type: BadgeClass
id: https://api.badgr.io/public/badges/z-31azRfSl6sNh6dP0Owig
name: Data Analysis with Artificial Intelligence
image:
  id: https://badges.parchment.com/public/badges/z-31azRfSl6sNh6dP0Owig/image
image alt text: Data Analysis with Artificial Intelligence badge image
achievement type: Badge
description: Through a partnership with the Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University offers the Applied Neural Networks: Theory, Training, & Hands-On Applications micro-credential to individuals who participated in the academy program, completing the 8-10 hour training and displaying proficient skills in using AI-powered tools to perform data analysis tasks, including data preparation, visualization, interpretation, and insight generation across real-world datasets.
issuer: https://api.badgr.io/public/issuers/yOtRE461QKC-ZV7tv9Cy9w
alignment:
  target name: Data Preprocessing
  target url: https://talentneuron.com/
  target description: Data Preprocessing is the preparation of raw data for use in analysis, machine learning, or other computational tasks by cleaning, transforming, and organizing it.
  target framework: TALENT_NEURON
  target code: TN-55899
alignment:
  target name: Descriptive statistics
  target url: https://talentneuron.com/
  target framework: TALENT_NEURON
  target code: TN-46677
alignment:
  target name: Data Visualization
  target url: https://talentneuron.com/
  target framework: TALENT_NEURON
  target code: TN-48486
alignment:
  target name: Data storytelling
  target url: https://talentneuron.com/
  target framework: TALENT_NEURON
  target code: TN-46646
alignment:
  target name: Dashboard Design
  target url: https://talentneuron.com/
  target framework: TALENT_NEURON
  target code: TN-70978
criteria:
  narrative: **Learning Objectives:** • Understand the foundations of data analysis and its integration with AI • Evaluate and visualize data insights using AI-assisted tools • Use data to inform decisions across various professional settings • Apply AI tools to analyze and interpret structured datasets • Practice responsible and ethical use of AI in data-driven workflows **Earning Requirements** Participants will master these skills by the successful completion of the course, including the review of all module learning materials and completing the final capstone project. The capstone project requires participants to perform an end-to-end data analysis on a real-world dataset using AI tools, with a written report of findings and methodology.