Fundamentals of Data Literacy Training in United States of America

• Understand how to write formulas using standard functions
• Experience of creating or using charts and graphs

At the end of this course, you’ll be able to:

• Identify data types and structures
• Work with data quality challenges
• Apply a structured approach to work with data
• Create a testable hypothesis
• Use fundamental analytics and statistical approaches
• Select appropriate visuals
• Build an effective data story

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