Data Science in Entrepreneurial Marketing
Are you leveraging data and AI to maintain a competitive edge in today’s digital economy?
Course Overview
This course aims to provide participants with fundamental knowledge and skills in data science necessary for developing a marketing plan and launch a marketing campaign. The two-day course introduces a series of tools, libraries, datasets and algorithms, and uses cases of data analysis solutions to real-world problems. The learning design for this course aims to provide participants with hands-on experience and use technology to assist in data science, example; ChatGPT.
Course Duration
15 Hours
Course Mode
- Physical
- Online
Course Dates
| Physical | To be advised |
| Online | To be advised |
Course Details
Course Outline:
- Overview of Data Science (Pre-reading)
- Causal and Correlation Analyses
- Quantitative and Qualitative Analyses
- Applications of ChatGPT for Entrepreneurial Marketing
- Data-Driven Marketing Strategy
At the End of This Course, Participants are Expected to:
- Understand the Basic Data Science for Entrepreneurial Marketing
- Identify and Evaluate the Data Requirements (Key Metrics) and Effective Collection Tools
- Analyse Basic Data for Entrepreneurial Marketing
- Generate Insights from Data-Driven Marketing Strategy
- Generate New Insights on Applications of ChatGPT for Entrepreneurial Marketing
Who Should Attend?
This course is designed for people exploring a career transition (for mid-career workers), realising a dream to be their own boss or are aspiring to fund their own company.
Full Course Fees
S$2,100 (Before GST)
An online assessment will be conducted at the end of the course.
For group registrations, please register your interest with us to discuss your requirements and explore a customised learning solution tailored to your organisation's needs.
Benefits of Group Registration
1. Shared Learning and Organisational Alignment
Team members learn together, fostering a common understanding, and aligned goals to enhance organisational effectiveness and execution.
2. Practical Application to Business Challenges
Participants can apply learning directly to current business priorities, projects, and organisational challenges, ensuring immediate workplace relevance.
3. Industry-Relevant Case Studies
Learning can be enriched with industry-specific cases and real-world business scenarios, making the programme more relevant and impactful.
4. Enhanced Cross-Functional Collaboration
Bringing together participants from different departments encourages knowledge sharing and strengthens collaboration.
5. Delivery & Continuous Support
Classes can be conducted in NTU, your premises, or virtually plus an option of post-programme coaching (with additional fees), if desired. Training dates and times are flexible and can be arranged to suit your organisation's availability.
6. Greater Return on Learning Investment
When teams learn and implement together, organisations are more likely to achieve sustainable improvements and maximise training outcomes.
7. Stronger Innovation and Transformation Capability
Collective learning helps cultivate an innovation mindset, strengthen change leadership, and accelerate organisational growth and transformation.