Description
What You’ll Master:
Foundation Tier (Beginner):
• Data Literacy: Understanding data types and structures
• Basic Analysis: Descriptive statistics and data summarization
• Visualization Fundamentals: Charts, graphs, and clear presentation
• Tools: Excel, Google Sheets, basic Python (Pandas)
Applied Tier (Intermediate):
• Statistical Analysis: Hypothesis testing and regression
• Data Wrangling: Cleaning, transforming, and merging datasets
• Machine Learning Basics: Classification and prediction models
• Tools: Python (Pandas, NumPy, Scikit-learn), Jupyter
Expert Tier (Advanced):
• Advanced ML Models: Neural networks and ensemble methods
• Big Data Tools: Spark, Hadoop basics for large datasets
• Production Pipelines: Model deployment and monitoring
• Tools: Advanced Python/R, cloud ML platforms, Docker
Learning Journey By Duration:
• 2-Hour Intensive: Data analysis fundamentals + visualization
• 4-Hour Workshop: Statistical methods + ML implementation
• 6-Hour Comprehensive: Complete project + deployment pipeline
Prerequisites: Basic math understanding for Foundation tier.
Note: Course content is customized based on your selected duration and focus areas. We prioritize your specific learning goals while maintaining comprehensive skill development.
