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Program Curriculum
Need a quick reminder of your assignments or a refresher on using a specific generative AI tool?
Use the links below to access all current assignments and recorded webinars you may have missed. For upcoming webinar dates, check the Program Calendar, and remember, new recordings will be uploaded the day after each live session.
This page is your essential resource for staying updated and on track!
Use the links below to access all current assignments and recorded webinars you may have missed. For upcoming webinar dates, check the Program Calendar, and remember, new recordings will be uploaded the day after each live session.
This page is your essential resource for staying updated and on track!
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"
Generative AI
Recorded Webinar #1
"Introduction to Gamma"
Click on the link above to access the recorded webinar!
Recorded Webinar #2
"Introduction to Soundraw"
Recorded Webinar #3
"Introduction to Synthesia"
Recorded Webinar #4
"Introduction to Murf.AI"
Recorded Webinar #5
"Introduction to Grammarly/Writesonic"
Recorded Webinar #6
"Introduction to Feedly"
Recorded Webinar #7
"Introduction to Browse.AI"
Recorded Webinar #8
"Introduction to Monic.AI"
Recorded Webinar #9
"Introduction to Gemini"
Recorded Webinar #10
"Introduction to ChatGPT"
AI Ethics
Recorded Webinar #1
"Transparency in AI"
Recorded Webinar #2
"Bias Awareness in AI"
Recorded Webinar #3
"Data Privacy in AI"
Recorded Webinar #4
"Accountability in AI"
Recorded Webinar #5
"Fairness in AI"
Recorded Webinar #6
"Human Oversight in AI"
Recorded Webinar #7
"Authenticity in AI"
Recorded Webinar #8
"Responsible Use of AI"
Recorded Webinar #9
"Continuous Learning in AI"
Recorded Webinar #10
"Community Engagement in AI"
Career Readiness
Recorded Webinar #1
"How To Write A Job-Landing Resume"
Recorded Webinar #2
"Creating A Great LinkedIn Profile"
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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