Python SQL Ethereum Data Science with Google BigQuery
Integrating Python, SQL, Ethereum Data, and Google BigQuery for Advanced Data Science
This course includes.
Curriculum & lectures.
+ Course Overview 1 lecture
+ Google Cloud Platform and BigQuery 3 lectures
+ Simple BigQuery Python SQL queries 3 lectures
+ Simple BigQuery Ethereum queries 5 lectures
+ Calculate transaction ratios 3 lectures
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.
Taught by people who ship.
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