Goals

The goal of Algovera Academy is to onboard data scientists and machine learning engineers to web3 data science economy. After the successful completion of course, individuals will be competent using web3 tools to perform data science.

Logistics

• The Academy will take students on a rolling basis.
• Each cohort will have a group chat for questions and conversations.
• All content will be asynchronous.
• Content will take written and visual form.
• Interactive tasks should be incorporated where its deemed relevant.
• The front-end for Algovera Academy will be a fork of OpenMined Courses.

Curriculum Outline

1. Introduction to Algovera
   • Why Algovera is needed?
   • What is Algovera?
   • Vision
   • Mission
   • Values
2. Introduction to Data Science
   • Data Acquistuion
   • Data Processing
   • Modelling
   • Evaluation
   • Monetisation
3. Introduction to Web3
   • Fundamentals
   • Ethereum
   • Smart Contracts
   • DeFi
   • DAOs
4. Using Web3 tools
   • Wallets
   • Data Marketplaces
   • Decentralised Storage
5. Data Science in Web3
   • Ocean Marketplace
   • Compute-to-data
   • Data Unions
6. Data Science using Algovera’s tools
   • Algovera Squads
   • Algovera Library
   • Algovera Services - Freelance, Tournament, Hackathons
   • Algovera Grants