Python for Data Science (and Version Control with GitHub)

Master Python programming for data analysis in this comprehensive course designed for aspiring data scientists. Through hands-on projects using real-world datasets, you'll learn essential data manipulation, visualization, and statistical analysis techniques while integrating modern AI tools and version control practices. This course is perfect for analysts and professionals who want to advance beyond spreadsheets to powerful programming solutions. Starting with Python fundamentals and progressing through advanced analysis techniques, you'll develop practical skills that directly apply to real-world data challenges. Upon completion, you'll be able to: • Import, clean, and manipulate data using Python's powerful libraries (Pandas, NumPy) • Create compelling visualizations with Matplotlib, Seaborn, and Plotly • Perform statistical analysis and A/B testing for data-driven decisions • Automate data workflows and generate professional reports • Implement version control best practices using GitHub