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- Data Science: An all-encompassing course covering data mining, machine learning, and data visualization techniques.
- Machine Learning: Focuses on the fundamentals and advanced concepts of machine learning algorithms and their applications.
- Python for Data Science: Teaches Python programming tailored specifically for data analysis and scientific computing.
- R Programming: Comprehensive instruction on using R for statistical analysis and data visualization.
- SQL for Data Analysis: Covers essential SQL skills for managing and querying large datasets effectively.
- Excel for Data Analysis: Enhances data manipulation and visualization skills using Microsoft Excel.
- Deep Learning: Delves into deep learning architectures and their implementation using popular frameworks.
- Statistics for Data Science: Provides a solid foundation in statistical methods crucial for data interpretation and decision-making.
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