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Program Curriculum
Need a quick reminder of your current or upcoming assignments/events?
This page is your essential resource for staying updated regarding everything the program entails!
This page is your essential resource for staying updated regarding everything the program entails!
Data Literacy
Course #1
Chapter #1
"Data Basics"
Chapter #2
"Data Wisdom"
Chapter #3
"Data In-Depth"
Course #2
Chapter #1
"Communicating Information"
Chapter #2
"Effective Data Visuals"
Chapter #3
"Storytelling with Data"
Course #3
"Introduction to Data Literacy"
Chapter #1
"Data Literacy Basics"
Chapter #2
"Reading Data"
Chapter #3
"Working With and Analyzing Data"
Chapter #4
"Communicating Insights"
Course #4
Chapter #1
"Summary Statistics"
Chapter #2
"Probability and Distribution"
Chapter #3
"More Distributions and The Central Limit Theorem"
Chapter #4
"Correlation and Hypothesis Testing"
Course #5
"Introduction to Data Culture"
Chapter #1
"Getting to Know Data Culture"
Chapter #2
"Data Culture in Depth"
Course #6
"Forming Analytical Questions"
Chapter #1
"Delivering Value Through Data"
Chapter #2
"Impactful Solutions Need The Right Questions"
Chapter #3
"Analytical Questions In Action"
Course #7
Chapter #1
"Telling A Great Story"
Chapter #2
"Data Story Components"
Chapter #3
"Visualizing Your Story"
Course #8
"Data Literacy Case Study: Remote Working Analysis"
Chapter #1
"Getting To Know The Case Study"
Chapter #2
"Investigating Remote Working Habits"
AI Fundamentals
Course #1
"Understanding Artificial Intelligence"
Chapter #1
"What is Artificial Intelligence (AI)?"
Chapter #2
"Tasks AI Can Solve"
Chapter #3
"Harnessing AI in Organizations"
Chapter #4
"The Human Side of AI"
Course #2
Chapter #1
"Interacting With ChatGPT"
Chapter #2
"Adopting ChatGPT"
Course #3
"Understanding Machine Learning"
Chapter #1
"What is Machine Learning?"
Chapter #2
"Machine Learning Models"
Chapter #3
"Deep Learning"
Course #4
"Large Language Models (LLMs) Concepts"
Chapter #1
"Introduction to Large Language Models (LLM)"
Chapter #2
"Building Blocks of LLMs"
Chapter #3
"Training Methodology and Techniques"
Chapter #4
"Concerns and Considerations"
Course #5
Chapter #1
"Introduction to Generative AI"
Chapter #2
"Developing Generative AI Models"
Chapter #3
"Using AI Models and Generated Content Responsibly"
Chapter #4
"Getting Ready for The Age of Generative AI"
Course #6
Chapter #1
"Approaching AI Ethics"
Chapter #2
"Below The Surface: AI Ethics"
Chapter #3
"The Way Forward: AI Ethics"
AI Ethics
AI Ethical Principle #1
Transparency
AI Ethical Principle #2
Bias Awareness
AI Ethical Principle #3
Data Privacy
AI Ethical Principle #4
Accountability
AI Ethical Principle #5
Fairness
AI Ethical Principle #6
Human Oversight
AI Ethical Principle #7
Authenticity
AI Ethical Principle #8
Responsible Use
AI Ethical Principle #9
Continuous Learning
AI Ethical Principle #10
Community Engagement
Career Readiness
Webinar #1
How To Write A Job-Landing Resume
Webinar #2
Creating A Great LinkedIn Profile
Webinar #3
Social Media Etiquette
VR Career Exploration Events
During these events, scholars will get the chance to explore various career paths virtually utilizing VR headsets! Stay tuned for more details!
Our mission is to promote data-driven decision-making, foster innovation, and drive positive change in underrepresented and marginalized communities worldwide using data analytics and generative AI technologies.
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