Course Description

Big Data Visualisation



Big Data Visualisation is a course run by Digital Skills Academy, Dublin. It is a Online Learning course with a duration of 6 weeks plus final assessment. For more information about Big Data Visualisation at Digital Skills Academy, please review the details below.

The Big Data Visualisation course enables participants to design, analyse and present data in pictorial or graphical formats. Taught by an industry expert lecturer, the course provides participants with an in-depth understanding of statistics, strategic narratives and visual design to educate, influence and engage customers.

Participants look at the future of Big Data Visualisation by understanding its history, building designs, interpreting data sets, and developing visualisation techniques with JavaScript frameworks.

This course is for participants looking to develop a range of skills to structure, design and interpret data in an effective and clear manner. This delivers strong value add for organisations that are looking to address or expand digital skills amongst the existing talent pool.

Firstly, Big Data Visualisation techniques maximise business intelligence and ensure effective strategic decision-making processes in organisations. Secondly, upskilling is a vital enabler of recognition and retention for critical staff.

 

On completion of this course, participants will have covered:

  • The history of data visualisation
  • How visual perception works
  • Visual design theory
  • Introduction to statistics
  • Different types of charts
  • The meaning of Big Data
The Big Data Visualisation course at Digital Skills Academy is listed in Courses.ie's national courses finder.
Training ProviderDigital Skills Academy
Course LocationDublin City South, Dublin
Location PostcodeDublin 8
Course TypeOnline Learning
Course Start Date15/01/2018
Course End Date23/02/2018
Course Duration6 weeks plus final assessment
For more information about Digital Skills Academy, please visit our College page on Courses.ie by clicking here.

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