References / Books

YES.....books.....you may heard about it....these things were used in former times ;-)

Last but not least - we would like to mention some very good book references. It is not required or requested to buy any of these books. If you are enrolled as a student at CAU, FH Kiel or another university you might have access to these books via the SpringerLink of your home institution. They cover the course material quite well and provide GitHub-Repositories for the codes which where used throughout the book. Unfortunately there is no 1:1-Coursera course matching these books perfectly - but we will do our best ;-)

https://link.springer.com/book/10.1007/978-1-4842-7150-6link.springer.com

https://github.com/Apress/advanced-forecasting-python

https://link.springer.com/book/10.1007/978-1-4842-8978-5link.springer.com

https://github.com/Apress/time-series-algorithm-recipes

https://link.springer.com/book/10.1007/978-1-4842-5992-4link.springer.com

https://github.com/Apress/hands-on-time-series-analylsis-python

Machine Learning for Time-Series with PythonPackt

https://github.com/PacktPublishing/Machine-Learning-for-Time-Series-with-Python

Modern Time Series Forecasting with PythonPackt

https://github.com/PacktPublishing/Modern-Time-Series-Forecasting-with-Python

Time Series Analysis with Python CookbookPackt

https://github.com/PacktPublishing/Time-Series-Analysis-with-Python-Cookbook

Time Series Forecasting using Deep LearningBPB Online

https://github.com/bpbpublications/Time-Series-Forecasting-using-Deep-Learning

https://link.springer.com/book/10.1007/978-3-031-13584-2link.springer.com

https://github.com/QuantLet/pyTSA/

Time Series Forecasting in PythonManning Publications

https://github.com/marcopeix/TimeSeriesForecastingInPython/tree/master

Some additional course material and MOOCs if you want you expand your knowledge at your own pace:

Practical Time Series AnalysisCoursera

This is a nice time series course with a focus on R/RStudio. It goes slightly deeper then our first course but lacks machine learning techniques. Nevertheless a very good ranked course and worth doing it - if you like to deepen your knowledge.

Forecasting: Principles and Practice (2nd ed)robjhyndman

This book is freely available and provides additional information. Focus on R/RStudio.