Data and Analytics

Exploratory Data Analysis: The Missing Step for AI [MAICON 22]

Christopher S. Penn
Course Duration: 31 minutes
Released: August 2022
Level: Beginner
Few things guarantee success with AI, but one thing guarantees failure: skipping exploratory data analysis. In this brand new, never-before-seen talk from AI practitioner and TrustInsights.ai Chief Data Scientist Christopher Penn, you'll learn how to increase the odds of success for any AI project, whether with a vendor or in-house.

Most of this session is appropriate for any level practitioner; the walkthrough will showcase technologies in the free R programming language, but does not require technical skill to understand.

This Course is a recording of one of the main stage talks at the Marketing Artificial Intelligence Conference (MAICON), which was held in August 2022.
You'll learn:
What exploratory data analysis is and isn't.
Why AI demands proper exploratory data analysis, and why so many companies skip this vital step.
How to conduct proper exploratory data analysis, from data integrity to feature selection to principal component analysis.
When to put the brakes on an AI project because your data isn't ready.
Meet Your Instructor

Christopher S. Penn

Christopher S. Penn is an authority on analytics, digital marketing, marketing technology, data science, and machine learning. A recognized thought leader, best-selling author, and keynote speaker, he has shaped five key fields in the marketing industry: Google Analytics adoption, data-driven marketing and PR, modern email marketing, marketing data science, and artificial intelligence/machine learning in marketing. As co-founder and Chief Data Scientist of Trust Insights, he is responsible for the creation of products and services, creation and maintenance of all code and intellectual property, technology and marketing strategy, brand awareness, and research and development.

Co-Founder and Chief Data Scientist, TrustInsights.ai