# Preparation / YouTube

### Before the first class you should ...

* register with Google and the Coursera platform to get corresponding accounts. Since we switched for the second run our video lecture sources (the Coursera part is optional - but still benefical for the interested) - please see the YouTube-Playlists from below.

Please enroll/attend/complete the following Coursera MOOCs during the semester:

{% embed url="<https://www.coursera.org/learn/practical-time-series-analysis>" %}
Enroll and complete this course in Coursera
{% endembed %}

{% embed url="<https://www.coursera.org/learn/time-series-survival-analysis>" %}
Enroll and complete this course in Coursera
{% endembed %}

{% embed url="<https://www.coursera.org/learn/tensorflow-sequences-time-series-and-prediction#modules>" %}
Enroll and complete this course in Coursera
{% endembed %}

For the winter-term 2023/24 we use YouTube playlists.

Check out the more detailed playlists in each week.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/preparation-youtube.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
