Master of Science in Data Science and Analytics Active
Course Units 10
Big Data Analytics
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Case Studies in Big Data Analytics
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Data Collection and Preprocessing
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Data Mining and Machine Learning
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Data Storage and Management
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Data Visualization
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Ethical and Privacy Issues in Big Data Analytics
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Introduction to Big Data Analytics
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Real-time Analytics
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Sentiment Analysis and Text Mining
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Capstone Project In Data Science
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Data Collection and Preprocessing
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Data Visualization and Interpretation
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Exploratory Data Analysis (EDA)
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Feature Engineering and Selection
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Introduction to Capstone Project in Data Science
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Machine Learning Modeling
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Model Evaluation and Validation
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Project Documentation and Presentation
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Selecting a Capstone Project Topic
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Data Mining And Pattern Recognition
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Anomaly Detection
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Association Rule Mining
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Classification Algorithms
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Clustering Techniques
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Data Preprocessing
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Feature Selection and Dimensionality Reduction
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Introduction to Data Mining
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Pattern Recognition
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Data Visualization And Interpretation
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Choosing the Right Visualization
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Data Interpretation through Visualization
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Data Visualization Best Practices
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Data Visualization Tools
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Design Principles in Data Visualization
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Geographic Data Visualization
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Interactive Data Visualization
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Introduction to Data Visualization
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Real-world Applications of Data Visualization
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Storytelling with Data
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Deep Learning And Neural Networks
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Artificial Neural Networks (ANN)
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Case Studies in Deep Learning
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Convolutional Neural Networks (CNN)
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Ethical Considerations in Deep Learning
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Generative Adversarial Networks (GANs)
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Introduction to Deep Learning
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Optimization Techniques in Deep Learning
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Recurrent Neural Networks (RNN)
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Regularization and Dropout in Neural Networks
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Transfer Learning and Fine-Tuning
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Introduction To Data Science
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Big Data and Data Mining
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Big Data and Data Science
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Data Acquisition and Cleaning
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Data Analysis Techniques
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Data Collection and Cleaning
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Data Ethics and Privacy
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Data Preprocessing
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Data Science Applications
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Data Science Lifecycle
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Data Science Project Management
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Data Types and Data Sources
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Data Visualization
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Data Visualization
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Data Visualization
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Ethical Considerations in Data Science
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Ethics and Privacy in Data Science
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Exploratory Data Analysis (EDA)
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Exploratory Data Analysis (EDA)
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History of Data Science
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Introduction to Machine Learning
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Introduction to Python for Data Science
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Introduction to R for Data Science
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Machine Learning Basics
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Machine Learning Fundamentals
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Model Evaluation and Validation
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Model Evaluation and Validation
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Statistical Analysis for Data Science
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What is Data Science?
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What is Data Science?
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What is Data Science?
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