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Learning Paths

Data Literacy Phase II - Data Curiosity

 

Faculty Path

Part One - Completed Through the Vista Program                                         

LinkedIn Learning Center                                                        

  1. Using Questions to Foster Critical Thinking and Curiosity
  2. Learning Data Science: Ask Great Questions
  3. Power BI: Dashboard for Beginners
  4. Data Curiosity Preview

Part Two - Continuation of Data Literacy Phase II Training

  1. Data Literacy (This phase includes ten short modules outline in LinkedIn Learning.)
    • Data Curiosity
    • Correlation and Causation
    • How to Use and Navigate Business Intelligence
    • Applied Exercise Using the 3 Dashboards and 1 Student Success Slice
    • Use of Azure Purview: Data Business Glossary
  2. Applied Exercise 
    • (See seperate instructions to be provided. This activity will be completed on your own.)
SEE THE PATH

 

Deans, Associate Deans and Faculty Path

Part One - Through the Vista Program                                     

LinkedIn Learning Center

  1. Using Questions to Foster Critical Thinking and Curiosity
  2. Learning Data Science: Ask Great Questions
  3. Power BI: Dashboard for Beginners
  4. Data Curiosity Preview

Part Two - Continuation of Data Literacy Phase II Training

  1. Data Literacy 
    • Data Curiosity
    • Correlation and Causation
    • How to Use and Navigate Business Intelligence
    • Applied Exercise Using the 3 Dashboards and 1 Student Success Slice
    • Use of Azure Purview: Data Business Glossary
  2. Applied Exercise Discussion Forum (Live/Face-to-Face)
    • Deans and Associates Deans 
      • Date:
        • Wednesday, September 28, 2022
        • Thursday, September 29, 2022
      • Time:
        • 3:30 pm - 4:30 pm 
      • Location:
        • CE-119 Lake Worth Campus
SEE THE PATH


Staff and Non-Academic Administration Path

LinkedIn Learning Center

  1. Using Questions to Foster Critical Thinking and Curiosity
  2. Learning Data Science: Ask Great Questions
  3. Power BI: Dashboard for Beginners
  4. Data Literacy 
    • Data Curiosity
    • Correlation and Causation
    • How to Use and Navigate Business Intelligence
    • Applied Exercise Using the 3 Dashboards and 1 Student Success Slice
    • Use of Azure Purview: Data Business Glossary
  5. Applied Exercise Discussion Forum (Live/Face-to-Face) 
    • Date, Time and Location:
      • December 8, 2022 - CE119
SEE THE PATH

 

 

Non-Supervisory Learning Path

Skill Enhancement and Employee Development (SEED): Non-Supervisory Learning Path

This incentive-based employee development training is designed for full-time, regular staff members (non-bargaining unit, non-supervisor). Each Employee must complete a total of 20 hours of training provided in this learning path, from any of the following four sections: 1. Core Employee Skills 2. Technology Literacy 3. Data Literacy 4. Electives.  To earn the stipend and badge you must complete all seven Data Literacy Section 3 courses. 

 

SEE THE PATH

 

 

Supervisory Learning Path

Skill Enhancement and Employee Development (SEED): Supervisor Learning Path

This incentive-based employee development training is designed for full-time, regular staff members (non-bargaining unit, non-supervisor). Each Supervisor/Manager must complete a total of 20 hours of training provided in this learning path, from any of the following four sections: 1. Core Employee Skills 2. Technology Literacy 3. Data Literacy 4. Electives.  To earn the stipend and badge you must complete all five Data Literacy Section 3 courses. 

 

SEE THE PATH

 

 

 

Faculty Learning Path

Data Literacy Learning Path for Faculty

This Faculty Development learning pathway is intended for full-time, part-time, and adjunct faculty. Each faculty member must complete a total of five hours of Data Literacy training from this pathway. To earn the Data Literacy badge, you must complete all seven modules in the Data Literacy Pathway. Completion and time spent in these courses is being recorded. Your badge will be issued. 

 

SEE THE PATH

 

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