Professional Certificate in Data Analytics Tools
In today’s data-driven landscape, organisations across industries increasingly depend on data to make informed decisions and guide strategic initiatives. As the volume and complexity of data continue to expand, the ability to analyse and interpret data effectively has become crucial.
Earning this Professional Certificate in Data Analytics Tools will enhance your professional profile, making you a more competitive candidate for roles that require data analysis capabilities. With the rising importance of data-driven decision-making, this certification not only prepare you for more sophisticated analytical challenges in the future but also underscores your commitment to staying current with industry-relevant knowledge. Whether you aim to progress in your current role or transition to a new career, this certification will give you a competitive advantage in the job market.
The programme is structured around three essential courses, each focusing on a distinct aspect of data analytics.
- Advanced Professional Certificate in Data Analytics
- Professional Certificate in Data Management & Governance
- Relevance and Hands-On: Master key data analytics tools – Excel, SQL, and Tableau – with immersive, hands-on training. Learners gain skills that are directly applicable to real-world data analysis tasks.
- Comprehensive Learning: The courses cover a broad spectrum of data analysis techniques, from basic data wrangling to advanced visualisation and forecasting. By mastering these essential tools, you'll build a robust foundation for advancing your analytical capabilities.
- Career Readiness: The curriculum is based on industry needs and trends, ensuring that the skills acquired are relevant and in demand, enhancing employability and career prospects. Earning this Professional Certificate will elevate your professional profile, positioning you as a leading candidate for data analysis roles.
- Expert Instruction: Mastering these tools will sharpen your data analysis and interpretation skills. This hands-on experience will enhance your problem-solving abilities and equip you for tackling advanced analytical tasks ahead.
- Flexible Learning: Our programme is tailored specifically for busy professionals, offering flexible module formats that make it easy to juggle studies with career responsibilities.
Course Title | Objective |
Course 1 | This course is the foundational course of this programme as it focuses on the activities of a business and data analyst from data acquisition to presentation of insights. In this programme, we've structured the learning into three segments, each focusing on the tools most essential for business and data analysts. What you will learnt:
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Course 2 | Whether individual or business, we are constantly inundated with data and information through various digital and non-digital channels. Whilst digital tools and methods for gathering data and information about our customers,
competitors and markets are used extensively, non-digital techniques, approaches and channels are also there for us to leverage on. What you will learnt:
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Course 3 | Companies are incorporating, or at the very least, leveraging on technologies in their operations. They are digitally connecting themselves to their suppliers, partners, government and customers. Two things that have stood out in the digital economy are the potential of data analytics and the opportunity to be more sensing as an organisation. Understanding the customer goes beyond profiling the customer; a company seeks to understand the “How”, “When”, “Why” and “Where” of the purchase cycle. The objective of this course is to provide participants with the knowledge on how to leverage on data analytics and market sensing to improve sales and marketing efforts. What you will learnt:
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- Professionals looking to upskill or reskill in data analytics to enhance their job performance and career prospects.
- Managers and decision-makers who want to leverage data analytics to drive business insights and strategic decisions.
- IT and data professionals aiming to strengthen their technical expertise and broaden their understanding of key analytic tools.
Venue: NTU@one-north campus, Executive Centre (Buona Vista)
Time: 9am - 5pm
Course | Course Dates |
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Data Analysis and Forecasting | 18 - 20 November 24 Apply here Closing on 28 Oct 24 |
Market Sensing Tools & Approaches | 28 - 29 November 24 Apply here Closing on 7 Nov 24 |
Leveraging on Data Analysis to Improve Sales and Marketing | 26 - 27 November 24 Apply here Closing on 5 Nov 24 |
Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.
Application is closed
Upon completing all three courses, participants will be awarded a Professional Certificate in Data Analytics Tools from NTU, demonstrating their proficiency in these essential areas of data analytics. |
Fee and Funding | ||||
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Course | Standard Fee (Inclusive of 9% GST) | Singapore Citizens (aged 21-39) / PR (aged ≥21) 70% Funding | Singapore Citizens (aged ≥40) MCES1 - up to 90% | SME-sponsored Singapore Citizens / PR ETSS2 - up to 90% |
Professional Certificate in Data Analytics Tools (C1 + C2 + C3) | S$5,777 | S$1,733.10 | S$673.10 | S$673.10 |
Data Analysis and Forecasting (C1) | S$2,943 | S$882.90 | S$342.90 | S$342.90 |
Market Sensing Tools & Approaches - Practical Application (C2) | S$1,526 | S$457.80 | S$177.80 | S$177.80 |
Leveraging on Data Analytics to improve Sales & Marketing (C3) | S$1,308 | S$392.40 | S$152.40 | S$152.40 |
Funding Requirements
- You must achieve a minimum of 75% attendance for each course.
- You must complete and pass all assessment components.
Read more about funding here.
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Mr. Francis Tay Francis is currently a lecturer at Nanyang Technological University (NTU) Wee Kim Wee School for Communications and Information (WKWSCI), teaching Business Intelligence, Information Sources and Services, and Information Entrepreneurship in the Master of Knowledge Management, Master of Information Systems, and Master of Information Studies and Master of Mass Communications. He has been teaching at NTU at post-graduate level for more than 10 years. Francis obtained his Honours degree from NUS, majoring in Economics and Computer Science & Applications, and his Master of Science in Management (Sloan Fellowship) from the London Business School in the UK. Francis served 5 years on the National Youth Council’s Singapore Youth Awards (SYA) Entrepreneurship committee and has provided mentorship to companies and others under various business programmes at universities and start-up accelerators. | |
Ms. Khoo Seok Teng Seok Teng is a committed and versatile educator with significant industry experience and extensive teaching experience. She possesses strong business acumen and domain knowledge across different industries - hospitality, travel, technology and telecoms. She has a passion for delivering enriching learning experiences to both young adult learners and mature learners by using relatable real-world examples. Seok Teng is also a Chartered Accountant, CFA, MBA, BSc (Computer Science) and Tableau Desktop Specialist. | |
Mr. Kan Hwa Heng Hwa Heng is an adjunct lecturer at various institutes of higher learning. He teaches ICT subjects such as databases, SQL language, object-oriented programming, web application development, and data visualisation. He has been more than 4 years of teaching experience. Hwa Heng has more than 20 years of experience in the ICT industry. He performed various technical roles including software development, technical pre-sales and IT project management. He developed and maintained enterprise applications for the government, banking and healthcare domains. Hwa Heng obtained his MBA (Management of Information Technology) and Honours degree (Computer Technology) from Nanyang Technological University (NTU). He is a certified Project Management Professional and certified Tableau Desktop Specialist. |