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Pitagon
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Category:
Data Science & Engineering
$450.00
Module 1: Introduction to Data Science
- What is Data Science? An Overview
- Roles and Responsibilities in Data Science
- Data Science Tools and Technologies
- Python for Data Science
- R for Data Science
- Data Collection Methods
- Introduction to Data Storage Solutions
- Data Ethics and Privacy
- Business Intelligence vs. Data Science
- Data Science Project Lifecycle
Module 4: Machine Learning Algorithms
- Introduction to Machine Learning
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Reinforcement Learning
- Ensemble Methods
- Evaluation Metrics for Machine Learning Models
- Hyperparameter Tuning and Optimization
- Model Deployment and Scaling
- Introduction to Deep Learning
- Natural Language Processing (NLP)
Module 5: Advanced Topics and Industry Applications
- Big Data Technologies in Data Science
- Real-time Data Processing
- Internet of Things (IoT) and Data Science
- Data Science in Healthcare
- Data Science in Finance
- Data Science in Marketing
- Data Science in Retail
- Data Science in Government and Public Sector
- Ethical Considerations in Data Science
- Future Trends in Data Science