Python for Data Science: From Arrays to Analysis

Master the essential Python libraries for data science: NumPy, pandas, matplotlib, and seaborn. Learn to manipulate, analyze, and visualize data effectively, building a solid foundation for machine learning.

Learning Objectives

• Master NumPy for efficient numerical computing
• Use pandas for data manipulation and analysis
• Create compelling visualizations with matplotlib and seaborn
• Perform exploratory data analysis (EDA) workflows
• Understand statistical foundations for data science
• Work with various data formats (CSV, JSON, APIs)
• Complete an end-to-end data analysis project

Course Content