Fundamentals of Data Analytics

Data offers an invaluable range of fresh perspectives for those who can interpret them. Harness its utility with this course today!

Pick up the fundamentals of data analytics in this two-day introductory course. You will learn the basics of data analysis and how you can apply various analytical techniques to interpret data. Channel your findings towards solving real-world problems and making better decisions! 

Laptops will be provided for the duration of the course.

Learning Objectives 

By the end of the course, participants will be able to:

  • Summarise the role and tasks of an analytics professional
  • Describe the application of data analytics in the real-world
  • Distinguish the use of analytics models to solve various problems
  • Create some learning models for appreciation
  • Evaluate the benefit and challenges of employing analytics at work

Who should attend?

Data analysts, managers, professionals, executives and support staff involved in data collection, preparation and presentation for analysis and decision making.

Entry Requirement 

Suitable for all levels of experience 


Participants will be awarded the Certificate of Attendance by Republic Polytechnic upon meeting 80% of attendance requirement.

Course Date

2 - 3 Mar 2020

22 - 23 Apr 2020

18 - 19 May 2020

1 - 2 Jun 2020

30 May - 6 Jun 2020 (weekends)

Course Duration

2 days

Course Venue

Republic Polytechnic @ Woodlands
Full Course Fee (Others) Workfare Training Scheme(WTS) Singapore Citizens aged 40 & above SME-employed Singapore Citizens & SPR Singapore Citizens aged below 40 OR Singapore PR
$674.10 $44.73 $67.41 $76.23 $202.23
*SkillsFuture credit approved.
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Last updated on 16 Jan 2020

Need more help?

If you are still unsure about which course to pursue, please contact our Academy for Continuing Education.  

Fees quoted are inclusive of GST. Republic Polytechnic reserves the right to make changes to the course fees and application closing dates without prior notice. The commencement of each course is subject to a sufficient number of participants. All information is accurate at time of publishing.