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Utilizing Excel, Python, and Copilot as a Citizen Data Scientist

سرفصل های دوره

As the tools for integrating AI into everyday productivity workflows become more refined and accessible, a new term for people using these tools has become increasingly common: the citizen data scientist. A citizen data scientist is someone who can now do much of the work of what a bona fide data scientist did just a few years ago, including being equipped with basic skills and conceptual knowledge to effectively approach data-related questions and integrate established tools like Excel with the power of AI. In this course, instructor Chris Hui covers the AI frameworks needed to optimize prompt retrievals from GPT-4 LLMs, as well as hands-on practical deployment workflows combining Excel with Power Query, Python, and Copilot. Are you ready to augment your capabilities as an AI-powered citizen data scientist?


01 - Introduction
  • 01 - Excel as an AI citizen data scientist
  • 02 - What you should know

  • 02 - 1. Equipping Yourself as a Citizen Data Scientist
  • 01 - What is a citizen data scientist
  • 02 - Introducing the workflows of an AI citizen data scientist

  • 03 - 2. AI Prompting Frameworks and Agentic Workflows
  • 01 - Agentic workflows and prompting frameworks
  • 02 - Deconstructing system prompts and guard rails
  • 03 - Introducing the CO-STAR framework
  • 04 - Utilizing the CO-STAR framework for data analysis
  • 05 - LLM live demo walkthrough

  • 04 - 3. Data Transformations with Power Query and Python
  • 01 - Data ingestion methods in Power Query
  • 02 - Data ingestion demonstration
  • 03 - Data transformations utilizing Power Query and Python
  • 04 - Data transformations in Power Query (formula-based)
  • 05 - Data transformations in Power Query (Python)

  • 05 - 4. Streamlining Exploratory Data Analysis Through Python and Excel NLP
  • 01 - Unpacking the Analyze Data pane
  • 02 - Streamlining EDA in Excel with Python

  • 06 - Conclusion
  • 01 - Next steps
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    تاریخ انتشار: ۱۴ دی ۱۴۰۴
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