Blockchain Analytics Fundamentals
- Analytics & Tech
This module is conducted in-person.
3 Full Days (Weekdays)
Who Should Attend
- Business or data analysts who want to understand blockchain data and its application to various business use cases
- Blockchain developers who want to expand their skill set to include blockchain analytics techniques
- Entrepreneurs who want to explore the potential of blockchain data for their business
- Investors who want to analyse blockchain data for investment purposes
- Researchers who want to analyse blockchain data for academic purposes
- Anyone who wants to gain a deeper understanding of blockchain technology and its applications in data analysis
PREREQUISITES
Participants should preferably have basic experience in SQL and Python programming.
Overview
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 participants will 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 theory and practical application, participants will develop the necessary skills to analyse blockchain data on their own.
Learning Objectives
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 visualisation 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
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$981 (After SSG Funding 70%) |
$381 (After SSG Funding 70% |
$981 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$381 (After SSG Funding 70% |
$381 (After SSG Funding 70% |
$381 (After SSG Funding 70% |
|
International Participant |
$3,270 (No Funding) |
$3,270 (No Funding) |
$3,270 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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