Linkedin - Using Data Effectively and Reliably with AI Analytics

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Free Download Linkedin - Using Data Effectively and Reliably with AI Analytics
Released 03/2025
With George Lynch, John Johnson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 36m 8s | Size: 85 MB

Learn to apply foundational data concepts and subject matter expertise to assess and validate advanced AI-driven analytics.
Course details
Hearing the phrase AI analytics can sound daunting, but don't fret. In this course, instructors George Lynch and John Johnson show you how to think about AI as a super tool that will make you more efficient and effective in your role. Focus on AI for business professionals tasked with assessing, interpreting, and applying outputs in the context of complex business decisions through targeted case studies. Get started applying foundational data concepts and specific subject matter expertise to add value by evaluating and validity of an AI analysis. By the end of this course, you'll be prepared to leverage your data smarts in an AI-powered analytic world.
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Using Data Effectively and Reliably with AI Analytics
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 36m | 85 MB
Instructors: John Johnson, George Lynch​

Hearing the phrase AI analytics can sound daunting, but don't fret. In this course, instructors George Lynch and John Johnson show you how to think about AI as a super tool that will make you more efficient and effective in your role. Focus on AI for business professionals tasked with assessing, interpreting, and applying outputs in the context of complex business decisions through targeted case studies. Get started applying foundational data concepts and specific subject matter expertise to add value by evaluating and validity of an AI analysis. By the end of this course, you'll be prepared to leverage your data smarts in an AI-powered analytic world.

Learning objectives

• Discuss the importance of data quality and reliability for AI analytical tools.
• Explain data pitfalls in AI analytical tools and the important role of the human analyst in assessing outputs and ensuring informed decision-making.
• Use real-world examples of data issues and challenges to make lessons more tangible.
• Gather insights from case studies and apply foundational data analytics concepts to assess and evaluate the reliability and AI analytical outputs.

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