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.
Who Should Attend?
An individual with prior knowledge or training in Data Analytics or Data Research will gain the most from this course.
- Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
- Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
- Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
- Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
- Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
- Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.
Agenda
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
- 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