Course Details
The Data Science and Blockchain course is a 3-day course that is designed to teach students why blockchain is the future of data science. There are many decisions and issues that face the technical teams and data leadership, and this course will help students to effectively make those decisions both offensively and defensively.
Topics covered in the course include:
- How we got to now: the digital data transformation
- The Future of Data Science: the coming datapocalypse
- Why blockchain is the solution for data science
- Examples of successful blockchain data science projects
- How to get started with your first blockchain-based data science project
Target Student:
Technical Leaders, Data Scientist, and Analysts?
Prerequisites:
No prerequisites are required for this course.
Course Outline
How we got to now: the digital data transformation
- The origin of data-driven approaches in government, academia and business
- Progress in data factor markets
- Data connectivity
- Data storage
- Data processing
- Quantification of everything
- IoT
- Smart Cities
- Wearables
- A brave new world of perfect information
Where data science is headed: the coming datapocalypse
- The dependency of data science on the theory of variance
- Why data centralization will kill traditional data science
- Why most organizations are ill prepared for the coming wave of data
- Why most organizations are totally unprepared for blockchain data
Why blockchain is the solution for data science
- Blockchain as a data engineering solution
- Defined quantification
- Data completeness
- Data trustworthiness
- Blockchain as a data analytics solution
- Data access and preparation
- Data scope and data totality improvements
- New data science frameworks
Examples of successful blockchain data science projects
- Use cases by vertical
- Finance
- Ecommerce
- Healthcare
- Fintech and SaaS
- Use cases by organizational type
- SMBs
- Enterprises
- Government
- NGOs
- Use cases by organizational department
- Business Intelligence
- Marketing
- Customer Experience Management
- Procurement and Fulfillment
How to get started with your first blockchain-based data science project
- Offensive strategies for adopting blockchain into data science workflows
- Data maturity stage audit
- Prioritizing blockchain data science projects
- Build or buy blockchain data science solutions
- Defensive strategies for adopting blockchain into data science workflows
- Competitive intelligence and secondary research
- Macro metric correlations for blockchain data science models
- Game theory and “best response” actions
Please check the course description to find prerequisite information.
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Testimonials
This was the class I needed.
The instructor Jeff took his time and made sure we understood each topic before moving to the next. He answered all of our questions, and I don't know about the rest of the students, but was very pleased with this experience.
I finally understand how to use Excel.
-Amanda T (Yale New Haven Hospital).
Great class!
We were able to cover a lot of information in one day without getting overwhelmed.
-Maria R (Microsoft).
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