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NCR Course Module 2

Class 4 Lesson Plan

Advanced Data Evaluation Methods with AI

(Recording)

Register for the class here

Lead Facilitator: Chloe
Co-Facilitators: Nedlar & BGem
Guest Lecturer: JeffGold
Date: March 20, 2024
Time: 10 AM AST (2 PM UTC)
Duration: 1 hour
Platform: Telegram

Target Audience: The course is crafted to cater to non-technical researchers embarking on their journey in the domain of web3 technologies. It assumes no prior technical background and aims to build a foundational understanding of advanced data analysis techniques in a web3 context.

Learning Objectives: The primary objective is to introduce participants to advanced data analysis techniques, focusing on leveraging AI for in depth data analysis.

Pre-Reading Material

Agenda

Time Topic Activity Resource
0-5 mins Introduction Briefing on course outline and objectives. NRC Course Syllabus
5-15 mins Power of AI for Research Overview of reading materials. Articles/Papers
15-40 mins Guest Lecture from jeffgold Hands-on session on using AI for complex data analysis. AI tools
40-50 mins Q&A Open floor for questions. Overview last weeks HW Homework and Assignment Thread on TG
50-55 mins Summary and Next Steps Summary of the session and introduction to next lesson. Next Class - 3: Research Topic Identification

Activities Details

  1. Power of Data Visualization for Analysis

    • This segment focuses on the transformative power of AI in analyzing complex datasets. Participants will be introduced to cutting-edge AI tools and methodologies that can significantly enhance the process of data evaluation and analysis. The session is designed to bridge the gap for non-technical researchers, providing them with the knowledge to harness AI for insightful data analysis within the web3 ecosystem.

  2. Guest Lecture: JeffGold

    • JeffGold will lead a hands-on tutorial on how to effectively use AI for in depth data analysis, within a blockchain/research context.

Homework

  • Test out ShillGPT on near. New accounts get a free request.
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