English/中文
There is huge potential and value in on-chain data, and data analysis can be very helpful for project operations and investments. However, we also learned that it is difficult for many analysts to analyse on-chain data because it is complex and many products require writing SQL, which requires analysts to have a technical background.
With the course we would like to bring a comprehensive and professional data analysis repository to all the people. The future of knowledge is decentralised, open, and transparent. Using data to make your smart decision, be together and build an open and free web3 world. We want to help analysts to be able to analyse and utilize on-chain data at a lower threshold. So not only do we provide easy to use tools, but we also do a lot of business processing of the data so that analysts can understand the business in the chain rather than dealing with complex raw data. With over a thousand dashboard templates plus a drag-and-drop interface, anyone can build their own customised charts in minutes as our mission is to make data analysis accessible to more analysts, especially for data analysts and build applications without a technical background.
We believe that a continuing and high-quality output is the best way to strengthen the knowledge system. Meanwhile, studying through building a course together is a milestone in practicing the blockchain spirit. We will be together and build an open and free web3 world.
-
Understanding Web3 data
- 1.1 [Beginner] Data in Web3
- 1.2 [Beginner] Footprint Analytics
- 1.3 [Intermediate] How Footprint Analytics Helps Blockchain Researchers
- 1.4 [Intermediate] How Bingo NFT Helps Traders and Investors Analyze the Market
- 1.5 [Intermediate] Iceberg + Spark + Trino: a Modern Opensource Data Stack For Blockchain
- 1.6 [Advanced] Comparing Footprint and Dune Data Models
- 1.7 [Advanced] How Are the 3 Top Crypto Analytics Platforms Different?
- 1.10 [Advanced] Footprint Data Quality Management For Chain Data
- 1.11 [Intermediate] Chains
- 1.12 [Intermediate] How to reuse the saved chart result set
-
EVM Analysis
-
NFT Analysis
-
GameFi Analysis
-
DeFi Analysis
-
Wallet Analysis
-
Footprint for SQL
-
Footprint for Developer
- 8.1 [Beginner] Different API Use Cases For Web3 Developers
- 8.2 [Beginner] How to Choose a Data Provider For Your Web3 Project?
- 8.3 [Beginner] Build Blockchain Data Apps in Minutes with Footprint Analytics
- 8.4 [Beginner] Build Your Project with Footprint Analytics Data API
- 8.5 [Beginner] Embed NFT Data Into Any Website or Platform
- 8.6 [Beginner] Three Steps to Get Footprint's Data Api Key
- 8.7 [Intermediate] How to Get All Transfers of An NFT Collection
- 8.8 [Intermediate] How to Build Cross-Chain NFT Dapps
- 8.9 [Intermediate] How to Build a Steam-like Platform For Web3 Games Using Footprint Analytics
- 8.10 [Advanced] How to Create a Gamer Wallet Profile
-
Footprint Analytics for crypto investor
Your contributions are always welcome! Please take a look at the contribution guidelines first.
I will keep some pull requests open if I'm not sure whether those contents are awesome, you could vote for them by adding 👍 to them.
If you have any question about this opinionated list, do not hesitate to contact me @Footprint_Data on Twitter or open an issue on GitHub.