Generative AI: Harnessing AI to Unlock Your CreativityGenerative AI: Harnessing AI to Unlock Your Creativity is an intermediate course that teaches you how to use AI as a creative partner.
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- Use AI to conduct trend, comparative, segmentation, and root cause analysis.
- Discover the 8 types of analysis you can conduct with AI and how to prompt them.
- Learn how to use AI to uncover data relationships, patterns, and correlations.
- Get smarter forecasting and scenario planning using AI tools.
- Analyze complex data using best practices for AI prompting.
- Apply AI to gain faster and more accurate insights from your data.
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> AI Data Analysis Playbook
-> AI for Data Analysis Quickstart Guide
AI is a powerful partner in data analysis. It can quickly and efficiently analyze data, uncover patterns, and develop insights. This course shows you how to use AI to analyze data. Discover the different types of analysis you can conduct with AI, and the best practices to prompt them.
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Generative AI: Data Analysis Course Outline
- The components of a data analysis
- The different types of analysis you can conduct with AI
- Why it can be helpful to start with a broad analysis prompt
- How to prompt with a broad analysis prompt
- How to use AI for a trends analysis
- Tips and best practices for conducting a trend analysis with AI
- What a comparative analysis is and how to use AI for it
- Tips and best practices for using AI for comparative analysis
- What a root cause analysis is and how to use AI for one
- Tips and best practices for conducting a root cause analysis with AI
- What a drivers and decomposition analysis is and how AI helps with it
- Tips and best practices for a drivers and decomposition analysis
- How to use AI to create and analyze segments in your data
- Tips and best practices for prompting segmentation analysis with AI
- How to use AI to conduct correlation and relationship analysis
- Tips and best practices for prompting AI for correlation analysis
- How to use AI for statistical summary analysis
- Tips and best practices for using AI for statistical summaries
- How to use AI to conduct a benchmarking analysis
- How AI can blend your data with external data and research to provide insights
- Tips and best practices for benchmarking with AI
- How to use AI for data forecasting
- Tips and best practices for prompting AI to forecast data
- How to use AI to create and analyze different scenarios
- Tips and best practices for prompting AI scenario analysis
- How to use AI to gain insights and recommendations
- Tips and best practices for gaining insights and recommendations with AI
Course Description
Generative AI: Data Analysis is an advanced course designed to show you how to use AI to conduct deep and meaningful data analysis. Whether you’re analyzing sales, marketing, operational, or customer data, this course gives you the step-by-step instructions, best practices, and prompts to use AI effectively.
We start by breaking down the components of a strong data analysis. You’ll learn the core types of analysis you can conduct with AI and how to use AI to get a broad overview of your data. This sets the foundation for discovering trends, patterns, and insights quickly.
Next, we explore specific types of analysis. You’ll learn how to use AI to spot trends and interpret what they mean for your business. You’ll dive into comparative analysis to evaluate performance over time or between groups, and root cause analysis to pinpoint exactly why changes happen. These methods help you go beyond surface-level data and uncover what really matters.
You’ll also explore drivers and decomposition analysis to identify what factors contribute to your results. With segmentation analysis, learn how to use AI to break your data into meaningful groups to unlock new opportunities. Understand how to prompt AI to uncover relationships and correlations that may not be obvious.
Advanced data work includes using AI for statistical summaries, benchmarking, and forecasting. Learn how to blend internal and external data to create scenarios and explore possible outcomes to guide smarter decisions. Finally, we show you how to extract insights and recommendations from AI that you can use immediately.
By the end of this course, you’ll know exactly how to prompt AI for different types of data analysis, use best practices to avoid common pitfalls, and turn raw data into meaningful insights.
This interactive course includes the AI Data Analysis Playbook and the AI for Data and Analysis Quickstart Guide to help you implement your learning. You’ll also get live demonstrations, real-world examples, and opportunities to apply your knowledge right away.
Learning Objectives
- Articulate the components of an AI data analysis.
- Conduct a broad analysis to get an initial sense of your data.
- Use AI to analyze trends in your data and what they mean.
- Dig deeper into data with comparative, root cause, and driver analysis.
- Use AI to find and apply segments to your data.
- Uncover relationships and correlations in your data.
- Use AI for statistical summaries, benchmarking, forecasting and scenario analysis.
- Get deep insights and recommendations with AI.
Resources
- AI Data Analysis Playbook
- AI for Data and Analysis Quickstart Guide
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Instructor
Krista NeherDigital Marketing Expert & Best-Selling Author
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.
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