Enrollment Options:
Data and Analytics

Artificial Intelligence and Data for Beginners

Cal Al-Dhubaib
Course Duration: 3.8 hours
Released: August 2020
Level: Beginner
Lifetime access with membership
Certification Upon Completion
Artificial intelligence has an almost infinite ability to process data in ways that create tremendous value for marketers. But how do brands go from reading about AI to actually using it?

It starts with asking the right questions about your data. Data powers all artificial intelligence solutions. What AI can and can’t do for your brand depends on the type and amount of data you have.
In this course you will learn:
Data quality and how it impacts expected outcomes. We will demonstrate how inputting biased data could result in bad or unfavorable decisions.
Vendor evaluation, and the questions to ask related to your data to ensure the technology will work for you as planned.
How to navigate internal access to data, including best practices for successfully collaborating with others outside the marketing department.
Ethics and the appropriate use of data, as it relates to ownership, consent, privacy and transparency.
Case studies of companies that have successfully leveraged their data to solve complex business problems and the lessons they learned along the way.

Course Curriculum

  • 1

    Welcome to the Course!

    • A Message From Your instructor

  • 2

    Chapter 1: AI Foundations

    • Lesson 1: Defining AI

    • Lesson 2: Machine Learning, Deep Learning, AI ... Oh My

    • Lesson 3: The Boundaries of AI

    • Lesson 4: The AI Team

    • Lesson 5: The AI Project Journey

    • Test Your Learning

  • 3

    Chapter 2: Data Quality

    • Lesson 1: A Crash Course in Data

    • Lesson 2: Understanding Machine Learning

    • Lesson 3: Evaluating Models Part 1

    • Lesson 4: Evaluating Models Part 2

    • Lesson 5: Evaluating Models Part 3

    • Lesson 6: Curating Quality Data

    • Lesson 7: Governance for AI

    • Test Your Learning

  • 4

    Chapter 3: Ethics

    • Lesson 1: AI Gone Wrong

    • Lesson 2: Deep Learning and Explainability

    • Lesson 3: How AI Breaks

    • Lesson 4: Bias in Pre-Trained Models

    • Exercise: Bias From a Sample Dataset

    • Exercise: Bias From Pre-Built Models

    • Test Your Learning

  • 5

    Chapter 4: Nailing the Pilot

    • Lesson 1: Select Your Use Case

    • Lesson 2: Scope the Problem

    • Lesson 3: Finding Data

    • Lesson 4: Managing Your Risk

    • Lesson 5: Feasability and Working with Partners

    • Lesson 6: Diagnosing Challenges and Pivoting

    • Test Your Learning

  • 6

    Next Steps...

    • Closing Notes From Your Instructor

    • More Resources For You

    • Certification Exam

    • Before You Go...

Meet Your Instructor

Cal Al-Dhubaib

Cal Al-Dhubaib is a data science thought leader in the Midwest. He empowers organizations to launch data science initiatives that grow the bottom line. He regularly speaks on artificial intelligence and how organizations can ethically leverage their data for impact. Al-Dhubaib has received both national and international recognition for his work in predictive modeling and entrepreneurship. As the first data science graduate from Case Western Reserve University, he advocates for careers and educational pathways in data science and contributes to workforce development initiatives throughout the region.

Managing Partner, Pandata