Introduction to Quantitative Data Analysis and Visualization

Course Date:
TBA

Registration Period:
TBA

Duration:
16 hours / 2 day

Time:
9:00am to 6:00pm, Monday and Tuesday

Mode of Training:
Facilitated Learning (F2F)

Venue:
Singapore Polytechnic


Course Introduction

Data handling, analysis and visualization are critical skills that are necessary in managing the challenges in a variety of modern-day data-driven businesses. In today's era of big data where the computers and networks are everywhere and business processes may be translated to data, this means that data manipulation, analysis and visualization skills are much needed to make insightful decisions. Knowledge in data analysis and visualization provides one with the necessary skills that form the basis for deeper quantitative reasoning needed for data and predictive analytics work.


Course Objective

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


Course Outline

Course Learning Outcomes
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
• Carry out essential statistical analysis and inference on data meaningfully using excel
• Prepare and manipulate data for visualization using Power BI
• Visualize data using Power BI

Topics to be covered

Part 1: Handling Your Data
Collecting and Managing Business Data
• Getting external data from various sources
• Preparing data using text manipulation
• Extracting data with Essential Formulae/Functions
• Formatting and conditional formatting
• Tapping into real data from Internet for business analysis

Building Dashboard using Pivot Tables and Pivot Charts
• Understanding and use of Excel tables
• Creating Pivot Tables to analyse worksheet data
• Creating dashboards using Pivot Charts for visual presentation
• Adding Slicers and Timelines for interactive display
• Introducing multi-table Pivot Tables and data model

Decision making using What-If Analysis 
• Building Data Tables
• Building charts from Data Tables
• Using Scenario Manager for reporting different scenarios
• Exploring Data Analysis tools

Part 2: Understanding your Data
Descriptive Statistics 
• Using statistical functions and formulae
• Plotting different types of charts
• Customising charts for presentations
Inferential Statistics
• Probability Distribution 
• Estimation and Confidence Intervals 
• Hypothesis Testing

Part 3: Visualising your Data
Building dashboard
• Basic visuals
• Data preparation
• Layout planning
• Building functions using DAX


Suitable for

Data Analyst, Business Professionals and Academics with a need to analyse and visualise data, Business and Quantitative Analysts


Minimum Entry Requirements / Assumed Skills and Knowledge

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

Participants are required to bring their own laptops for this training and installed with Microsoft Office 365 or Office 2019.


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

Applicants/Eligibility Total fees (incl. GST)
Singapore Citizens aged 40 and above1 $58.08
Singapore Citizens aged below 40 $154.08
Singapore Permanent Residents $154.08
SME-sponsored Singapore Citizens and Permanent Residents2 $58.08
Full Course Fee $513.60
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.

1Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP's list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
2Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here

Funding Incentives

Please click here for more information on funding incentives.


Register Here

Eligible for SkillsFuture Credit
Terms and Conditions

*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.

Application Procedure

1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:

a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.

b) For NETS payment, you can pay at:
Singapore Polytechnic
PACE Academy

c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number. 

*With effect from 1 August 2021, cheque payment will not be available.

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

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