$297.00 USD

 

Applied Time Series Forecasting in Python

The ultimate course to master time series forecasting in Python

By the end of this course, you will be able to tackle any forecasting problem with confidence and have a portfolio of 16 forecasting projects!

In this 13 hour course, you will:

  • Define time series data
  • Learn when forecasting not applicable (random walk model)
  • Forecast with the SARIMAX family of models (model seasonal data and add exogenous variables)
  • Forecast with exponential smoothing
  • Perform multivariate forecasting
  • Learn to deal with multiple seasonal periods (using BATS and TBATS)
  • Forecast using decomposition (Theta model)
  • Develop a framework to apply deep learning models like DNNs, LSTMs, and CNNs
  • Work with the automated forecasting library Prophet
  • Apply state-of-the-art forecasting models:
    • N-BEATS
    • N-HiTS
    • PatchTST
    • TimesNet
    • TimeGPT
    • and more to come in future updates
  • Predict sparse time series
  • Learn to use machine learning (XGBoost, LightGBM, etc.) to efficiently forecast time series
  • Apply deep learning at scale and learn to work with large datasets, run efficient hyperparameter optimization and generate prediction intervals with deep learning models

Starter notebooks are available to follow easily along and all solutions are provided on GitHub!

What People Are Saying:

⭐⭐⭐⭐⭐ - What is great about this course is that it builds up slowly, explaining very clearly the basic concepts and then it keeps adding complexity - this makes it very easy to learn! I also appreciate the fact that it also teaches theory through practice - explaining it as it goes.

Luca M.

⭐⭐⭐⭐⭐ - As a professional data scientist, I was looking for a way to learn time series because I need it in my job. I had very limited knowledge on this subject. With this course, I learned everything I needed and it helped me a lot to succeed in my project. Marco is a great teacher! Thank you! I recommend it to everyone who want to learn about time series!

Khalid A.

⭐⭐⭐⭐⭐ - This course, is really what I searched for. A intermediate course for time series. Its a good way to start a course with a review of the basics, because afterwards everyone is on the recommended/needed level. I would do an other course from this instructor immediately. Nice job!

Luis K.

⭐⭐⭐⭐⭐ - This course goes straightforward to what you need to do to get things done! Pretty hard to find it out there.

Filippe S.

⭐⭐⭐⭐⭐ - This course is excellent on the overview of Time Series Analysis. Even though I'm new to Python, the projects are also reasonably easy to follow. Thank You

Tan W.

⭐⭐⭐⭐⭐ - I am almost done and I really enjoyed this course. The teacher is clear, he explains the subject in a way that is it really easy to follow and understand. I highly recommend this course.

Raphaelle G.