DSAI

Data Wrangling, Analysis and Visualisation

Enquiry
Programme Code D34
Domain
General Digital Literacy
Data Science & AI
Level
Foundation
Learning Partner(s)
Singapore Polytechnic
Duration
3 Days
Format In-person
Rating
Competencies
Scripting Data Storytelling Charts & Dashboards Machine Learning Statistical Techniques Exploration Analysis Data Quality Data Collection Data Management & Analytics
Job Roles
Quantitative Analyst Public Service Officer (non-ICT&SS) ICT&SS Professional Digital Service Manager Digital Business Analyst Data Engineer

Overview

Acquire critical data wrangling, analysis, and visualisation skills essential to overcome 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. 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.

Key Takeaways

At the end of this 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.

Prerequisites

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

Fees


Full Fee

Full programme fee

S$650

9% GST on nett programme fee

S$58.50

Total nett programme fee payable, including GSTS$708.50

With effect from 1 Jan 2024

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
17 Apr 2024 to 19 Apr 2024 (Full Time)
Duration: 3 days
When: Apr - 17, 18, 19
Time : 9:00 AM to 5:00 PM
Class 2
15 May 2024 to 17 May 2024 (Full Time)
Duration: 3 days
When: May - 15, 16, 17
Time : 9:00 AM to 5:00 PM
Class 3
19 Jun 2024 to 21 Jun 2024 (Full Time)
Duration: 3 days
When: Jun - 19, 20, 21
Time : 9:00 AM to 5:00 PM
Class 4
17 Jul 2024 to 19 Jul 2024 (Full Time)
Duration: 3 days
When: Jul - 17, 18, 19
Time : 9:00 AM to 5:00 PM
Class 5
14 Aug 2024 to 16 Aug 2024 (Full Time)
Duration: 3 days
When: Aug - 14, 15, 16
Time : 9:00 AM to 5:00 PM
Class 6
18 Sep 2024 to 20 Sep 2024 (Full Time)
Duration: 3 days
When: Sep - 18, 19, 20
Time : 9:00 AM to 5:00 PM
Class 7
06 Nov 2024 to 08 Nov 2024 (Full Time)
Duration: 3 days
When: Nov - 06, 07, 08
Time : 9:00 AM to 5:00 PM
Class 8
04 Dec 2024 to 06 Dec 2024 (Full Time)
Duration: 3 days
When:
Time : 9:00 AM to 5:00 PM
Class 9
12 Feb 2025 to 14 Feb 2025 (Full Time)
Duration: 3 days
When:
Time : 9:00 AM to 5:00 PM
Class 10
12 Mar 2025 to 14 Mar 2025 (Full Time)
Duration: 3 days
When: Mar - 12, 13, 14
Time : 9:00 AM to 5:00 PM

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 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.