# Online Course: \[L4-TS\] Introduction to Time Series Analysis

**URL:** <https://forum.knime.com/t/online-course-l4-ts-introduction-to-time-series-analysis/25327>\
**Category:** Events\
**Tags:** time-series\
**Created:** [July 17, 2020, 2:56pm UTC](https://forum.knime.com/t/online-course-l4-ts-introduction-to-time-series-analysis/25327 "2020-07-17T14:56:04Z")\
**Posts on this page:** 4\
**Page:** 2

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**Author:** ![Haystack](https://forum-cdn.knime.com/user_avatar/forum.knime.com/haystack/32/36583_2.png) [@Haystack](https://forum.knime.com/u/Haystack)\
**Post date:** [February 15, 2022, 4:33pm UTC](https://forum.knime.com/t/online-course-l4-ts-introduction-to-time-series-analysis/25327/21 "2022-02-15T16:33:41Z")

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Thank you, @Maarit!

I will look into the book as well.

Best,  
Haystack

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**Author:** ![rogerius1st](https://forum-cdn.knime.com/user_avatar/forum.knime.com/rogerius1st/32/38975_2.png) [@rogerius1st](https://forum.knime.com/u/rogerius1st)\
**Post date:** [August 6, 2023, 12:14am UTC](https://forum.knime.com/t/online-course-l4-ts-introduction-to-time-series-analysis/25327/22 "2023-08-06T00:14:21Z")

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Dear @Maarit, and Knime team, and all the time series users,  
I am facing an issue with my time series. I am comparing (or trying to compare) two kinds of data and got these three tables and the corresponding plots (after grouping by date, taking their moving average, and normalizing the data):

1. 

2. 

3. 

I need to discover if there is a real correlation between each pair of variables and then measure such correlation. These variables seem to be “non-stationary”, but I don’t know how to check it. Thereafter, I should quantify the relation between them (or eventual dependency) of the latter variable (the hospital expenditure) as a dependent variable relating to one or more of the three other independent variables (NrCases; NrHospitalizations; NrDeaths).  
I was told that I should try to apply one or more of the “ **co-integration tests** ”, such as Engle–Granger or Johansen. Or the Dickey-Fuller, if the series were stationary.  
Are there such nodes (or components) in Knime? Can someone help me with this task?  
Thank you all for any help.  
Wish you the best.  
Rogério.

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**Author:** ![Loknica07](https://forum-cdn.knime.com/letter_avatar_proxy/v4/letter/l/90db22/32.png) [@Loknica07](https://forum.knime.com/u/Loknica07)\
**Post date:** [November 2, 2023, 12:47pm UTC](https://forum.knime.com/t/online-course-l4-ts-introduction-to-time-series-analysis/25327/23 "2023-11-02T12:47:10Z")

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Dear KNIME Team, i have a question. In TSA Modell, i want to have the churn effekt. Is there some prediction model where is also churn % included? Which node would be good for this issue?

Thanks a lot.  
Regards,

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**Author:** ![CarlosEnrique84](https://forum-cdn.knime.com/user_avatar/forum.knime.com/carlosenrique84/32/68239_2.png) [@CarlosEnrique84](https://forum.knime.com/u/CarlosEnrique84)\
**Post date:** [May 21, 2024, 4:16pm UTC](https://forum.knime.com/t/online-course-l4-ts-introduction-to-time-series-analysis/25327/24 "2024-05-21T16:16:41Z")

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Hello everyone,

I created an environment in Anaconda following the instructions in the course pdf. Then I activated it to install Keras and Tensorflow; now, when I go to File\>Preferences\>KNIME\>Python Deep Learning, I receive the message:

Library oonx\_tf is not properly installed. Details: No module named ‘keras.src.engine’

How can I solve it? It seems to be a matter of version incompatibility of Keras and Tensorflow.

Thank you.

Carlos

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