DSAI

Fundamentals of Data Wrangling, Analysis & Visualisations

Enquiry
Programme Code D120
Domain
General Digital Literary
Data Science & AI
Level
Foundation
Learning Partner(s)
Republic Polytechnic
Duration
4 Days
Format In-person
Rating
Competencies
Machine Learning Data Visualisation & Communication Visual Analytics Principles Statistical Techniques Scripting Exploration Analysis Data Storytelling Data Science Data Quality Data Collection Charts & Dashboards
Job Roles
Public Service Officer (non-ICT&SS)

Overview

This programme is delivered by Republic Polytechnic.

Harness the power of data to gain perspectives you never thought available. This programme will provide you with a good foundation to conduct data wrangling, perform data analysis, create effective visualisation charts, build interactive dashboards and compose convincing data-driven stories using Microsoft Excel and Tableau to support data-driven business decisions.

Key Takeaways

At the end of this programme, you will be able to:

  • apply data cleansing and data transformation techniques
  • apply mathematical and statistical functions for deriving insights from data
  • create PivotTables and PivotCharts to calculate, summarise, analyse, and visualise data
  • apply visualisation principles for creating effective visualisations
  • create and interpret visualisation charts
  • build interactive dashboards for monitoring key metrics
  • create data-driven stories for communicating key insights

Who Should Attend

  • Please refer to the job roles section.
  • Ideal for Public Service Officers who are interested to conduct data wrangling, perform data analysis, create visualisation charts, dashboards, and data stories using Microsoft Excel and Tableau to support data-driven business decisions.

Prerequisites

You should have basic IT literacy.

Programme Structure

This instructor-led programme is delivered both physically and virtually, and will cover the following topics:

Day 1 & Day 2 (Using MS Excel)
  • Data Collection
  • Data Wrangling
  • Data Exploration & Analysis
  • Data Mining Techniques
   
Day 3 & Day 4 (Using Tableau)
  • Data Visualisation Principles
  • Tableau 101
  • Interactive Data Visualisation
  • Interactive Dashboard
  • Data-Drive Stories

Fees

 

Full Fee

Full programme fee

S$1140

8% GST on nett programme fee

S$91.20

Total nett programme fee payable, including GST S$1231.20

With effect from 1 Jan 2023 till 31 Dec 2023

NOTE
Funding is available for this programme. Please visit the learning partner’s website to find out about the updated programme fee funding breakdown, eligibility, terms and conditions.

Upcoming Classes

Class 1
22 Jun 2023 to 27 Jun 2023 (Full Time)
Duration: 4 days
When: Jun - 22, 23, 26, 27
Time : 9.00am - 5.00pm
Class 2
17 Jul 2023 to 20 Jul 2023 (Full Time)
Duration: 4 days
When: Jul - 17, 18, 19, 20
Time : 9:00am - 5:00pm
Class 3
24 Aug 2023 to 29 Aug 2023 (Full Time)
Duration: 4 days
When: Aug - 24, 25, 28, 29
Time : 9.00am - 5.00pm
Class 4
14 Sep 2023 to 19 Sep 2023 (Full Time)
Duration: 4 days
When: Sep - 14, 15, 18, 19
Time : 9.00am - 5.00pm
Class 5
26 Oct 2023 to 31 Oct 2023 (Full Time)
Duration: 4 days
When: Oct - 26, 27, 30, 31
Time : 9.00am - 5.00pm
Class 6
16 Nov 2023 to 21 Nov 2023 (Full Time)
Duration: 4 days
When: Nov - 16, 17, 20, 21
Time : 9.00am - 5.00pm
Class 7
07 Dec 2023 to 12 Dec 2023 (Full Time)
Duration: 4 days
When: Dec - 07, 08, 11, 12
Time : 9.00am - 5.00pm
Class 8
11 Jan 2024 to 16 Jan 2024 (Full Time)
Duration: 4 days
When: Jan - 11, 12, 15, 16
Time : 9.00am - 5.00pm
Class 9
22 Feb 2024 to 27 Feb 2024 (Full Time)
Duration: 4 days
When: Feb - 22, 23, 26, 27
Time : 9.00am - 5.00pm
Class 10
11 Mar 2024 to 14 Mar 2024 (Full Time)
Duration: 4 days
When: Mar - 11, 12, 13, 14
Time : 9.00am - 5.00pm

How To Register


Agency-sponsored

Step 1 Apply through your organisation's training request system.

Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

Your organisation will send registration information to the academy.

Organisation HR L&D or equivalent staff can click here for details of the registration submission process.


Step 3 GovTech Digital Academy will inform you whether you have been successful in enrolment.