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    • 🧑‍🏫Web3 Analytics 101: Async Course
    • 🧑‍🏫Web3 Analytics 101: Live Course
      • Segment 0 - Live Course
    • 📚Workshops
      • 2022-10-12 Open-Source Data Analytics via Dune Spellbook (Prerequisites)
      • 2022-04-21+ Interactive Data Visualization with Python
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      • Dos
        • 1. Do: Decide on the broad type of dashboard
        • 2. Do: Get clear on your audience(s)
        • 3. Do: Define and deliver on your purpose
        • 4. Do: Communicate your Big Idea
        • 5. Do: Establish a logical structure
        • 6. Do: Define key metrics
        • 7. Do: Maximize the signal-to-noise ratio
        • 8. Do: Use best practices for visuals
        • 9. Do: Ask for feedback
      • Don'ts
        • 10. Don’t: Disregard your audience’s knowledge
        • 11. Don’t: Go too technical in the methodology
        • 12. Don’t: Overwhelm with charts
        • 13. Don’t: Overwhelm with text
        • 14. Don’t: Submit without proofreading
      • Extras
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On this page
  • Overview
  • Format
  • Course Outline
  • ​Segment 0 - Start Here​
  • ​Segment 1 - The Blockchain Basics​
  • ​Segment 2 - Tooling and ​SQL Basics
  • ​Segment 3 - Building Blocks​
  • ​Segment 4 - Leveling Up​
  • ​Segment 5 - Dune​
  • ​Segment 6 - Career Development

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  1. Education

Web3 Analytics 101: Live Course

An open, weekly course that teaches students how to understand and analyze blockchain data using SQL

PreviousWeb3 Analytics 101: Async CourseNextSegment 0 - Live Course

Last updated 2 years ago

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Overview

This live course is designed for students who want to answer questions with data, provide context to protocol growth and change, and understand what is happening behind the scenes.

The goal of this live course is to take interested students and teach them the requisite knowledge to be a data analyst in web3. Our goal is that students emerge from the course with an intermediate level of knowledge. We define that as being able to confidently tackle challenges with tools such as Flipside, Dune, Footprint, Dapplooker, etc. While a "beginner" analyst may be limited to high-level overviews, an "intermediate" analyst is able to push beyond surface-level analysis, extracting insights from curiosity-directed exploration.

In short, a successful course will produce a cohort of talented analysts creating great content and actively competing in bounty programs. We will explore Ethereum data throughout this course as it has the most robust tooling and data available. Core concepts can be applied across a range of EVM-compatible chains and alternate blockchains.

Format

We will meet weekly from November to December 2022 for a live session. Sessions will be recorded. If you have been accepted, be sure to attend the first live session to let us know that you intend to take the rest of the live course! An overview of each segment is available below.

Each week will have accompanying assignments. These will reinforce concepts covered in each live session. The assessment may be a quiz or an analytical prompt that requires querying blockchain data and producing a dashboard or a report. Additionally, members of the course operations team will hold Office Hours weekly in our Discord Server to assist with questions related to the prior week's course. Finally, please actively use the #course-chat channel in MetricsDAO's Discord, under the Education section, to help each other out!

Course Outline

The following is intended to set expectations about the content of this course, while the content covered will go into more depth than what is listed.

​

We have compiled vetted resources that students can dive into, on their own time, to get up to speed with the main topics that this course covers: blockchains and crypto, data analysis using SQL, working in web3, etc. Yes, the content is the same as those used for the async course. It is because these fundamental topics remain valid regardless of the course format. See more on the nested page, Finally, find some MetricsDAO resources here:

  • ​​

  • ​​

​Segment 1 - The Blockchain Basics​

Establishing foundational knowledge

  • Money

  • Store of value

  • Bitcoin

  • Blockchain mechanics, distilled

  • What is Ethereum?

  • What is Web3?

​Segment 2 - Tooling and ​SQL Basics

  • What tools and data are out there?

    • Accessing curated datasets and using SQL to explore blockchain data

  • Why do this type of work?

    • The analytics ecosystem and work2earn

​Segment 3 - Building Blocks​

Expand technical abilities with live use cases.

  • Available data

    • Exploratory analysis and understanding what we're looking at

    • Observing trends with high-level aggregations

    • Comparing Ethereum transactions in data tables to block explorers

  • Domain knowledge - understanding your subject

  • Exploring data through visual representations

​Segment 4 - Leveling Up​

Introducing intermediate SQL techniques and diving into (more) raw transaction data.

  • SQL Aggregations - benefits and pitfalls

  • Data, uncurated

    • Moving beyond ez_ tables working with JSON message objects

​Segment 5 - Dune​

  • SQL syntax: Dune Engine V2 vs. V1

  • Column-oriented data

  • Using Dune abstractions

  • Cross-chain analysis

​Segment 6 - Career Development

  • how to get started.

  • how to get noticed.

  • how to progress in one’s career.

We will primarily use and . I suggest signing up for both websites (for free) and familiarizing yourself with them!

Expert session led by Dune Wizard .

In the closing session of the course,known industry experts who successfully created web3 careers give pointers on

​Segment 0 - Start Here
here.
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