Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Justin Millspaugh's Credentials
- Justin Millspaugh's Wallet
- Agile Best Practices for Tech Leaders: Agile Team Roles
- Agile Best Practices for Tech Leaders: People Leadership
- Agile Best Practices for Tech Leaders: User-centered Design & Agile
- Agile Best Practices for Tech Leaders: Organizational Agile
- Agile Best Practices for Tech Leaders: Agile Transition Roadmaps
- Agile Best Practices for Tech Leaders: Business Value
- Agile Best Practices for Tech Leaders: Agile Team Structures
- Final Exam: Agile for Decision-makers and Leaders
- Agile for Decision-makers and Leaders
- Track 1: Agile Best Practice for Tech Leaders
- Agile Best Practices for Tech Leaders: Scrum Events
- Agile Best Practices for Tech Leaders: Scrum Artifacts
- Agile Best Practices for Tech Leaders: Product Vision Definition
- Agile Best Practices for Tech Leaders: The Scrum Phases
- Agile Best Practices for Tech Leaders: Core Concepts
- Agile Best Practices for Tech Leaders: Agile Frameworks
- Agile Best Practices for Tech Leaders: The Scrum Framework
- Final Exam: InfoSec Leadership
- Track 2: InfoSec Leadership
- Information Security for Decision-Makers and Leaders
- InfoSec Crisis Management & Incident Response
- Information Security Practices: InfoSec Vendor Management
- Information Security Practices: Budgeting & Forecasting for InfoSec
- Information Security Practices: Multi-year InfoSec Planning
- Managing Enterprise InfoSec Risks & Risk Tolerance
- Proactive InfoSec Leadership
- Information Security for Leaders: An Introduction to InfoSec
- Information Security for Leaders: Elements of InfoSec
- Information Security for Leaders: Elements of an InfoSec Team
- Final Exam: Elements of InfoSec
- Track 1: Elements of InfoSec
- Data for Leaders and Decision-makers
- Emerging Data Trends: Unlocking Data Observability
- Emerging Data Trends: Converged & Composable Systems
- Emerging Data Trends: AI TRiSM Unleashed
- Final Exam: Emerging Data Trends
- Emerging Data Trends: Unveiling the Power of Practical Data Fabric
- Emerging Data Trends: Navigating the Latest Trends in Data for Leaders
- Modern Data Management: Data Management Systems
- Modern Data Management: Data Governance
- Modern Data Management: Data Quality Management
- Track 5: Data Governance and Management
- Final Exam: Data Governance and Management
- Data Lakes
- Azure Databricks & Data Pipelines
- Modern Data Warehouses
- Track 4: Emerging New Age Architectures
- Final Exam: Emerging New Age Architectures
- Cloud Data Platforms: Cloud Computing
- Cloud Data Platforms: Cloud-based Applications & Storage
- Cloud Data Platforms: AWS, Azure, & GCP Comparison
- Track 3: Raw Data to Insights
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Final Exam: Raw Data To Insights
- Data Mining and Decision Making: Predictive Analytics for Business Strategies
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Big Data Concepts: Getting to Know Big Data
- Big Data Concepts: Big Data Essentials
- Techniques for Big Data Analytics
- Spark for High-speed Big Data Analytics
- Non-relational Data: Non-relational Databases
- Track 1: Data Primer
- Track 2: Big Data Infrastructures
- Final Exam: Data Primer
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Final Exam: Big Data Infrastructures
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Traditional Data Architectures: Relational Databases
- Agile Best Practices for Tech Leaders: Organization Fundamentals
- Data Nuts & Bolts: Fundamentals of Data
- Track 4: Cloud Computing and MLOps in AI/ML
- AI and ML for Decision-makers
- Final Exam: AI and ML for Decision-makers
- Cloud Computing and MLOps: ML Pipelines
- Visualizing Data for Impact: Visual Design Theory
- Cloud Computing and MLOps: Introduction to MLOps
- Track 3: Visualizing Data for Impact
- Visualizing Data for Impact: Introduction to Data Visualization
- Visualizing Data for Impact: Data Storytelling
- Cloud Computing and MLOps: Cloud and AI
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Track 2: Developing an AI/ML Data Strategy
- Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
- Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI
- Developing an AI/ML Data Strategy: Data Management & Governance in AI
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Track 1: Fundamentals of AI and ML
- Fundamentals of AI & ML: Metrics & Evaluation
- Fundamentals of AI & ML: Advanced Data Science Methods
- Justin Millspaugh's Transcript
- Justin Millspaugh's Wallet
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