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Blockchain Analytics Fundamentals (Synchronous E-Learning)

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2023021425
S$900
Original: S$3,000
Save S$2,100

About This Course

At the end of the 3-day course, participants will be able to:
• Demonstrate a solid understanding of blockchain technology and how it works
• Understand the basics of Python programming language and apply it to blockchain analytics
• Utilise various analytics libraries on Python to extract, transform and analyse blockchain data
• Describe descriptive analytics and how it can be applied to different types of blockchain data, including transaction data, account data, and state data
• Use JavaScript Object Notation (JSON) Remote Procedure Call (RPC) Application Programming Interface (API) to extract and analyse blockchain data
• Analyse swaps and liquidity on AMMs, detect wash trading on NFT marketplaces, and analyse revenues and trends on P2E games using blockchain analytics techniques
• Utilise third-party tools such as SQL and visualization using Dune Analytics, querying data using The Graph protocol, and creating dashboards and projects using Flipside, to enhance their blockchain analytics capabilities
• Apply the learned techniques to real-world use cases in blockchain analytics

What You'll Learn

This course is designed to provide participants with the knowledge and skills necessary to effectively analyse blockchain data using Python and other third-party tools. The course will offer participants a refresher on Python and analytical tools, and the basics concepts of blockchain data. It will also go through 3 different use cases where we utilise different analytics techniques to analyse swaps and liquidity on Automated Market Makers (AMMs), detect wash trading on Non-Fungible Tokens (NFT) marketplaces, and analyse revenues and trends on Play-to-Earn (P2E) games. Through a combination on of theory and practical application, participants will develop the necessary skills to analyse blockchain data on their own.

Entry Requirements

Participants should preferably have basic experience in SQL and Python programming.

Course Details

Duration 22 hours
Language English
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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