About this Course
This comprehensive course guides students through the complete data analytics workflow using Python, combining programming fundamentals with advanced statistical analysis. The curriculum is structured across five interconnected modules that build upon each other, using real-world datasets to provide practical, hands-on experience. Starting with programming fundamentals, you'll learn essential Python concepts while working with real datasets like public library revenue and restaurant safety inspections. The course introduces the Jupyter Notebook environment and transitions students from spreadsheet-based analysis to powerful programmatic approaches. Students master core programming concepts including variables, functions, and control flow structures. This course helps you bridge the gap between theoretical knowledge and practical application, enabling you to become proficient in using Python for comprehensive data analysis, from basic data manipulation to advanced statistical modeling and forecasting
What You'll Learn
- Use a structured curriculum of five interconnected modules
- Practice data analysis with real-world datasets
- Learn fundamental Python programming concepts
- Master variables and functions
- Understand control flow structures
Prerequisites
- General understanding of Python programming helpful but not required
Instructors
Sean Barnes
Data Science Leader at Netflix