Data Literacy and AI Fundamentals

Name: Data Literacy and AI Fundamentals
Availability: RequiresRegistration
Rating: 4.8 (359 reviews)

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.

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4.8 (359 reviews)

Beginner friendly
1 month (5 hrs/week)
Self paced
2 Courses

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Data Literacy and AI Fundamentals

Enroll For Free

Build practical data literacy skills and learn how AI fits into everyday data work. This short skill path is designed for non-technical professionals who want to understand, explain, and work with data more confidently—and use AI as a helpful support tool without writing code.

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

Foundations of Data Literacy and AI [2 courses]

Course 1: Foundations of Data Communication 6h

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 6h

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

The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

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Machine Learning Engineer at Twitter

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