SIT Learn
SIT Learn

Overview

Data, the ‘fuel’ of the digital era, is one of the core assets in every organisation. Leading-edge companies in all industries are using analytics to help them make more accurate decisions. Managers collect and analyse these enormous data sets to identify past trends, unveil new patterns and get insights to make sense of Big Data.

This 2-day workshop is suitable for professionals who have a basic understanding of Data Analytics. The workshop will equip participants with the knowledge and management of structured and unstructured data, design principles for data visualisation and enable them to experience hands-on practice on the visual analytics tool, Tableau. 
 

Speakers / Trainers

What You’ll Learn

Data Analytics in Practice
  • To master contemporary business analytics tools
Database Management Systems
  • To handle and manipulate multiple data sets and data cleansing
Essential Design Principles for Data Visualisation
  • To grasp the concept of appropriate visual representation and to distinguish between effective and ineffective visuals
Overview of Data Analytics
  • To acquire a general understanding and overview of data analytics knowledge in business

Who Should Attend

  • Business Professionals who are interested in data analytics.
  • Professionals who wish to leverage on data analytics tools to champion data-driven decision making in their organisation.
  • Prior knowledge of Tableau software will be useful in order to gain the most out of the workshop.
 

SITizens Learning Credits (SLC) - Eligible Course

SIT Alumni: Before registering for courses, please activate your SITizens Learning Credits via the email sent by SIT Alumni Team, on behalf of SITLEARN Professional Development.

CLICK HERE TO APPLY (only for SIT Alumni)
Registration closes on 07/11/19
 

Certificate and Assessment

A Certificate of Participation will be issued to participants who:
  • Attend at least 75% of the workshop
  • Undertake non-credit bearing assessment (during course)

Schedule

Day 1
 
Time Topic
8:30 am Registration and Introduction
9:00 am Defining Data Analytics Approach
10:00 am Teabreak and Networking
10:30 am Defining Data Analytics Approach
12:30 pm Lunch
1:30 pm Database Management Systems
3:00 pm Tea Break
3:30 pm Database Management Systems
5:30 pm End of Day 1

Day 2
 
Time Topic
8:30 am Registration and Recap
9:00 am Essential Design Principles for Data Visualisation
10:00 am Teabreak and Networking
10:30 am Essential Design Principles for Data Visualisation
12:30 pm Lunch and Networking
1:30 pm Visual Analytics in Practice (Tableau)
3:00 pm Tea Break
3:30 pm Visual Analytics in Practice (Tableau)
5:00 pm Assessment, Q&A, Summary
5:30 pm End of Day 2

Fees

Category Full Fee After SF Funding After SF Mid-Career
Enhanced Subsidy
Singapore Citizen (Below 40) / Singapore PR $1,284.00 $385.20 Not Eligible
Singapore Citizen (40 & above) $1,284.00 $385.20 $145.20
Non-Singaporeans $1,284.00 Not Eligible Not Eligible

Note:
  • All figures include GST. GST applies to individuals and Singapore-registered companies.
  • You can opt for either SF Series Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.

» Learn more about funding types available

Terms & Conditions for SkillsFuture Funding

In order to be eligible for the 70% training grant awarded by SkillsFuture, applicants (and/or their sponsoring organisations where applicable) must:
  1.  Be a Singaporean Citizen or Singapore Permanent Resident
  2.  Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SkillsFuture Mid-Career Enhanced Subsidy

To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
  1.  Be a Singaporean Citizen
  2.  Be at least 40 years old
  3.  Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.

SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.

Key Info

Venue SIT@Dover, 10 Dover Drive S138683
Time 08:30 AM to 05:30 PM
Date 28 Nov 2019 (Thu) to
29 Nov 2019 (Fri)
Registration is Closed.

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