Data Analysis and Visualization with AI

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Knowing how to structure & display data, as well as use data to create a story are necessary skills when it comes to making sense of your data. This course will go over data analysis and visualization concepts and tools needed for Data analysis, management & visualization. This intermediate level course is appropriate for project managers, data scientists, or those in a more technical role.

What Will I Learn?

  • Overview of data analysis
  • Overview of data visualization
  • Data Visualization and AI
  • How to use data to visually tell a story
  • Tools for Visualizing Data
  • Tools for Data analysis
  • Tools for Data analysis
  • Methods to structure & display data

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 / Data Technician
  • Program manager
  • Project manager
  • Supply program manager
  • Designers
  • User support technicians
  • Data support personnel
  • Support staff
  • Maintainer
  • Intelligence analyst
  • Specialist
  • Legal Personnel

Supported Learning Paths

Cognilytica: CPMAI Certification DoD JAIC: Drive AI, Create AI, Embed AI, Facilitate AI, Employ 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

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