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Master of Science in Data Science and Analytics
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Course Outline
10 sections
1. Big Data Analytics
90 mins
9 topics
Introduction to Big Data Analytics
Data Collection and Preprocessing
Data Storage and Management
Data Mining and Machine Learning
Data Visualization
2. Introduction to Data Science
300 mins
30 topics
What is Data Science?
History of Data Science
Data Science Lifecycle
Data Types and Data Sources
Data Preprocessing
3. Natural Language Processing
300 mins
30 topics
Introduction to Natural Language Processing
Text Preprocessing in NLP
Language Models in NLP
Sentiment Analysis
Named Entity Recognition (NER)
4. Data Visualization and Interpretation
100 mins
10 topics
Introduction to Data Visualization
Data Visualization Tools
Choosing the Right Visualization
Design Principles in Data Visualization
Interactive Data Visualization
5. Statistical Analysis for Data Science
100 mins
10 topics
Introduction to Statistical Analysis
Data Visualization Techniques
Probability Distributions
Hypothesis Testing
Regression Analysis
6. Machine Learning Algorithms
80 mins
8 topics
Introduction to Machine Learning
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Reinforcement Learning
Model Evaluation and Selection
7. Deep Learning and Neural Networks
100 mins
10 topics
Introduction to Deep Learning
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Optimization Techniques in Deep Learning
8. Time Series Analysis
90 mins
9 topics
Introduction to Time Series Analysis
Time Series Components
Time Series Decomposition
Time Series Visualization
Time Series Forecasting
9. Data Mining and Pattern Recognition
80 mins
8 topics
Introduction to Data Mining
Data Preprocessing
Classification Algorithms
Clustering Techniques
Association Rule Mining
10. Capstone Project in Data Science
90 mins
9 topics
Introduction to Capstone Project in Data Science
Selecting a Capstone Project Topic
Data Collection and Preprocessing
Exploratory Data Analysis (EDA)
Machine Learning Modeling