Data Science and Blockchain

BLC-110 (3 Days)
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Blockchain Training Overview

This Data Science and Blockchain training course dives into why blockchain is the future of data science. Attendees learn how to make decisions (both offensively and defensively) about the issues that face the technical team and data leadership.

Location and Pricing

Accelebrate courses are taught as private, customized training for groups of 3 or more at your site. In addition, we offer live, private online training for teams who may be in multiple locations or wish to save on travel costs. To receive a customized proposal and price quote for private on-site or online training, please contact us.

Blockchain Training Objectives

All students will learn:

  • How we got to now: the digital data transformation
  • Where data science is headed: the coming datapocalypse
  • Why blockchain is the solution for data science
  • Examples of successful blockchain data science projects
  • How to get started with a blockchain-based data science project

Blockchain Training Outline

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Introduction
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 & SaaS
  • Use cases by organizational type
    • SMBs
    • Enterprises
    • Government
    • NGOs
  • Use cases by organizational department
    • Business Intelligence
    • Marketing
    • Customer Experience Management
    • Procurement & 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
Conclusion
Request Pricing for Data Science and Blockchain
Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

BLC-110

Duration:

3 Days

Prerequisites:

No prior experience is presumed.

Training Materials:

All Blockchain training students will receive comprehensive courseware.

Software Requirements:

Students must have a laptop and an internet connection.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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