Data & AI Literacy
From Data Skeptic to AI-Enabled Professional
Course Overview
As Artificial Intelligence transitions from a futuristic concept to a daily work tool, the ability to understand and interact with it is no longer optional. This course is designed to bridge the gap between technical complexity and practical utility, moving you from fear or indifference to becoming an informed, critical user.
We focus on the dual pillars of modern information: Data Literacy (the ability to read, analyze, and argue with data) and AI Literacy (understanding the mechanics, possibilities, and ethics of machine intelligence). By the end of this course, you will not only know how AI works, but also how to use it responsibly to augment your own human expertise.
We focus on the dual pillars of modern information: Data Literacy (the ability to read, analyze, and argue with data) and AI Literacy (understanding the mechanics, possibilities, and ethics of machine intelligence). By the end of this course, you will not only know how AI works, but also how to use it responsibly to augment your own human expertise.
Who This Is For
Non-Technical Leads & Managers
Content & Creative Teams
Legal & Governance Professionals
Knowledge Workers & Strategists
Curriculum & Modules
01
Foundational Data Literacy
* Interpreting common visualizations (Heatmaps, Scatter Plots, Box Plots) * Identifying data quality issues: missing values, duplicates, and outliers * Statistical thinking: correlation vs. causation and margin of error02
Demystifying the "Black Box"
* AI vs. Machine Learning vs. Deep Learning * Supervised, Unsupervised, and Reinforcement Learning concepts * How Generative AI differs from Predictive AI models03
Practical AI Skills
* The art of Prompt Engineering for Large Language Models (LLMs) * Using AI for data cleaning and initial insight generation * Identifying hallucinations and misinformation in AI outputs04
Ethics, Governance & Privacy
* Understanding and mitigating algorithmic bias in training data * Privacy guardrails: handling proprietary data with public AI tools * Intellectual property and the legal landscape of AI-generated content05
Data Storytelling & Human-in-the-Loop
* Translating AI insights into persuasive business narratives * The role of human judgment in high-stakes AI decision-making * Final Project: Building a responsible AI workflow for a real-world taskReady to Master This Topic?
Join our waitlist or download the full syllabus to learn more about this transformative course.
Certificate of Completion provided by Tenets of Data