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Module 1: Introduction to Machine Learning
Module 2: Fundamentals of Statistics and Probability
Module 3: Data Preprocessing
Module 4: Supervised Machine Learning Algorithms
Module 5: Unsupervised Machine Learning Algorithms
Module 6: Model Evaluation and Validation
Module 7: Advanced Techniques and Optimization
Module 8: Model Implementation and Deployment
Module 9: Practical Projects
Module 10: Additional Resources
Foundations
JCL (Job Control Language)
OpenVMS
Fundamentals of Programming
Data Structures
Algorithms
DesignPatterns
Database Fundamentals
Networks
Operating Systems Fundamentals
Fundamentals of Information Security
Agile Methodologies
Project Management Theory
Systems Architectures
OWASP
REST API
Microservices
Service-Oriented Architecture (SOA)
Big Data
IaaS, PaaS, and SaaS
Pentesting
Basic DevOps
Risk Management
Cybersecurity
IT Infrastructure
Change Management
Project Management
Product Development
Technological Architecture
Data Analysis
Statistics
Data Visualization
Data Storytelling
Fundamentals of Digital Marketing
Customer Journey
Audience Segmentation
Digital Analytics
Content Strategies
Inbound Marketing
Social Media Platforms
User Engagement
Conversion Optimization
Conversion Funnels
Market Research
Reputation Management
Fundamentals of Business Analysis
Data Architectures
Distributed Architectures
Big Data Processing
Marketing Experimentation
Business Analytics
Machine Learning
Deep Learning
Fundamentals of Artificial Intelligence (AI)
Advanced Algorithms
Social Media Trends
Strategic Planning
Brand Architecture
Strategic Thinking
Corporate Communication
Budget Management
Positioning Strategies
Communication Strategy
Strategic Marketing
Keyword Research
Search Engine Optimization (SEO)
Growth Strategies
Retargeting
CRM
3D Mathematics
Video Game Physics
AI for Video Games