Department of Statistics
Add on Courses
Python is a high-level programming language widely used for various applications, such as web development, data science, artificial intelligence, and automation. A value-added course in Python programming can provide students with advanced skills and techniques for programming in Python and solving complex problems. This course is designed to provide students with advanced skills and techniques for programming in Python and solving complex problems in data science and artificial intelligence. The course will cover topics such as data manipulation, data visualization, statistical modeling, machine learning, and deep learning.
Upon completion of this course, students will be able to:
- Develop advanced programming skills in Python
- Manipulate and analyze data using Python libraries, such as Pandas and NumPy
- Create interactive data visualizations using Matplotlib, Seaborn, and Plotly
- Conduct statistical analysis and modeling using Python libraries, such as SciPy and Statsmodels
- Implement machine learning algorithms for classification and regression problems using Python libraries, such as Scikit-learn and XGBoost
- Implement deep learning models using Python libraries, such as Keras and TensorFlow