Data Science and Blockchain


Course Number: BLC-110

Duration: 3 days (19.5 hours)

Format: Live, hands-on

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 offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

Objectives

  • 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

Prerequisites

No prior experience is presumed.

Outline

Expand All | Collapse All

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

Training Materials:

All Blockchain training students will receive comprehensive courseware.

Software Requirements:

Students must have a laptop and an Internet connection.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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