DATASCIENCE-BLOCKCHAIN – Data Science and Blockchain Training (DataScience-BlockChain)

1. 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

2. 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 will be prepared for the coming wave of data
• Why most organizations are totally unprepared for blockchain data

3. 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

4. Examples of successful blockchain data science projects

• Use cases by vertical

– Finance

– Ecommerce

-Healthcare

– Fintech & SaaS

• Use cases by organizational type

– SMBs

-Enterprises

-Government

-NGOs

• Use cases by organizational department

-Business Intelligence

– Marketing

-Customer Experience Management

-Procurement & Fulfillment

5. 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