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 |