Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Gerald Thwala's Credentials
- Gerald Thwala's Wallet
- Deep Learning for NLP: Introduction
- Data Lakes
- Inferential Statistics
- Cloud Data Platforms: Cloud-based Applications & Storage
- Cloud Data Platforms: AWS, Azure, & GCP Comparison
- Cloud Data Platforms: Cloud Computing
- Track 3: Raw Data to Insights
- Final Exam: Raw Data To Insights
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Spark for High-speed Big Data Analytics
- Track 2: Big Data Infrastructures
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Final Exam: Big Data Infrastructures
- Data Mining and Decision Making: Predictive Analytics for Business Strategies
- Techniques for Big Data Analytics
- Big Data Concepts: Big Data Essentials
- Non-relational Data: Non-relational Databases
- Big Data Concepts: Getting to Know Big Data
- Track 1: Data Primer
- Final Exam: Data Primer
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Traditional Data Architectures: Relational Databases
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Data Nuts & Bolts: Fundamentals of Data
- Visualizing Data for Impact: Visual Design Theory
- Visualizing Data for Impact: Data Storytelling
- Cloud Computing and MLOps: Cloud and AI
- Cloud Computing and MLOps: Introduction to MLOps
- Cloud Computing and MLOps: ML Pipelines
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Track 3: Visualizing Data for Impact
- Apache Spark Getting Started
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Visualizing Data for Impact: Introduction to Data Visualization
- 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
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Data Engineering Getting Started
- Track 1: Fundamentals of AI and ML
- Fundamentals of AI & ML: Metrics & Evaluation
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Foundational Data Science Methods
- Fundamentals of AI & ML: Advanced Data Science Methods
- Analytics Literacy for Business Professionals
- Working with Analysts
- Basic Analytical Methods
- Data Literacy for Business Professionals
- Angular 11: Getting Started with Angular
- Gerald Thwala's Transcript
- Gerald Thwala's Wallet
- About Accredible