LinkedIn has just revealed the top in-demand skills in 2017 for new and current employees, and unsurprisingly, hard skills are once again in demand. More than ever, employers need employees who can interpret data and develop easy-to-understand visualisations. Statistical Analysis and Data Mining remains the No.2 in-demand skill globally and No.4 in Singapore, while Data Presentation skills makes it to the No.8 spot in the global list.
Employees and future entrants into the Singapore workforce who are looking to gain these in-demand skills on an easy-to-master analytics platform do not have to look very far. Tableau is a strong supporter of data skills development for students and individuals already in the workforce, and has made available the use of its product through a range of online and on-site courses.
- Lynda.com offers a suite of essential courses for working adults who have no prior experience in data analysis and visualisation, with introductory classes to different Tableau versions and a dedicated stand-alone course to introduce users to the fun art of data visualisation. Budding data scientists will find useful ‘Tableau 10 for Data Scientists,’ which will move users beyond the basics in order to convert badly organised data into beautiful user-friendly visuals.
- Working Singaporeans with SkillsFuture credits will also be able to benefit from the Tableau experience as well. These credits can be used on Tableau introductory online courses from providers such as Coursera and Udemy, as well as at local institutions such as the National University of Singapore (NUS).
- With an increasing demand for data analytics skills in Singapore and in the region, students will be pleased to know that this is available to them for free through the Tableau Academic Programme. Students will able to make full use of Tableau Desktop to analyse their data, develop beautiful presentations and make themselves stand out of the crowd in the employment market. Teachers and instructors, too, can benefit from the use of Tableau to develop courses to teach data analysis skills.