Introduction to Data Science
Advanced Statistical Techniques
Machine Learning Essentials
Deep Learning and Neural Networks
Specialized Applications and Ethics
Introduction to Data Science
Data Science and Big Data Fundamentals
Data Exploration and Cleaning
Basic Statistical Methods
Introduction to Python for Data Science
Data Visualization Basics
Advanced Statistical Techniques
Probability Distributions and Statistical Inference
Hypothesis Testing and Experimental Design
Regression Analysis
Multivariate Statistical Methods
Time Series Analysis
Machine Learning Essentials
Supervised Learning: Regression and Classification
Unsupervised Learning: Clustering and Dimensionality Reduction
Decision Trees and Ensemble Methods
Evaluation Metrics for Machine Learning Models
Practical Machine Learning Applications
Deep Learning and Neural Networks
Neural Network Fundamentals
Convolutional Neural Networks for Image Processing
Recurrent Neural Networks for Sequential Data
Deep Learning Optimization Techniques
Projects in Deep Learning
Specialized Applications and Ethics
Text and Sentiment Analysis
Data Science in Healthcare and Finance
Ethical Implications in Data Science
Advanced Topics in Big Data
Final Capstone Project