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

• The Flow of Data: From collection to actionable insights. 
• Analytics Maturity: Master descriptive, diagnostic, predictive, prescriptive, and semantic analytics. 
• Four-Pillar Model of Data Analytics: Learn its application in business. 
• Organizational Strategy for Data Literacy: Adopting data-informed decision-making. 
• Managing Data Environments: Utilizing low-code/no-code solutions for data infrastructure. 
• Performance Metrics: Identifying and tracking relevant KPIs. 
• Effective Data Visualization: Designing dashboards and reports. 
• Analytical Thinking: Questioning data and drawing insights. 
• Ethical Data Handling: Navigating the ethical dimensions of data analytics. 
• Decision-Making: Turning insights into actionable decisions. 
• Data Literacy Competency Framework: Identifying and developing necessary competencies. 
• Assessing Data Literacy Maturity: Personalizing your learning journey. 
• Project Management in Data Analytics: Overseeing data and analytics projects. 

This course is ideally suited for data analysts, business professionals, and teams seeking to enhance their data literacy and analytical capabilities. It caters to those aspiring to integrate data-driven decision-making and strategic insights into their professional roles across various industries. 

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. 

Module 1: Understanding Data Literacy Concepts 

The Beginning -The Flow of Data 

• Understanding data's role in daily life 
• Fundamentals of data analysis 
• Introduction to data literacy concepts 
• Exploring organizational data flow 

Unfolding Your Data Journey 

• Path towards analytics maturity 
• Exploring different types of analyses: descriptive, diagnostic, predictive, prescriptive 
• Case study: The life-saving power of data 

Understanding the Four-Pillar Model 

• Comprehensive overview of data literacy aspects 
• Detailed look at the four pillars of data analytics 
• Practical application and integration of the pillars 

Implementing Organizational Data Literacy 

• Strategies for fostering a data-literate culture 
• Steps to plan and communicate a data literacy vision 
• Designing and evaluating data literacy programs 

Module 2: Measuring the Why, What, and How 

Managing Your Data Environment 

• Introduction to data management principles 
• Assessing and improving data quality 
• Future trends in data management 
• Strategies for effective data strategy development 

Aligning with Organizational Goals 

• Linking data initiatives with business objectives 
• Key considerations for data-driven goal alignment 

Designing Dashboards and Reports 

• Importance and principles of data visualization 
• Pitfalls in visual representation of data 
• The DAR(S) principle in visualization 
• Selecting appropriate visualization types 

Questioning the Data 

• Cultivating curiosity and critical thinking in data analysis 
• Tailoring questions to different stages of decision-making 

Module 3: Understanding Change and Assessing Activities 

Handling Data Responsibly 

• Overview of risks in data analytics 
• Addressing data security, privacy, and ethical concerns 

Turning Insights into Decisions 

• Framework for data-informed decision-making 
• The art of storytelling with data 

Defining a Data Literacy Competency Framework 

• Establishing a framework for data literacy competencies 
• Identifying essential data literacy skills 

 Assessing Your Data Literacy Maturity 

• Techniques for assessing personal and organizational data literacy 

Managing Data and Analytics Projects 

• Understanding common pitfalls in data projects 
• Best practices for project management in data analytics 
• Crafting effective data analytics business cases