Affiliate Membership is open to anyone.

• Cleans complex data sets and joins efficiently
• Systematically approaches exploratory data analysis
• Creates new data features
• Identifies appropriate solutions from a range of options
• Critically evaluates results

• Identifies and applies data controls and synthesises data from different sources
• Identifies erroneous data risks
• Explains known benefits and issues with technical approaches
• Applies appropriate evaluation metrics

• Confidently present orally and in writing
• Embeds visuals in data stories
• Produces work aligned to recognised standards
• Shares lessons learnt with the team

• Identifies data value to own sector
• Identifies or elicits project requirements
• Manages risk in own work and manage expectations
• Critically evaluates own work and learn from experience

Our Affiliates are typically able to do the tasks below, or are learning to do tasks at this level

• Carry out some simple, foundational statistical analysis
• Produce visualisations with flexibility in labelling, colour and chart choice and highlight core features
• Intentionally join data sets on key variables
• Create new features of data (e.g., one-hot encoding, dummy variables, summations, filtering)
• Produce interactive visualisations and work with map data
• Work on both downloaded data tables and cloud data sets
• Manage data version control
• Work independently within a data privacy regulations framework
• Produce a schema to promote data reuse and respect copyright laws
• Carry out simple hypothesis testing
• Separate data into a train and test split intentionally
• Create surveys for data collection
• Carry out analytics to support decision making in key areas (e.g., risk management, financial prediction)
• Interpret results with awareness of nuance and meaning