Working in a hands-on, interactive learning environment, led by our engaging expert you'll learn: 

• Get comfortable with different types of data - learn how to identify and use both qualitative and quantitative data in everyday business situations. 
• Understand the story behind the numbers by exploring the Four Levels of Analytics, making sense of what the data is telling you at each stage. 
• Dive into the world of data visualization, picking up practical skills to turn complex data into engaging, easy-to-understand visuals. 
• Develop your detective skills in data analysis, learning to spot trends, make connections, and draw insightful conclusions from various data sets. 
• Boost your ability to share your data findings, honing the art of explaining complex data insights in simple, effective ways to different audiences. 

This basic level course is ideally suited for beginners and professionals in various fields who are looking to build a foundational understanding of data literacy, either to apply to their day to day practices, or to begin their journey in advanced data studies. It is perfect for those in roles such as business analysts, marketing professionals, small business owners, and anyone eager to enhance their decision-making and strategic skills through the use of data. 

Please note that this topics, agenda and labs are subject to change, and may adjust during live delivery based on audience skill level, interests and participation. 

Day 1: Getting Started with Data 

The World of Data 

• Understanding Data Landscape 
• Types of Data: Qualitative & Quantitative 
• The Role of Data in Modern Businesses 
• Ethical Considerations in Data Use 

The Four Levels of Analytics 

• Descriptive Analytics: Understanding What Happened 
• Diagnostic Analytics: Exploring Why It Happened 
• Predictive Analytics: Anticipating Future Trends 
• Prescriptive Analytics: Making Data-Driven Decisions 

Day 2: Deep Dive into Data Analytics and Literacy 

Defining Data Literacy 

• Components of Data Literacy 
• Developing a Data Literate Mindset 
• Barriers to Data Literacy and How to Overcome Them 
• Case Studies: Data Literacy in Action 

The Data Literacy Umbrella 

• Key Skills in Data Literacy 
• Data Visualization Techniques 
• Storytelling with Data 
• Critical Thinking in Data Analysis 

Reading and Speaking the Language of Data 

• Data Interpretation Skills 
• Communicating Data Insights 
• Data Visualization Tools and Techniques 
• Best Practices in Data Presentation 

Day 3: Strategy, Decision Making, and Practical Applications 

 Combining Data Literacy and the Four Levels of Analytics 

• Integrating Literacy with Analytical Methods 
• Case Studies: Successful Integration in Businesses 
• Workshop: Applying Analytics in Real-World Scenarios 
• Discussion: Overcoming Challenges in Integration 

Data-Informed Decision Making 

• Principles of Data-Driven Decision Making 
• Balancing Data Insights with Business Acumen 
• Tools for Effective Decision Making 
• Workshop: Real-World Decision Making Scenarios 

Data Literacy and Data and Analytical Strategy 

• Formulating a Data Strategy 
• Aligning Data Analytics with Business Goals 
• Emerging Trends in Data and Analytics 
• Group Activity: Developing a Data Strategy Plan