Certified Data Analyst

Course Objectives

The Certified Data Analyst Course equips participants with the skillsets needed for the job role of a data analyst.

The construct of the course curriculum takes reference from the Skills Framework for Infocomm Technology Skills Map by covering the required Technical Skills & Competencies (TSC) and Generic Skills & Competencies (GSC) required for the job role of a data analyst.

The course aims to facilitate skills recognition, enhancement and development required for a data analyst by giving participants valuable insights directly from industry practitioners and academics in the data analytics field.

Comprising of five modules, the 80-hour Certified Data Analyst Course is ideal for participants who wish to broaden their analytical skills.

Course Outline

Domain Area	Course	Duration	Description
Analytics and Modelling (Choose 1 out of 3 modules from this category to complete this domain area)	Analytics and Computational Modelling	2 Days / 16 Hours	This course will equip participants with the ability to identify and utilise appropriate advanced statistical, machine learning, computational algorithms and data models to test hypotheses and derive patterns or solutions.
	Data Analytics Using R	2 Days / 16 Hours	This course will explore the strengths of the ‘R’ programming language, in numerical data preparation, analysis and modelling via case studies. Participants will be provided with a broad understanding of data analytic processes and the tools used. By the end of the course, participants will better appreciate analytical processes and use data tools to perform a broad spectrum of analytical operations.
	Data Analysis Using Python	2 Days / 16 Hours	This course aims to introduce participants to Python, a general purpose programming language commonly used in data science by companies to gain insights from harvested data for competitive advantage. Participants will learn ways to import, scrape, store and manipulate data as well as Python libraries and data science tools common used for data analysis.
Business Needs Analysis	Business Needs Analysis - a Data-Driven Approach	2 Days / 16 Hours	This course will enable participants to conduct a thorough, meaningful, and actionable business needs analysis using Data Analytics skills thus enabling successful Data and Analytics initiatives
Data Engineering (Choose 1 out of 2 modules from this category to complete this domain area)	Data Engineering for effective Data Analytics	2 Days / 16 Hours	This course will enable participants to learn about database concepts, architectural design patterns necessary for building data warehousing solutions. Additionally they also learn best practices and methodologies in data acquisition, integration, effective storage and transformation of data for analytical purposes and downstream applications
	Introduction to Data Engineering	2 Days / 16 Hours	No course date available yet
Data Visualization (Choose 1 out of 3 modules from this category to complete this domain area)	Data Visualization with Qlik	2 Days / 16 Hours	This course will enable participants to understand how data visualization can aid data analysis to gain insights more effectively.
	Data Visualization with Tableau	2 Days / 16 Hours	This course aims to equip participants with the skills to easily create useful and interactive visualizations and dashboards for presentation and recommendations to stakeholders. They will learn how to achieve this using Tableau software.
	Visual Analytics using Power BI	2 Days / 14 Hours	This course will enable participants to develop a dashboard that answers the problem question, use available functions and features to develop dashboard, learn to organize and plan items in a dashboard, provide insights, and make informed decisions.
Data Strategy (Choose 1 out of 2 modules from this category to complete this domain area)	Strategies for effective Data and Information Management	2 Days / 16 Hours	This course will provide an overview of core data management capabilities necessary to enable an environment in which the full potential of data can be realised. This course will enable participants to understand the drivers and benefits of good data management, and provide an overview of people, processes and technology
	Fundamentals of Data Architecture, Governance and Strategy	2 Days / 16 Hours	This course aims to introduce participants to key concepts, terminology and characteristics of Big Data and the promise it holds to deliver sophisticated business insights. Besides examining current approaches to enterprise data warehousing and business intelligence, the course also discuss the importance of data governance and strategy in view of the external influences enterprises are exposed to due to Big Data. Participants will also learn to appreciate how Big Data storage and analysis resources can be used in conjunction with corporate performance monitoring tools to broaden the analytic capabilities of the enterprise and deepen the insights delivered by Business Intelligence.

Suitable for
Data Architects, IT Engineers, Data Engineers, IT Analysts, Data Analysts, CTO, CIO, CISO, HODs, Executives, Managers and Professionals working with Data and Information Management.

Assumed Skills and Knowledge
1. Participants are required to bring their own laptops for this training
2. Participants should possess at least a Diploma (in any discipline) with good command of the English language
3. Knowledge of Introductory Statistics, Analytics and relevant skills
4. Participants should be familiar with MS Office Suite

Award / Certification / Accreditation

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

Course Fees payable:

Courses	Singapore Citizens aged below 40 and Singapore PRs		Singapore Citizens		Others
Courses	Non-SME sponsored	¹Sponsored by SME	²Aged 40 and above	³Aged 35 and above, and earn ≤ $2,000 per month	Others
Analytics and Computational Modelling	$385.20 (Incl. GST)	$145.20 (Incl. GST)	$145.20 (Incl. GST)	$85.20 (Incl. GST)	$1,284.00 (Incl. GST)
Data Analytics Using R	$288.90 (incl. GST)	$108.90 (incl. GST)	$108.90 (incl. GST)	$63.90 (incl. GST)	$963.00 (incl. GST)
Data Analysis Using Python	$256.80 (Incl. GST)	$96.80 (Incl. GST)	$96.80 (Incl. GST)	$56.80 (Incl. GST)	$856.00 (Incl. GST)
Business Needs Analysis - a Data-Driven Approach	$272.85 (Incl. GST)	$102.85 (Incl. GST )	$102.85 (Incl. GST)	$60.35 (Incl. GST)	$909.50 (Incl. GST)
Data Engineering for effective Data Analytics	$288.90 (Incl. GST)	$108.90 (Incl. GST)	$108.90 (Incl. GST)	$63.90 (Incl. GST)	$963.00 (Incl. GST)
Introduction to Data Engineering	No course date available yet
Data Visualization with Qlik	$321 (Incl. GST)	$121 (Incl. GST)	$121 (Incl. GST)	$71 (Incl. GST)	$1,070.00 (Incl. GST)
Data Visualization with Tableau	$147.66 (incl. GST)	$55.66 (incl. GST)	$55.66 (incl. GST)	$32.66 (incl. GST)	$492.20 (incl. GST)
Visual Analytics using Power BI	$192.60 (incl. GST)	$72.60 (incl. GST)	$72.60 (incl. GST)	$42.60 (incl. GST)	$642.00 (incl. GST)
Strategies for effective Data and Information Management	$353.10 (Incl. GST)	$133.10 (Incl. GST)	$133.10 (Incl. GST)	$78.10 (Incl. GST)	$1,177.00 (Incl. GST)
Fundamentals of Data Architecture, Governance and Strategy	$288.90 (Incl. GST)	$108.90 (Incl. GST)	$108.90 (Incl. GST)	$63.90 (Incl. GST)	$963.00 (incl. GST)

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.
¹ Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
² Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
³ Under the Workfare Training Support (WTS) scheme. For more information on the scheme, click here.

Funding Incentives

Please click here for more information on funding incentives.

S/N	Courses	Course Dates	Registration Period	Registration Link
1	Analytics and Computational Modelling	13 to 14 Apr 2020	16 to 30 Mar 2020	Register Here
2	Data Analytics Using R	6 to 7 Feb 2020	21 Oct to 21 Jan 2020	Register Here
3	Data Analysis Using Python	08 to 09 Apr 2020	5 Feb to 23 Mar 2020	Register Here
4	Business Needs Analysis - a Data-Driven Approach	20 to 21 Apr 2020	16 Mar to 6 Apr 2020	Register Here
5	Data Engineering for effective Data Analytics	23 to 24 Apr 2020	16 Mar to 9 Apr 2020	Register Here
6	Introduction to Data Engineering	No course date available yet
7	Data Visualization with Qlik	12 to 13 May 2020	16 Mar to 28 Apr 2020	Register Here
8	Data Visualization with Tableau	21 to 22 Aug 2019	29 Jul to 11 Aug 2019	Register Here
9	Visual Analytics using Power BI	No course date available yet		Register Here
10	Strategies for effective Data and Information Management	29 to 30 Apr 2020	16 Mar to 15 Apr 2020	Register Here
11	Fundamentals of Data Architecture, Governance and Strategy	18 - 19 Mar 2020	13 Jan to 04 Mar 2020	Register Here

Eligible for SkillsFuture Credit

Terms and Conditions

Payment Mode

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

Singapore Polytechnic

500 Dover Road Singapore 139651

Last updated: 13 March 2020

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