Site Map - skillsoft.digitalbadges-eu.skillsoft.com
- User Authentication
- Major Matala's Credentials
- Major Matala's Wallet
- Leadercamp on-demand: Launching the Project
- Preparing and Implementing a Business Plan
- Making the Case for Your Business Project
- Leadercamp on-demand: Business Acumen Series on Operations
- Generative AI Models: Generating Data Using Generative Adversarial Networks
- Using OpenAI APIs: Exploring APIs with the OpenAI Playground
- Using OpenAI APIs: Using Image & Audio APIs
- Using OpenAI APIs: Accessing OpenAI APIs from Python
- Generative AI Models: Generating Data Using Variational Autoencoders
- Final Exam: Generative AI Introduction and Overview
- Using OpenAI APIs: Fine-tuning Models, the Assistants API, & Embeddings
- Generative AI Introduction and Overview
- Track 1: Generative AI Overview
- Generative AI Models: Getting Started with Autoencoders
- Business Strategy: Managing Organizational Value
- Product Management: Building a Product Roadmap and Agile Product Management
- An Introduction to Generative AI
- Leadercamp on-demand: Business Acumen Series - Planning
- Leadercamp on-demand: Business Acumen Series on Strategy
- Leadercamp on-demand: Business Acumen Series on Finance
- Leadercamp on-demand: Business Acumen Series on People
- Data Transformation
- Data Integration
- Estimates & Measures
- Clustering, Errors, & Validation
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Gathering
- Analyzing Data Using Python: Data Analytics Using Pandas
- R Classification & Clustering
- Using BigML: Getting Hands-on with BigML
- Data Exploration using R
- R Regression Methods
- Analyzing Data Using Python: Filtering Data in Pandas
- Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
- VBA: Leveraging VBA to Work with Charts, Stocks, & MS Access
- Using BigML: An Introduction to Machine Learning & BigML
- Probability Distributions: Understanding Normal Distributions
- Statistical & Hypothesis Tests: Getting Started with Hypothesis Testing
- Using BigML: Building Supervised Learning Models
- Using BigML: Unsupervised Learning
- Core Statistical Concepts: Statistics & Sampling with Python
- Probability Distributions: Getting Started with Probability Distributions
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Probability Theory: Getting Started with Probability
- Probability Theory: Understanding Joint, Marginal, & Conditional Probability
- Probability Theory: Creating Bayesian Models
- Probability Distributions: Uniform, Binomial, & Poisson Distributions
- Statistical & Hypothesis Tests: Using the One-sample T-test
- Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests
- Statistical & Hypothesis Tests: Using Non-parametric Tests & ANOVA Analysis
- Complete Guide to Excel 365: Working With Charts & Sparklines
- Complete Guide to Excel 365: Getting Started
- Complete Guide to Excel 365: Using Formatting, Styles, & Themes
- Complete Guide to Excel 365: Linking, Printing, & Protecting Workbooks
- Final Exam: Business Analyst
- Complete Guide to Excel 365: What-If Analysis, Solver, & Analysis ToolPak
- Complete Guide to Excel 365: Pivot, PowerPivot, & Financial Modeling
- Python - Pandas Advanced Features
- VBA: Getting Started with VBA in Excel
- VBA: Building User Interfaces with Forms in VBA & Excel
- Complete Guide to Excel 365: Validating, Cleaning, & Performing Lookups on Data
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Big Data Concepts: Big Data Essentials
- Spark for High-speed Big Data Analytics
- Techniques for Big Data Analytics
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Organizational IT Trends, Analytics, and Application Development
- Generative AI and Its Impact to Everyday Business
- Navigating AI Ethical Challenges and Risks
- Python - Introduction to NumPy for Multi-dimensional Data
- Big Data Concepts: Getting to Know Big Data
- Major Matala's Transcript
- Major Matala's Wallet
- About Accredible