GENERATIVE AI:
DATA FOUNDATIONS

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  • Level: Intermediate
  • Length: 60 Minutes
  • 11 Interactive Lessons
  • Downloadable Resources
  • Live Demonstrations
  • Activities to Implement
  • Completion Certificate
  • Real-World Examples
  • Instructor: Krista Neher

WHY YOU'LL LOVE GENERATIVE AI: DATA FOUNDATIONS

AI is a powerful data analysis partner. AI can support multiple aspects of data handling, including data cleaning, analysis, adding context, providing insights, and developing recommendations.

In this course, you'll learn how you can use AI for data analysis across a variety of data inputs and outputs.

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COMPLETION CERTIFICATE INCLUDED

COURSE DETAILS

Course Outline

Part 1
Lesson 1: AI Data Foundations
  • The benefits of using AI for data tasks
  • Why AI is a powerful tool for a range of data tasks and processes
Lesson 2: AI Data Capabilities
  • The different data tasks that AI can support
  • How detailed and quick AI is at providing data outputs
Lesson 3: Data Analytics Watch Outs
  • The primary risks when using AI for data tasks
  • How to minimize the risks
Lesson 4: Types of Data
  • AI can understand and interpret data from multiple formats
  • How to check if AI can understand your data before starting a data task
Lesson 5: Steps to AI Data Analysis
  • The steps to conducting data analysis with AI
  • How AI supports each stage of data analysis
Part 1
Lesson 6: Provide AI with Data Content
  • Why context is important in AI data prompts
  • The specific context that helps with AI data analysis
  • How business, data, analysis and objective context produce better AI results
Lesson 7: Prompting Foundations for Data Analysis
  • How to effectively prompt for data with AI
  • How to apply the B.R.I.E.F. framework to data prompts
  • Elements that improve specificity with data prompts
Lesson 8: Prompting Tips for Data
  • Tips and best practices for data prompting
  • How to effectively prompt for data analysis
Lesson 9: Data Analysis Prompt Layering
  • How to apply a prompt layering approach to data analysis
  • How to dig deeper with specific, detailed questions
Lesson 10: Prompt Templates
  • Types of data prompts and what they do
  • Templates you can use for different types of prompts
Lesson 11: Validating AI Outputs
  • Why it is essential to validate AI outputs
  • How to apply strategies to validate outputs

What You'll Learn

  • Articulate the benefits of using AI for data analytics.
  • Use AI for a range of tasks like data cleaning, categorization, analysis, forecasting, scenarios, and more.
  • Avoid common pitfalls and risks when using AI for data tasks.
  • Apply the steps of data analysis and use AI at each stage.
  • Provide AI with data context to get better results from analysis.
  • Apply prompting tips and best practices with a proven data prompting framework.
  • Use prompt templates for each stage of data prompting.
  • Validate AI data outputs with multiple validation strategies.
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OUR HAPPY CLIENTS

MEET YOUR INSTRUCTOR
KRISTA NEHER

 Krista Neher is a six-time bestselling author, international speaker, award-winning entrepreneur, global thought-leader, and an expert in social media, digital marketing, and personal branding, with over 20 years of experience.

She is the CEO of Boot Camp Digital and a contributor on Forbes and Newsweek. She wrote the first textbook on social media and created the first accredited digital marketing certification in the world.

Connect with Krista on LinkedIn 

ABOUT BOOT CAMP DIGITAL

Boot Camp Digital is the global leader in digital marketing training and education, with over 20 years experience. We've worked with the biggest companies like GE, P&G, Meta, Google, T-Mobile, NASA, The United Statess Senate, Medtronic, Johnson & Johnson, General Mills, Boeing, Cisco, and countless small and medium businesses.
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  • Customized for industries and organizations
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  • Practical with real examples
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  • Expert instructors with practical experience

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