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Data Science & Block Chain Training

Live Online & Classroom Enterprise Training Course

Explore the profound potential of blockchain technology as the backbone of data science in this comprehensive course.Join us as we delve into the groundbreaking realm of blockchain and its pivotal role in shaping the future of data science

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Which is better Data Science or Block Chain?Know more details now

Course Overview

This course reviews why blockchain is the future of data science. There are many decisions and issues that face the technical team and data leadership, and this class will enable participants to effectively make those decisions both offensively and defensively

Block Chain Course Overview and Details

At the end of the training, participants will be able to:

  1. How we got to now: the digital data transformation
  2. Where data science is headed: the coming datapocalypse
  3. Why blockchain is the solution for data science
  4. Examples of successful blockchain data science projects
  5. How to get started with your first blockchain-based data science project

Pre-requisite

  1. No Prerequisites – An individual with prior knowledge or training in Data Analytics or Data Research will gain the most from this course.

Duration

3 days

Course Outline

  1. The origin of data-driven approaches in government, academia and business
  2. Progress in data factor markets
  3. Data connectivity
  4. Data storage
  5. Data processing
  6. Quantification of everything
  7. IoT
  8. Smart Cities
  9. Wearables
  10. A brave new world of perfect information
  1. The dependency of data science on the theory of variance
  2. Why data centralization will kill traditional data science
  3. Why most organizations are ill prepared for the coming wave of data
  4. Why most organizations are totally unprepared for blockchain data
  1. Blockchain as a data engineering solution
  2. Defined quantification
  3. Data completeness
  4. Data trustworthiness
  5. Blockchain as a data analytics solution
  6. Data access and preparation
  7. Data scope and data totality improvements
  8. New data science frameworks
  1. Use cases by vertical:
  2. Ecommerce
  3. Healthcare
  4. Fintech & SaaS
  5. Use cases by organizational type:
  6. SMBs
  7. Enterprises
  8. Government
  9. NGOs
  10. Use cases by organizational department:
  11. Business Intelligence
  12. Marketing
  13. Customer Experience Management
  14. Procurement & Fulfillment
  1. Offensive strategies for adopting blockchain into data science workflows :
  2. Data maturity stage audit
  3. Prioritizing blockchain data science projects
  4. Build or buy blockchain data science solutions
  5. Defensive strategies for adopting blockchain into data science workflows :
  6. Competitive intelligence and secondary research
  7. Macro metric correlations for blockchain data science models
  8. Game theory and “best response” actions

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