Module 1: Data Literacy and its Role
- Data is Everywhere
- Data-driven Culture
- Creating Value from Data
Module 2: Data Management
- Enterprise Data Management
- Data Governance and Ethics
- Data Collection
Module 3: Data Quality Management
- Identifying Data Quality Issues
- Data Quality Metrics
- Common Data Challenges
- Incomplete Datasets
- Duplication
- Data Type and Formatting Issues
Module 4: Data Structures and Data Traits
- Data Types
- Tidy Data
- Quantitative and Qualitative Data
- Data Scales
- Data Models
- Facts and Dimensions
- Relationships and Joins
Module 5: Data Analysis Process, Terms and Concepts
- Data Analytics Lifecycle
- Business Problems and Hypothesis
- A structured approach
- Stakeholders’ Perspective
- Creating a Hypothesis
- Determining the Data You Need
- Defining Success
- Types of Analytics
- Different types of Average
- Beyond averages
- Distribution and Deviation
- Percentile, Quartiles and Rank
Module 6: Data Analysis and Testing
- Regression Analysis
- Correlation and Causation
- Testing your Hypothesis
- A/B, Control and Multivariate
- Preparing to tell the Data Story
Module 7: Visuals and Charts
- Chart Types
- Visualisation and Statistics
- Matching the Visual to the Data
- Drawing attention to Key Insights
- Focussing on the Difference
Module 8: Storytelling with Data
- What is data storytelling?
- Three key questions
- Context and Empathy
- A Data Story in Three Acts
- Defining Success Criteria
- Dashboards – Types and Design Considerations
Module 9: Data Literacy Socialisation and Communication
- Data-Led Change
- Feedback Loops
