Web Analytics and Data-Driven Decision Making

Website Performance Analytics

• Track and evaluate key metrics for digital engagement and performance.
• Use analytics platforms to optimise page conversions and bounce rates.
• Implement A/B testing and user journey tracking to enhance UX.
• Analyse behavioural data for marketing and design improvements.

Conversion Optimisation Strategies

• Develop data-driven strategies for conversion improvement.
• Use analytics to identify high-performing digital content and pathways.
• Integrate CRO tools with marketing automation platforms.
• Measure and report conversion success through performance metrics.

Foundations of Data Analytics

• Understand the core principles, tools, and methodologies in analytics.
• Explore data lifecycle stages from collection to insight generation.
• Apply descriptive, diagnostic, and predictive analytics techniques.
• Develop problem-solving approaches using statistical reasoning.

Data Visualisation and Communication

• Transform data into meaningful and actionable visual insights.
• Use dashboards and storytelling to communicate analytical outcomes.
• Apply visual design principles to enhance understanding and engagement.
• Leverage software tools like Power BI and Tableau for visual analytics.

Predictive Analytics and Forecasting

• Develop predictive models using regression and time-series techniques.
• Apply machine learning algorithms for accurate forecasting.
• Interpret predictive results to support business decisions.
• Integrate predictive analytics into enterprise planning systems.