Leverage AI in Data Analytics From Automation to Storytelling

Learn how AI is transforming the field of data analysis.
Course details
Learn how AI is transforming the field of data analysis. Instructor Alex Freberg gets started by comparing traditional analysis methods with AI-augmented approaches, then dives into practical use cases such as automation, hypothesis testing, and code generation. Find out how to communicate AI-driven insights with confidence, using storytelling strategies to reach nontechnical stakeholders. Along the way, Alex covers the limitations of AI in real-world scenarios, including accuracy concerns and the need for human oversight. Finally, explore case studies from leading organizations such as Salesforce, Microsoft, and Walmart to see AI in action. Whether you're an analyst looking to save time or a business leader curious to learn more about AI's potential, this course equips you with the skills you need to leverage AI effectively and responsibly.
Learning objectives
- Differentiate between traditional and AI-augmented analysis methods.
- Identify and apply practical AI use cases in analytics workflows.
- Communicate AI-driven insights effectively to technical and nontechnical audiences.
- Recognize and mitigate limitations of AI, including hallucinations and biases.
- Evaluate real-world case studies to see how leading organizations leverage AI for data analysis.
Skills covered
Generative AI, Data Analysis, Data Analytics
Homepage

https://www.linkedin.com/learning/leverage-ai-in-data-analytics-from-automation-to-storytelling/traditional-analytics-vs-ai-powered-analysis?u=73723940

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