Data Science - Time Series Forecasting with Facebook Prophet in Python - Outline

This course is focused on practical coding with minimal theory, primarily using Python for time series analysis. It covers basic time series concepts, Profit library usage, and coding exercises. Students should be familiar with Python and Pandas, and have some understanding of machine learning. The course is designed to be accessible, with prerequisites serving as helpful tools rather than barriers.

What are the main topics covered in the first section of the course?

Why is it important to know Python for this course?

Describe the significance of understanding machine learning practices in relation to the course content.

What prerequisites are suggested for this course, and why are they not considered barriers to entry?

What approach should a student take if they encounter something they do not understand during the course?