Strategic Insights and Analytics

Amid the ongoing disruptions and challenges coming from all sides, modern business entities need to be more adaptive to unforeseen customers’ needs caused by new market conditions such as the outbreak of COVID. Strategic initiatives and actions backed by customer insights and data analytics will become indispensable for any organisation that wants to remain competitive. For startups, crafting a go-to market strategy during the initial stage of customer discovery and validation relies heavily on strategic insights and analytics for gaining traction. 


As smart and connected products and services become more prevalent in this coming decade, knowing the sources of data and how to acquire them programmatically for further cleaning, filtering, aggregation, modelling, evaluation, visualisation, and on- demand interaction will become increasingly important in running a data-driven organisation.


The purpose of this course is to prepare enrolled students in becoming data driven product/operation professionals, digital marketing specialists, and startup founders by helping them to become more human and data centric in solving problems.

After taking the course, students will be able to:

• Build data driven minimum viable product (MVP) for performing product-market fit validation using visual prototyping and low-code/no-code tools.
• Apply qualitative and quantitative methods for MVP validation using usability studies and A/B tests.
• Learn SEO and web analytics for performing user acquisition and customer conversion analysis.
• Source data through open data, internal data export, data scraping, and application program interface (API).
• Master SQL and BigQuery ML for performing descriptive and predictive analytics.
• Scrap, clean, transform, and visualise data for exploratory data analysis.