AI Data Analytics & Business Intelligence Specialist Certification Framework

AI Data Analytics & Business Intelligence Specialist Certification Framework

An overview of the competencies, tools, curriculum, and pathways for aspiring AI Data Analytics & Business Intelligence Specialists.

🎯Learning Outcomes & AI Competencies

Learners who complete this certification will:

  • Master Data Mining & Warehousing: Understand methods for extracting, storing, and managing large datasets.
  • Apply Statistical Analysis with AI Augmentation: Use statistical methods combined with machine learning algorithms to identify trends, patterns, and insights.
  • Leverage BI Platforms: Expertly utilize Power BI, Tableau, and AutoML features for data visualization and AI-enhanced analytics.
  • Execute AI-Assisted Queries: Efficiently perform data queries using SQL integrated with AI-driven tools.
  • Develop Predictive Dashboards: Build dynamic, interactive dashboards that incorporate predictive analytics for decision-making support.
  • Utilize GPT-Based Analytics Tools: Employ GPT-powered analytics assistants to automate report generation and data summarization.
  • Adopt Ethical Data Practices: Identify and address biases in data analysis, ensuring responsible and equitable use of AI tools.

🛠️Tools, Platforms & Software Mastery

Students will achieve proficiency in:

  • BI Platforms: Power BI, Tableau, Google Looker
  • AutoML Tools: Google AutoML, Azure AutoML
  • Query Languages: SQL, enhanced by AI query assistants
  • GPT-Based Analytics Assistants: ChatGPT for summarizing insights and automating reporting
  • Data Warehousing: Microsoft Azure Data Warehouse, Amazon Redshift
  • Programming & Analytics Tools: Python (Pandas, NumPy, Scikit-learn), Excel with advanced analytics add-ins

📚Course Structure & Instructional Sequence

Module 1: Data Analytics Foundations

Data collection, warehousing, and management fundamentals.

Module 2: AI-Augmented Statistical Analysis

Statistical methods with machine learning integration, trend detection, hypothesis testing.

Module 3: BI Platform Mastery

Advanced usage of Power BI and Tableau, leveraging embedded AI features.

Module 4: AI-Driven Database Querying

Enhanced SQL techniques, AI-assisted data retrieval and manipulation.

Module 5: Predictive Analytics Dashboards

Designing and building dashboards using predictive analytics and machine learning outputs.

Module 6: Capstone – AI Analytics Project

Practical project integrating all learned tools and methods, with a final presentation and ethical AI review.

📝Performance Assessments, Micro-Credentials & Capstone Projects

Data Analytics Challenges:

Real-world dataset analysis to identify actionable insights.

Micro-Credentials:

  • "Data Warehousing Specialist"
  • "AI Analytics Technician"
  • "BI Visualization Expert"

Capstone Project Examples:

  • AI-powered sales forecasting dashboard for retail businesses.
  • Predictive tourism analytics platform to forecast visitor trends.

🔗Crosswalk to Florida CTE Courses & Certifications

CTE Course Alignment: Complements existing courses in Business Administration, IT, and Data Science pathways.

Industry Certification Alignment:
  • Microsoft Certified: Data Analyst Associate
  • Tableau Desktop Specialist
  • Google Data Analytics Professional Certificate

🧑‍🎓Target Learner Levels

  • High School: Grades 11-12 within CTE IT and Business clusters, providing foundational and specialized training.
  • Adult Technical Centers: Professional upskilling programs for adults transitioning careers or enhancing skills.
  • State Colleges: Included as College Credit Certificate within associate degrees in Business Analytics, Data Science, or Information Systems.

🧱Stackability & Articulation Pathways

  • High School to College Credit: Articulates directly into associate degrees (Business Analytics, IT Data Science).
  • College Credentials: Stackable into broader CCC programs, leading to an A.S. degree.
  • Higher Education Transferability: Credits transferable toward a B.A.S. in Supervision and Management or B.S. in Data Analytics.

🤝Industry Partnerships & Alignment

  • Employer Advisory Board: Includes local businesses, data-driven industries (finance, tourism, healthcare), and technology companies.
  • Collaborations: Partnerships with Power BI, Tableau, Google Analytics, and AI-driven companies for software and project collaboration.
  • Community-Integrated Projects: Participation in SmartTown.ai civic data dashboards, enhancing community decision-making through AI analytics.
  • Internships and Experiential Learning: Structured internships with local analytics-focused employers and data-driven organizations.
  • Industry-Driven Competitions: Employer-sponsored hackathons and analytics challenges, fostering practical skill application and innovation.

AI Data Analytics & Business Intelligence Specialist Certification Framework Overview.