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 | No course date available yet |
| Data Analysis Using Python | 2 Days / 16 Hours | No course date available yet |
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 |
| Data Architecture, Governance and Strategy | 2 Days / 16 Hours | No course date available yet |
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 |
| Non-SME sponsored | 1Sponsored by SME | 2Aged 40 and above | 3Aged 35 and above, and earn ≤ $2,000 per month |
| Analytics and Computational Modelling | $385.20
(Incl. GST) | $145.20
(Incl. GST) | $145.20
(Incl. GST) | $85.20
(Incl. GST) | $1284
(Incl. GST) |
| Data Analytics Using R | No course date available yet |
| Data Analysis Using Python | No course date available yet |
| 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
(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) | $1070
(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) | $192.60
(incl. GST) | $192.60
(incl. GST) | $42.60
(incl. GST) | $642
(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) | $1177
(Incl. GST) |
| Data Architecture, Governance and Strategy | No course date available yet |
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
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 | 17 to 18 Oct 2019 | 29 Jul to 03 Oct 2019 | Register Here |
| 2 | Data Analytics Using R | No course date available yet |
| 3 | Data Analysis Using Python | No course date available yet |
| 4 | Business Needs Analysis - a Data-Driven Approach | TBA | TBA | Register Here |
| 5 | Data Engineering for effective Data Analytics | TBA | TBA | Register Here |
| 6 | Introduction to Data Engineering | No course date available yet |
| 7 | Data Visualization with Qlik | 10 to 11 Oct 2019 | 29 Jul to 26 Sep 2019 | 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 | 03 to 04 Oct 2019 | 29 Jul to 19 Sep 2019 | Register Here |
| 11 | Data Architecture, Governance and Strategy | No course date available yet |
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
