UW Centre of Excellence

Python for Data Science

• Introduction to Python for Data Science
• Python programming basics and syntax
• Data types, variables, and operators in Python
• Control structures (if-else, loops) and functions in Python
• Python Libraries for Data Science:
• Introduction to NumPy and its array manipulation capabilities
• Data visualization with Matplotlib and Seaborn libraries
• Data Cleaning and Preprocessing
• Exploratory Data Analysis (EDA)
• Data Wrangling and Manipulation
• Introduction to Machine Learning
• Clustering algorithms (K-means, hierarchical clustering)
• Model Evaluation and Validation