Welcome to DSC 805: Linear Algebra and Python Programming, a key course in the Master's in Data Science program. This course is designed to provide you with a deep understanding of linear algebra concepts and their critical applications in data science. Linear algebra is the backbone of many data science techniques, including machine learning, optimization, and data reduction. Mastering these concepts is essential for you to become proficient in solving complex real-world problems.
- Lecturer: Group A
- Lecturer: Selina Ochukut
Course Duration in Hours: 45
Skill Level: Beginner
Course Objectives:
This course covers key data science skills using Python, including working with NumPy and Pandas, data cleaning, visualization, and handling time series data. Each module builds your expertise in practical data analysis.
- Lecturer: Selina Ochukut
Course Duration in Hours: 45
Skill Level: Beginner
Course Objectives:
Course Duration in Hours: 45
Skill Level: Beginner
Course Objectives: