Data Wrangling, Analysis and Visualisation (Synchronised e-learning)

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Data Wrangling, Analysis and Visualisation (Synchronised e-learning)

Overview

Course Date:
19 Jun 2024 to 21 Jun 2024
Registration Period:
19 Apr 2024 to 21 May 2024
Duration/Frequency:
Wed to Fri / 9 am to 6 pm
Mode of Training:
SynchronousELearning
Venue:
Singapore Polytechnic
Funding:
-

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 provide one with the necessary skills that form the basis for deeper quantitative reasoning needed for data and predictive analytics work.

Course Objective

Data may be in abundance; however, making it comprehensible and meaningful to stakeholders require a data driven skillsets.

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

Course Outline

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

By the end of the course, participants 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

Topics to be covered

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 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

Minimum Requirements

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

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Completion (electronic Certificate will be issued)
A Certificate of Completion will be awarded to participants who pass the assessment and meet at least 75% attendance rate

Suitable for

Data Analyst, Business and Quantitative Analysts

Course Fees

The course fees payable above are inclusive of 9% GST rate.

Applicants/Eligibility	SkillsFuture Funding	GST	Subsidised Fee (after GST)
Singapore Citizens aged 40 and above	$585.00	$17.55	$82.55
Singapore Citizens aged below 40	$455.00	$17.55	$212.55
Singapore Permanent Residents and LTVP+ Holders	$455.00	$17.55	$212.55
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders	$585.00	$17.55	$82.55
Others (Full fees payable)	$0.00	$58.50	$708.50

Application Procedure

1. For self-sponsored applicant, please click on the “Register” button to apply for the course. You will be directed to STEP portal to manage all your course activities. Please note that you will be prompted to sign in with Singpass/Student ID.

2. For company-sponsored applicant, please approach your company's Human Resource (HR) team to put in the application through the company portal using CorpPass. You may only apply after receiving the registration link from your company's HR.

3. Your application does not guarantee acceptance into the course. Your acceptance into the course is dependent on meeting the course requirements and course vacancy.

4. All successful applicants will be notified with a letter of confirmation via email.

6. PACE Academy course schedules, including course trainer, course fees and course availability are subject to change.

7. PACE Academy reserves the right to cancel or postpone any course at short notice; & at its absolute discretion without assigning any reason for such cancellation/postponements. In the event that the applicant’s chosen course is cancelled prior to its commencement, PACE Academy will make a full refund of course fees already paid by the applicant.

8. The data provided to Singapore Polytechnic will be kept strictly confidential and will be used for the purpose of course administration. The data may be passed on to the relevant organisations that require the information related to the course.