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 is the primary focus of this course?

• Mathematical theory

• Statistical modeling

• Historical analysis

• Coding and practical application

Which concept is NOT covered in the basic time series section?

• Understanding what a time series is

• Deep learning techniques

• Evaluating a forecast

• Fitting a time series model

What is the main focus of the Profit library section?

• Mathematical derivations

• Syntax and practical application

• Historical data analysis

• Theoretical background

Which skill is essential for this course?

• Advanced calculus

• Python coding

• Database management

• Java programming

What is a beneficial but not mandatory prerequisite for the course?

• Experience with machine learning

• Knowledge of JavaScript

• Understanding of network security

• Familiarity with cloud computing