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 ;-)

Advanced Forecasting with PythonSpringerLink

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

Time Series Algorithms RecipesSpringerLink

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

Hands-on Time Series Analysis with PythonSpringerLink

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

Machine Learning for Time-Series with Python | PacktPackt

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

Modern Time Series Forecasting with Python | PacktPackt

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

Time Series Analysis with Python Cookbook | PacktPackt

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

Applied Time Series Analysis and Forecasting with PythonSpringerLink

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.