Blockchain Analytics and Data Science Bootcamp
Blockchain Analytics and Data Science Bootcamp is a training program that teaches participants how to analyze and interpret blockchain data using data science tools and techniques. It covers topics such as blockchain technology, data visualization, and machine learning. This bootcamp is designed for those interested in a career in blockchain analytics and data science.
2 weeks no questions asked refund policy | Get hired – or your money back, guaranteed
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Overview
Roles and Salaries
Roles in Blockchain Analytics and Data Science:
Blockchain Data Scientist: A blockchain data scientist is responsible for using data science techniques to analyze and interpret blockchain data, identify trends and patterns, and develop predictive models. They may also be involved in building data pipelines and developing algorithms to analyze large datasets. The median salary for a blockchain data scientist is $120,000 per year.
Blockchain Data Analyst: A blockchain data analyst is responsible for collecting, organizing, and analyzing data from blockchain networks to support business decision-making. They may use tools such as SQL and Excel to perform data analysis, and create visualizations to communicate their findings. The median salary for a blockchain data analyst is $85,000 per year.
Blockchain Data Engineer: A blockchain data engineer is responsible for designing and building the infrastructure to store and process blockchain data. This includes developing data pipelines, implementing data storage solutions, and ensuring the integrity and security of the data. The median salary for a blockchain data engineer is $110,000 per year.
Salaries for Blockchain Analytics and Data Science roles:
| Role | Median Salary |
|---|---|
| Blockchain Data Scientist | $120,000 per year |
| Blockchain Data Analyst | $85,000 per year |
| Blockchain Data Engineer | $110,000 per year |
Curriculum
Week 1: Introduction to Blockchain Technology
- Overview of blockchain technology and its applications
- Introduction to cryptocurrency and bitcoin
- Distributed ledger technology and consensus mechanisms
- Smart contracts and blockchain platforms
Week 2: Data Science Fundamentals
- Introduction to data science and its applications in blockchain analysis
- Data visualization and exploration techniques
- Basics of programming in Python for data analysis
- Introduction to machine learning concepts and techniques
Week 3: Collecting and Cleaning Blockchain Data
- Overview of different types of blockchain data sources
- Techniques for collecting and organizing blockchain data
- Data cleaning and preprocessing techniques
Week 4: Analyzing and Interpreting Blockchain Data
- Advanced data analysis techniques for blockchain data
- Building predictive models using machine learning
- Visualizing and communicating data insights
- Case studies and hands-on projects using real-world blockchain data
Admission Policy and Process
You have to prove your seriousness in learning and then only you are admitted to our bootcamp. This makes our admission policy as unique as our Bootcamp.
Admission Policy
- Only programmers with at least a year of professional experience will be considered. You must be proficient in English.
- The coding test result you receive will be the most important component of your application.
- Past achievements. We want to see that you have the perseverance to work at something until you master it.
- It will be beneficial to have some prior knowledge of blockchain programming. Although prior knowledge is not required, our curriculum is fairly fast-paced, so having a head start will help you succeed and show us that you are committed to the subject.
Admission Process
- After you submit your application & schedule an interview call with one of our student admissions officers, You will receive an email with a link to a coding test. (dates are available within 3-7 days from the application date)
- You need to complete the coding test within 3 days.
- Send us an email if you need more time ([email protected])
- Your application will be rejected if your score falls short of a predetermined level. Because we need to compare your application to those of the other applicants for the upcoming cohorts, we can’t always make a decision right away.
- We limit cohorts to 10 students per month to ensure maximally effective learning outcomes. If you have a great application but didn’t quite make it in, we will offer to waitlist you for the upcoming month.
Frequently Asked Questions
15% Tutorials, 85% Coding. Group office hours will be held once a week & with a weekly one-on-one session.
All content will be delivered through video & text using our LMS.
Still have a question? Send us an email at [email protected]
