RDF Domain A: Knowledge and Intellectual Abilities

Category A1: Knowledge base

Competency: Subject knowledge
Level Courses Videos
Phase 1 Academic Research Foundations: Quantitative Research & Development
Writing a Research Paper Research ethics
SPSS for Academic Research Researching the topic
  Researching trends
  Research the company
  Knowledge transfer
  Domain knowledge and experience
   
Phase 2/Phase 3 Learning Design Research Seven ways to increase self-discipline
Business Development Foundations: Researching Market and Customer Needs The four disciplines
Design Thinking: Understanding the Process Document discipline
Good to Great: Why Some Companies Make the  A culture of self-discipline
Executive Leadership  
   
Phase 4/Phase 5 Your L&D Organization as a Competitive Advantage Integrity tips
Strategic Planning Foundations Evaluating your integrity and expertise: The five trust factors
Creating a Culture of Strategy Execution Behaving with honesty: Acting and communicating with integrity
Strategic Thinking Signaling fairness and integrity
Influencing Others Influence and lead others
Leading without Formal Authority Measuring influencer marketing
Insights from Influencers and Business Leaders Building influence
  Using influence
  Influence without authority
  How to use influence to get what you need
  Intellectual humility
  Intellectual property
Competency: Research methods – theoretical knowledge
Level Courses Videos
Phase 1 UX Research: Lean Experimentation MVPs and experimentation techniques
UX Research Methods: Card Sorting Six questions you need to ask about research
Business Development Foundations: Researching Market and Customer Needs  
   
Phase 2/Phase 3 Learning Data Analytics Data collection
Data Visualization for Data Analysts Plan for data collection
Learning Excel: Data-Analysis Measure phase: Data collection planning
Excel Data Analysis: Forecasting Business leaders and data analytics
Learning Design Research Data analytics and algorithms
  Understanding data-analysis techniques
  Preparing the data for analysis
  Design research and data intelligence
  Design research is designing in context
  Design Research and Dealing with Ambiguity
  Evaluating the design research process
  Solution: Creating a design research plan
  Visualizing and documenting your research
   
Phase 4/Phase 5 Managing Temporary and Contract Employees How to reward user research participants
  A brief timeline of quantum research to date
  New paradigms for talent acquisition
Competency: Research methods – practical application
Level Courses Videos
Phase 1 UX Research for Agile Teams Choosing research method
  Challenge: Choose which research methods to use
  Qualitative vs. quantitative: When to use each research method
  Solution: Choose which research methods to use
  Explain your research results
  Crafting a research plan: The research logic model
  Visualizing and documenting your research
  Documentation: Simplify and share
   
Phase 2 Academic Research Foundations: Quantitative Explain your research results
UX Foundations: Research Visualizing and documenting your research
Statistics Foundations: 1 Documentation: Simplify and share
Statistics Foundations: 3 How to approach a research project
Statistics Foundations: 2 How to approach a research project
Everyday Statistics, with Eddie Davila How to develop a literature review
Excel: Statistical Process Control Research process overview
  Evaluating the design research process
  Primary vs. secondary research
   
Phase 3 Learning Design Research Challenge: Creating a design research plan
Design Thinking: Understanding the Process Choosing the right research tools
UX Foundations: Research Who's involved in a design thinking exercise?
Learning Design Thinking: Lead Change in Your Organization UX fields: Design, research, and strategy
Learning Data Analytics Business leaders and data analytics
Learning Excel: Data-Analysis Data analytics and algorithms
Business Analytics: Data Reduction Techniques Using Excel and R Applications for data analysis
Learning Document Retention and Data Management Introduction to data analysis
Learning Data Governance  
Data Science Foundations: Data Engineering  
   
Phase 4/Phase 5 Learning Excel: Data-Analysis Assumptions and hypotheses
Excel Statistics Essential Training: 1 Proving or disproving a business hypotheses
SPSS for Academic Research Assumptions and hypotheses
Learning Data Analytics How to test a hypothesis in four steps
Data Analytics for Business Professionals Best practices: Predictive analytics
Business Analytics: Prescriptive Analytics Date and time variables
Data Visualization for Data Analysts Analyzing and interpreting trend data
  Enable iterative calculations and use What-If Analysis tools
  Analytics and big data
Competency: Information seeking
Level Courses Videos
Phase 1 Informational Interviewing How to provide performance feedback
360-Degree Feedback Delivering employee feedback
  Evaluate your feedback style
  Discovering characteristics of effective feedback
  How to respond to critical feedback
   
Phase 2 Computer Science Principles: Digital Information Creating citations and a bibliography
  What is a citation?
  What is citation and why cite?
  Create citations and bibliographies
  Manage and modify citations
   
Phase 3/Phase 4/Phase 5 SEO: Keyword Strategy Business leaders and data analytics
Learning Document Retention and Data Management Data analytics and algorithms
Design Thinking: Data Intelligence Understanding data-analysis techniques
Data Visualization: Best Practices Preparing the data for analysis
Competency: Information literacy and management
Level Courses Videos
Phase 1 IT Service Desk: Customer Service Fundamentals Understanding data security
Learning Information Governance Data security considerations
Creating Your IT Strategy Adapting data flow security to changing business needs
Word 2016: Advanced Tips and Tricks Domains: Data security
Word 2019 Essential Training Understanding data security
Learning Information Governance  
Learning Data Governance  
Learning Document Retention and Data Management  
Understanding & Prioritizing Data Privacy  
   
Phase 2 Excel 2016: Data Validation in Depth Working with Constraints and Assertions in Data Sentinel Service
Excel 2013: Data Validation Driving action with your customers by leaning into Data Validation
Meta-analysis for Data Science and Business Analytics Data validation
Ethical Hacking: Enumeration Data validation
Ethical Hacking: Wireless Networks Data validation tools
  Configure data validation
  Data validation tools
   
Phase 3 Academic Research Foundations: Quantitative Data security considerations
Learning Design Research Adapting data flow security to changing business needs
Learning Document Retention and Data Management Domains: Data security
Learning Information Governance Understanding data security
Learning Data Governance  
Learning Document Retention and Data Management  
Understanding & Prioritizing Data Privacy  
   
Phase 4/Phase 5 Information Management: Document Security Write an information management policy
Understanding Information Architecture Information management policies and features
Information Literacy Setting information-management policies
Everyday Statistics, with Eddie Davila Analytics and big data
data Analytics for Business Professionals Introduction to data analysis
Instructional Design: Needs Analysis Data analysis
Learning Data Analytics Data analytics and algorithms
Learning Excel: Data-Analysis Understanding data-analysis techniques
Excel Data Analysis: Forecasting Preparing the data for analysis
  Introduction to data collection
  Verification of data collected
  Sampling in data collection
Competency: Languages

Level

Courses
Phase 1 SQL Essential Training
Learning C#
C: Data Structures, Pointers, and File Systems
Programming Foundations: Fundamentals
Technical Writing: Quick Start Guides
Code Clinic: Ruby
Code Clinic: PHP
 
Phase 2 How to Develop your Career Plan
Learning Python
Learning the JavaScript Language
C# Best Practices for Developers
Careers in Web Design and Development
 
Phase 3/Phase 4/Phase 5 Learning R
Public Speaking: Energize and Engage Your Audience
Introduction to Data Science
Advanced Java Programming
Competency: Academic literacy and numeracy
Level Courses Videos
Phase 1 SPSS for Academic Research Structuring an effective presentation
Academic Research Foundations: Quantitative Presentation styles and storytelling
SPSS Statistics Essential Training How to deliver an effective presentation
Public Speaking: Energize and Engage Your Audience Examples of good presentation design
Running a Design Business: Presentation Skills The rise of digital natives and new digital technologies
How to Present and Stay on Point Digital learning and development
Creating and Giving Business Presentations  
Master Confident Presentations  
Own Your Voice: Improve Presentations and Executive Presence  
Overcoming Your Fear of Public Speaking  
Learning Data Science: Manage Your Team  
Computer Science Principles: Digital Information  
Digital Transformation  
Digital Citizenship  
   
Phase2 Communication in the 21st Century Classroom Introduce digital literacy to your class
Data Fluency: Exploring and Describing Data Building digital literacy skills
Learning Digital Business Analysis Exploring ELA and Literacy standards
Digital Media Foundations ELA/Literacy
Charlene Li on Digital Leadership Interrogating ideas
Digital Citizenship Share your ideas
Getting Your Ideas Approved Sharing ideas prior to filing a patent
Creative Thinking Calculating statistical significance
Brad Feld on Validating Your Startup Idea Bureau of Labor Statistics
Statistics Foundations: 1 Exploratory statistics
Statistics Foundations: 2 Statistical modeling
R Statistics Essential Training Gather statistics from the system
Excel Statistics Essential Training: 1 Descriptive statistics
Everyday Statistics, with Eddie Davila  
SPSS Statistics Essential Training  
Advanced and Specialized Statistics with Stata  
   
Phase 3/Phase 4/Phase 5 Digital Media Foundations Create a social media plan
Marketing Tools: Digital Marketing The rise of digital natives and new digital technologies
Learn Social Media Monitoring Integrate social media and mobile
Programming Foundations: Discrete Mathematics The digital marketing landscape
  Understanding ethics in digital media