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Mammoth Club All levels 5 sections 15 lectures

Python SQL Ethereum Data Science with Google BigQuery

Integrating Python, SQL, Ethereum Data, and Google BigQuery for Advanced Data Science

01
Skill level
All levels
02
Sections
5
03
Lectures
15
04
Instructor
Alex Kropf
What's inside

This course includes.

5
Sections
15
Lectures
16
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

5 sections · 15 lectures
+ Course Overview 1 lecture
Course overview Locked
+ Google Cloud Platform and BigQuery 3 lectures
01 What Are Google Cloud Platform And Bigquery.m4v Locked
02 Build A Project On Google Cloud Platform.m4v Locked
Source Files.zip Locked
+ Simple BigQuery Python SQL queries 3 lectures
01 Find Entries In Big Query Public Dataset Locked
02 Filter Entries By State Column Locked
Source files Locked
+ Simple BigQuery Ethereum queries 5 lectures
01 Query Tables In Crypto Ethereum Big Query Public Dataset Locked
02 Select Ethereum Traces By Date Locked
03 Get Total Ether Supply Each Day Locked
04 Select Transactions By Address And Timestamp Locked
Source files Locked
+ Calculate transaction ratios 3 lectures
01 Get Zero Transaction Ratio For Blockchain Locked
02 Get Zero Transaction Ratio For Smart Contracts Locked
Source files Locked
Description

About this course.

This course provides a comprehensive overview of leveraging Python and SQL in conjunction with Google BigQuery for Ethereum data analysis. This course equips participants with the essential skills to harness the power of Google Cloud Platform and BigQuery for efficient and effective data analysis.

The course begins with an overview, highlighting the importance and relevance of Ethereum data analysis in today's data-driven world. Participants will gain insights into the key concepts and methodologies covered throughout the course, setting the stage for their learning journey.

With a strong focus on Google Cloud Platform and BigQuery, participants will delve into the fundamentals of these powerful tools. They will learn how to set up and configure their environment to work seamlessly with BigQuery, enabling them to leverage its capabilities for handling large-scale Ethereum datasets.

The course progresses to cover the basics of executing simple BigQuery Python SQL queries. Participants will become proficient in constructing SQL queries using Python, allowing them to retrieve and manipulate data efficiently. They will also explore the Ethereum-specific queries, enabling them to extract valuable insights and metrics from Ethereum blockchain data.

One of the key highlights of the course is the ability to calculate transaction ratios. Participants will learn how to leverage Python SQL queries to calculate and analyze various transaction ratios, providing meaningful insights into the Ethereum network's behavior and performance.

By completing the "Python SQL Ethereum Data Science with Google BigQuery" course, participants will be equipped with the necessary knowledge and skills to perform advanced data analysis on Ethereum datasets using Python and SQL with Google BigQuery. This course presents a unique opportunity to master these powerful tools and unlock the full potential of Ethereum data science. Don't miss out on this transformative learning experience that will empower you to gain valuable insights from Ethereum data and make informed decisions. Enroll now and embark on your journey towards becoming a proficient Ethereum data scientist.

Instructors

Taught by people who ship.

Alex Kropf

Alex Kropf

Mammoth Club's CLO, public speaker, consultant, IT author and Senior Software Developer. Alex has produced best-selling courses, books and workshops for Mammoth Club, Course Pro and our clients since 2016.

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Integrating Python, SQL, Ethereum Data, and Google BigQuery for Advanced Data Science

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