1.1 Welcome to this unit
1.2 Introducing Responsible AI and digital analytics
1.3 What this unit will cover
1.4 What you’ll learn
1.5 A note on completing this unit
1.6 Section 1 quiz
2.1 Welcome to section 2
2.2 Understanding data analysis approaches
2.3 Using data analysis methods
2.4 Understanding data reliability
2.5 Important metrics for success
2.6 Using data to optimise performance
2.7 Uses of data and digital analytics
2.8 Understanding big data, AI and ML
2.9 Section 2 Quiz
3.1 Welcome to section 3
3.2 Popular use cases for AI
3.3 The history of AI
3.4 How Artificial Intelligence works
3.5 Benefits of using AI technologies
3.6 Challenges and limitations
3.7 Understanding cyber security concerns
3.8 Supporting social benefit
3.9 Encouraging explainability and transparency
3.10 Supporting privacy and safety
3.11 Promoting accountability
3.12 Considering biases and fairness
3.13 Examples of AI frameworks
3.14 Section 2 Quiz
4.1 Welcome to section 4
4.2 Understanding organisational goals for Responsible AI
4.3 Understanding laws and standards relating to AI use
4.4 Understanding risks relating to AI use
4.5 Researching responsible AI
4.6 Responsible AI research report template
4.7 Navigating potential bias
4.8 Strategies for encouraging responsible AI use
4.9 Creating responsible AI guidelines
4.10 Responsible AI guidelines template
4.11 Documenting an AI outputs analysis plan
4.12 AI outputs analysis plan template
4.13 Section 4 Quiz
5.1 Welcome to section 5
5.2 Introducing Google Analytics
5.3 Setting up a GA4 account
5.4 Using Google’s GA demo account
5.5 Accessing the GA demo account
5.6 Understanding real-time reporting
5.7 Understanding lifecycle reporting
5.8 Understanding user reporting
5.9 Understanding events in GA
5.10 Understanding audiences in GA
5.11 Understanding custom dimensions and metrics
5.12 Using the explore section
5.13 Using AI features in GA4
5.14 Section 5 quiz
6.1 Welcome to section 6
6.2 Reviewing marketing performance
6.3 Marketing performance report template
6.4 Identifying a focus for investigation
6.5 Creating a marketing analysis plan
6.6 Marketing analysis plan template
6.7 Gathering data
6.8 Reviewing, synthesising and categorising data
6.9 Generating data-driven outcomes
6.10 Applying data visualisation techniques
6.11 Reporting on data analysis
6.12 Marketing analysis report template
6.13 Section 6 Quiz
