Data Literacy and AI Fundamentals
Skill Path
Data and AI are increasingly part of everyday work, even in non-technical roles. Yet many professionals struggle to understand data clearly or feel uncertain about how AI fits into their workflows. This skill path is designed to build confidence, not complexity. You'll learn how to communicate data effectively and explore how AI tools can support data-related tasks like explanation, exploration, and communication. By the end of this path, you'll have a practical foundation for working with data and AI in real-world business contexts.
- Beginner friendly
- 1 month (5 hrs/week)
- Self paced
- 2 Courses
Overview of Data Literacy courses
Data Literacy skills you'll learn
- ✓ Communicating data insights clearly and confidently
- ✓ Choosing effective visuals and narratives to explain data
- ✓ Using AI tools to support data exploration and communication
- ✓ Asking better questions of both data and AI tools
- ✓ Making more informed decisions when working with data and AI
Outline of Data Literacy courses
1 steps · 2 courses
Foundations of Data Literacy and AI [2 courses]
Develop core data literacy skills and learn how AI tools can support everyday data work. In this step, you'll learn how to communicate data clearly and explore how AI can help you understand, explain, and work with data more effectively—without technical or coding skills.
- Course 1
Foundations of Data Communication
6hLearn how to understand, explain, and communicate data clearly using stories, charts, and visuals—without needing technical or coding skills.
Course Objectives ▾
- Understand what makes an effective data story and why context matters
- Identify the key components of clear and compelling data communication
- Choose appropriate chart types based on the question you want to answer
- Avoid common chart and visualization mistakes that confuse audiences
- Design clean, focused visuals that highlight the most important insights
- Communicate data clearly to non-technical stakeholders
- Course 2
Using AI to Work with Data
6hLearn how to use AI tools like large language models to explore, explain, and communicate data more effectively—without writing code.
Course Objectives ▾
- Understand what large language models are and how they support data work
- Identify common ways AI tools can improve data communication and understanding
- Learn the fundamentals of writing clear and effective prompts
- Apply prompt techniques to real-world data-related tasks
- Recognize limitations and risks when using AI for data work
- Use AI tools confidently without relying on technical or coding skills
Earn your Data Literacy and AI Fundamentals Certificate
Add this Data Literacy certificate to your resume or LinkedIn to showcase your skills and stand out in job applications.
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