Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Iskren Georgiev's Credentials
- Iskren Georgiev's Wallet
- Data Management Portfolio Project
- Getting Started Off-Platform for Data Engineers
- Data Pipeline Portfolio Project
- Advanced Python for Data Engineers
- GitHub Portfolio Project
- SQL Fundamentals for Data Engineers
- Learn Git II: Git for Deployment
- Python Fundamentals for Data Engineers
- Track 2: Advanced Docker Skills
- Building Advanced Docker Skills
- Welcome to the Data Engineer Career Path
- CI/CD Best Practices: Applying Automated Testing
- Final Exam: Advanced Docker Practices
- Advanced Docker Skills: Performance Troubleshooting
- Advanced Docker Skills: Docker Performance Optimization
- Advanced Docker Skills: Debugging Docker Solutions
- Docker Skills: Advanced Docker Security
- Docker Skills: Advanced Docker Orchestration
- Advanced Docker Principles: Docker for Microservices Strategies
- Advanced Docker Skills: Advanced Docker Administration
- Final Exam: Advanced Docker Principles
- Track 1: Advanced Docker Principles
- Advanced Docker: Exploring Advanced Docker Principles & Practices
- Advanced Docker Principles: Multiple Docker Containers
- Docker Compose: Terminology & Installation
- Docker Compose: Using Docker Compose
- Advanced Docker: Working with Services & Applications on Multiple Containers
- Text Preprocessing
- Language Parsing
- Natural Language Processing: Getting Started with NLP
- Deep Learning and Neural Networks
- Getting Started with Natural Language Processing
- Machine Learning Portfolio Project
- Supervised Learning II: SVM's, Random Forests, Naive Bayes
- DevSecOps in Continuous Integration & Delivery (CI/CD)
- Unsupervised Learning Algorithms I
- Supervised Learning I : Regressors, Classifiers and Trees
- Machine Learning Fundamentals
- Math for Machine Learning
- Python Fundamentals Part III
- Python Pandas for Data Engineers
- Data Wrangling, Cleaning, and Tidying
- Data Science Foundations Portfolio Project
- Communicating Data Science Findings
- Data Wrangling, Cleaning, and Tidying
- Data Visualization Fundamentals with Python
- Portfolio Project: Data Visualization
- Statistics Fundamentals for Data Science
- Learn SQL
- Exploratory Data Analysis in Python
- Python Pandas for Data Science
- Python Fundamentals for Data Science (Part II)
- Python Fundamentals for Data Science (Part I)
- Principles of Data Literacy
- CGI Annual Tour F2025
- A4Q Testing Summit 2024 - Attendance Badge
- Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
- Python with Altair: An Introduction to Altair
- Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
- Python with Altair: Plotting Fundamental Graphs
- Python with Altair: Working with Specialized Graphs
- Welcome to the Data Scientist: Natural Language Processing Specialist Career Path
- Python Development: Working with If Statements, Loops, & Comprehensions
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Development: Performing Operations with Complex Data Types
- Python Development: Defining, Configuring, & Invoking Functions
- Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
- Python Development: Getting Started with Programming in Python
- Track 1: Introduction to Big Data with PySpark
- Introduction to Big Data with PySpark
- Introduction to Big Data with PySpark
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- CGI Annual Tour F2024: Scandinavia and Central Europe (retired October 2023)
- Clustering, Errors, & Validation
- Machine Learning Introduction
- Data Communication & Visualization
- Data Analysis Concepts
- Python - Using Pandas for Visualizations and Time-Series Data
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Software Testing Foundation 2018: Test Process Fundamentals
- Software Testing Foundation 2018: Fundamentals
- Testing Approaches
- Data Exploration
- Techniques & Tools
- Agile Methodologies
- Data Science Overview
- Data Filtering
- Data Gathering
- Data Transformation
- Estimates & Measures
- AWS Certified Machine Learning: Data Analysis Fundamentals
- AWS Certified Machine Learning: Jupyter Notebook & Python
- Computer Vision: AI & Computer Vision
- Iskren Georgiev's Transcript
- Iskren Georgiev's Wallet
- About Accredible