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- User Authentication
- Gokulnathan Mani's Credentials
- Gokulnathan Mani's Wallet
- CGI Annual Tour F2025
- Planning AI Implementation
- Uncertainty
- Introducing Natural Language Processing
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Foundational Data Science Methods
- Fundamentals of AI & ML: Advanced Data Science Methods
- Fundamentals of AI & ML: Metrics & Evaluation
- Machine Learning & Data Analytics
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- CGI Annual Tour F2024: Asia Pacific Global Delivery Centers of Excellence (retired October 2023)
- Creating Data Visualizations in Tableau Desktop
- Working with Data & Fields in Tableau Desktop
- Blending & Managing Data Files in Tableau Desktop
- Preparing & Cleaning Data in Tableau Desktop
- Opening & Connecting Data Sources in Tableau Desktop
- Database Management
- Working with SQL PowerShell
- Policies & Jobs
- Variables
- Managing SQL Server
- Provisioning and Modules
- Infrastructure
- Configurations
- Introduction to Automation
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Functions in Python: Working with Advanced Features of Python Functions
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Data Visualization: Best Practices for Creating Visuals
- Getting Started with Python: Introduction
- Using Data to Find Data: Correction & Categorization
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Using Data to Find Data: Data Discovery & Exploration
- Data Science Statistics: Applied Inferential Statistics
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Common Approaches to Sampling Data
- Inferential Statistics
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Linear Regression Models: Introduction
- Simple Descriptive Statistics
- Math for Data Science & Machine Learning
- Power BI Desktop Bootcamp: Session 1 Replay
- Agile Software Development - Scrum
- Management
- Agile Software Development Methodologies
- DevOps Agile Development: DevOps Methodologies for Developers
- Introduction to Agile Software Development
- DevOps Mindset: DevOps Principles & Implementation Approach
- The Language of DevOps: DevOps Principles & Practices
- Big Data Interpretation
- Exploring Data Visualization
- Data Science Overview
- Harnessing the Power of Data Science for Business Growth
- Gokulnathan Mani's Transcript
- Gokulnathan Mani's Wallet
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