts and visualising complex relationships
- Articulate how to import and prepare data in Tableau
- Identify common chart types and interactive elements in Tableau
Who is the course for?
This course is for professionals who wish to build their data visualisation skills to successfully meet the demands of their roles or to progress into new opportunities.
This may include:
- business professionals looking to progress in their current role
- career starters wanting to develop their data visualisation capabilities to increase their chances of meaningful career progression and promotion
- business or arts graduates who want to enter a professional role by adding quantitative skills, including data visualisation techniques and predictive modeling.
What software or tools do you need?
During the course we’ll be using Tableau Public and Excel. If you don’t have Excel, you might find this online version useful.
We recommend you use a computer to access this course.
Who will you learn with?
Alastair has over 15 years of experience in data science, across business and academia as a researcher, speaker, mentor, consultant and software engineer.
Who developed the course?
FutureLearn
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