Foundations of Data Science

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This course is for those looking to get a foundational level overview of data science. This course provides a foundation of data science concepts, key terms, and additional knowledge and competencies needed to perform analysis. This course is ideal for managers, or those with a technical role who may or may not be data scientists but work with data.

What Will I Learn?

  • Introduction to key data science concepts and terms
  • The role of data science
  • Data Science vs. Data Engineering
  • Data science in the context of AI and ML
  • Regression, classification, & clustering
  • Core Skills for Data Scientists
  • Statistics & Probability
  • Data Science Tools
  • Data Visualization
  • Data science concepts
  • Where Data Scientists fit into the organization
  • Data Science Ethical Concerns

Who is this Training For?

  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager
  • Acquisitions Manager
  • Procurement & Contracting Officers
  • Computer Systems Programmer
  • Developer
  • Artificial Intelligence Research Associate
  • Data Scientist
  • AI / Machine Learning (ML) Engineer
  • AI Assurance Engineer
  • Test & Evaluation Engineer, System Engineer
  • Network Analyst
  • Data Analyst
  • Operations Research Analyst
  • Deployment Engineer
  • Knowledge Operations Manager
  • Network Infrastructure Engineer
  • Information Technician
  • Data engineer
  • Network operations
  • Information technician
  • Data technician

Supported Learning Paths

  • Cognilytica: AI Decision-Makers
  • DoD JAIC: Drive AI, Create AI, Embed AI
  • Edison DSF: Data Science Managers (DSP01 - DSP03), Data Science Professionals (DSP04 -DSP09), Data Engineering & Management Professionals (DSP10-DSP16), Data & User Support (DSP20-DSP22)

Learning Levels

  • DoD JAIC AI: BASIC (Foundation) Level
  • Edison DSF: Level 2-3
  • Category: Foundations of AI & Data Science