Predictive Analytics for Marketing
Marketing
SGD 2,071
(SGD 241.30 after MAX Funding)
18 Jan - 19 Jan 2024
9:00 am - 5:30 pm
NUS Business School
Intermediate
Overview
Enhance your ability to analyse data and improve marketing decision-making. Learn powerful techniques to do so with this data analytics course in Singapore.
As part of any marketing plan, marketers must track, measure and predict the impact of all key marketing programmes. There are three important questions to be answered:
- What will you measure?
- When will you measure?
- How will you measure?
Without knowing the answers, marketers cannot successfully manage or improve their marketing programmes. The 2-day course will introduce techniques and metrics that enable marketers to evaluate marketing initiatives by measuring performance. They will be able to report on the past, analyse the present and predict the future.
Marketing analysis can be a challenging and intimidating process. Yet, analytics is perhaps the most important aspect for marketers to change the perception that marketing is a cost center. Measuring marketing activities or predicting the results are essential to successfully achieving marketing goals.
Upon completion of the course, participants will be able to softwares such as tableau public and Orange to:
- Understand how marketing analytics help to attract and retain customer
- Apply analytical techniques to solve problems in customer acquisition and customer relationship management
- Learn to use data to support marketing decisions
Outline
Day 1
- Trends and Development in Marketing Analytics
- Customer Lifetime Value Calculation
- Supervised Learning and its applications
- Market Forecasting
- Customer Churn Prediction
Day 2
- Unsupervised Learning and its applications
- Cluster Analysis for market segmentation
- Market Basket Analysis
Who Should Attend
Marketing Practitioners, Data Analysts
Application Procedure & Deadline
Participants are strongly advised to apply at least 2 weeks in advance.
Pre-Requisites
Work experience in data analytics or have done statistics at the university level.
Fees & Funding
| Self-Sponsored | SME (ETSS Scheme) Company-Sponsored |
Non-SME Company-Sponsored |
|
| Course Fees | S$2,071.00 | S$2,071.00 | S$2,071.00 |
| Singapore Citizens & PRs | S$621.30 | S$241.30 | S$621.30 |
| Singapore Citizens aged 40 years and above (MCES Scheme) | S$241.30 | S$241.30 | S$241.30 |
The above prices are quoted in Singapore dollars (SGD), inclusive of 9% GST.
Faculty
GUO, Lei
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