Data Wrangling, Analysis and Visualisation

Programme Code D34
General Digital Literacy
Data Science & AI
Learning Partner(s)
Singapore Polytechnic
3 Days
Format Online
Scripting Data Storytelling Charts & Dashboards Visual Analytics Principles Machine Learning Statistical Techniques Exploration Analysis Data Quality Data Collection Data Management & Analytics Data Visualisation & Communication Data Exploration & Analysis
Job Roles
Quantitative Analyst Public Service Officer (non-ICT&SS) ICT&SS Professional Digital Service Manager Digital Business Analyst Data Engineer


This programme is delivered by Singapore Polytechnic.

Data wrangling, analysis and visualisation are critical skills that are necessary in the handling the challenges in a variety of modern-day data-driven businesses. In today's era of big data where the computer and network are everywhere and business process may be translated to data, data manipulation and visualisation skills are much needed to make insightful decisions. Knowledge in data analysis and visualisation provides one with the necessary skills that form the basis for deeper quantitative reasoning needed for data and predictive analytics work. Data may be in abundance; however, making it comprehensible and meaningful to stakeholders require a data driven skillsets.

This programme enables the skills to turn raw datasets into interactive and dynamic visualisations and dashboards providing the platform to draw insights for decision making.

Key Takeaways

This programme aims to equip you with the skills to clean data, perform simple analysis and create useful and interactive visualisations and dashboards for presentation and recommendations to stakeholders. You will learn how to achieve this using Excel and Tableau software.

By the end of the programme, you will be able to:

  • prepare, clean, format and manage data using Excel for analysis
  • summarise and represent data meaningfully using excel for further analysis and decision making
  • prepare and manipulate data for visualisation using Tableau
  • visualise data using Tableau basics
  • apply advanced visualisation using charting capabilities in Tableau
  • build Interactive Dashboards using Tableau

Who Should Attend

Please refer to the job roles section.


Basic communication skills in the English language. Experience in working with data would be an advantage

Programme Structure

This programme is delivered via instructor-led virtual mode and will cover the following topics:

Part 1: Collecting and Managing Business Data

  • Getting external data from various sources (CSV files, text files, database files, web data, etc.)
  • Preparing and cleaning data using text manipulation (trimming spaces, extracting parts of the cell to create a new column, replacing values etc.)
  • Extracting data with essential formulae/functions
  • Formatting and conditional formatting
  • Tapping into real data from the internet for business analysis
  • Data format required for analysis

Part 2: Understanding your Data

Data Calculations and Management

  • Using functions and formulae for calculations and data preparations
  • Exploring data using AutoFilter and Excel tables
  • Summarising and analysing worksheet data using PivotTables
  • Visualising summary report using PivotCharts

Decision making using What-If Analysis

  • Using Goal Seek to find desired output
  • Building Data Tables for sensitivity analysis
  • Using Scenario Manager for reporting different scenarios

Part 3: Prep your Data with Tableau Prep

Tableau Prep Introduction

  • Tableau Prep Interface and Options
  • Tableau Prep Cleaning Options
  • Reading multiple sheets and files
  • Data aggregation
  • Workflow and joining files
  • Pivot data with Tableau Prep

Part 4: Visualising your Data

Tableau Basics

  • Visual Analytics Principles
  • Intro to Tableau software
  • Basic data import
  • Basic chartsBasic sorting
  • Basic filtering and paging
  • Using ShowMe
  • Basic Dashboarding
  • Tableau Story Design

Advanced Tableau Charting

  • Geographical maps
  • Histograms, scatter plots, box plots
  • Calculated fields
  • Clustering using Tableau
  • Sharing charts and dashboards

Interactive Dashboarding

  • Action filters
  • KPIs and Parameter controls
  • Groups and Sets



Full Fee

Full course fee


8% GST on nett course fee


Total nett course fee payable, including GST S$702

With effect from 1 Jan 2023 till 31 Dec 2023

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

Upcoming Classes

Class 1
13 Dec 2023 to 15 Dec 2023 (Full Time)
Duration: 3 days
When: Dec - 13, 14, 15
Time : 9:00 AM to 5:00 PM
Class 2
10 Jan 2024 to 12 Jan 2024 (Full Time)
Duration: 3 days
When: Jan - 10, 11, 12
Time : 9:00 AM to 5:00 PM
Class 3
21 Feb 2024 to 23 Feb 2024 (Full Time)
Duration: 3 days
Time : 9:00 AM to 5:00 PM
Class 4
20 Mar 2024 to 22 Mar 2024 (Full Time)
Duration: 3 days
When: Mar - 20, 21, 22
Time : 9:00 AM to 5:00 PM

How To Register


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 or equivalent staff can register directly through the learning partner's registration portal here.

Step 3 The learning provider will inform you whether you have been successful in enrolment.