Data Science - Time Series Forecasting with Facebook Prophet in Python

In this 2 hr course, you'll gain hands-on skills in time series forecasting using Facebook Prophet in Python. Learn core concepts behind Prophet, how to implement its API, and techniques for real-world applications such as forecasting stock prices.

What I will be able to do after this course

• Understand how to set up and prepare your data for Facebook Prophet.
• Learn to build and fit a time series model using the Prophet API.
• Create visualizations to analyze the in-sample fits and forecasts from your models.
• Apply advanced features like holiday effects and changepoints to improve your models.
• Evaluate forecast accuracy and learn strategies to handle common challenges like outliers.

Course Instructor(s)

The course is taught by Lazy Programmer, a seasoned data scientist and Python developer with extensive experience in machine learning and time series analysis. His warm teaching style integrates complex theory with practical coding exercises to ensure skill mastery.

Who is it for?

This course is designed for intermediate learners who are comfortable programming in Python and want to expand their skills into time series forecasting. Potential students might be data scientists, analysts, or developers aiming to integrate robust forecasting into their workflow. By the end, you'll feel confident in applying Prophet to your unique datasets.