📝 Add the series of tutorials and trainings

docs/index.rst

@@ -23,8 +23,86 @@ This tutorial is not intended to be an introduction to Python or programming in
 general; for that there is the :doc:`python-basics:index` tutorial.  Instead, it
 is intended to show the Python data science stack – libraries such as
 :doc:`/workspace/ipython/index`, :doc:`/workspace/numpy/index`,
-:doc:`/workspace/pandas/index`, :doc:`pyviz:matplotlib/index` and related tools
-– so that you can subsequently effectively analyse and visualise your data.
+:doc:`/workspace/pandas/index`, and related tools – so that you can
+subsequently effectively analyse your data. We also offer the `Jupyter Tutorial
+<https://jupyter-tutorial.readthedocs.io/en/latest/index.html>`_ and the `PyViz
+Tutorial <https://pyviz-tutorial.readthedocs.io/de/latest/index.html>`_ as well
+as the instructions for `data visualisation
+<https://www.cusy.design/de/latest/viz/index.html>`_ from the `cusy Design
+System <https://www.cusy.design/de/latest/index.html>`_.
+
+All tutorials serve as seminar documents for our harmonised training courses:
+
++---------------+--------------------------------------------------------------+
+| Duration      | Topic                                                        |
++===============+==============================================================+
+| 3 days        | `Introduction to Python`_                                    |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Advanced Python`_                                           |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Design patterns in Python`_                                 |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Efficient testing with Python`_                             |
++---------------+--------------------------------------------------------------+
+| 1 day         | `Software documentation with Sphinx`_                        |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Technical writing`_                                         |
++---------------+--------------------------------------------------------------+
+| 3 days        | `Jupyter notebooks for efficient data science workflows`_    |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Numerical calculations with NumPy`_                         |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Analysing data with pandas`_                                |
++---------------+--------------------------------------------------------------+
+| 3 days        | `Read, write and provide data with Python`_                  |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Cleanse and validate data with Python`_                     |
++---------------+--------------------------------------------------------------+
+| 5 days        | `Visualising data with Python`_                              |
++---------------+--------------------------------------------------------------+
+| 1 days        | `Designing data visualisations`_                             |
++---------------+--------------------------------------------------------------+
+| 2 days        | `Create dashboards`_                                         |
++---------------+--------------------------------------------------------------+
+| 3 days        | `Versioned and reproducible storage of code and data`_       |
++---------------+--------------------------------------------------------------+
+| Subscription  | `News from Python for data science`_                         |
+| of 2 hours    |                                                              |
+| per quarter   |                                                              |
++---------------+--------------------------------------------------------------+
+
+.. _`Introduction to Python`:
+   https://cusy.io/en/our-training-courses/introduction-to-python
+.. _`Advanced Python`:
+   https://cusy.io/en/our-training-courses/advanced-python
+.. _`Design patterns in Python`:
+   https://cusy.io/en/our-training-courses/design-patterns-in-python
+.. _`Efficient testing with Python`:
+   https://cusy.io/en/our-training-courses/efficient-testing-with-python
+.. _`Software documentation with Sphinx`:
+   https://cusy.io/en/our-training-courses/software-documentation-with-sphinx
+.. _`Technical writing`:
+   https://cusy.io/en/our-training-courses/technical-writing
+.. _`Jupyter notebooks for efficient data science workflows`:
+   https://cusy.io/en/our-training-courses/jupyter-notebooks-for-efficient-data-science-workflows
+.. _`Numerical calculations with NumPy`:
+   https://cusy.io/en/our-training-courses/numerical-calculations-with-numpy
+.. _`Analysing data with pandas`:
+   https://cusy.io/en/our-training-courses/analysing-data-with-pandas
+.. _`Read, write and provide data with Python`:
+   https://cusy.io/en/our-training-courses/read-write-and-provide-data-with-python
+.. _`Cleanse and validate data with Python`:
+   https://cusy.io/en/our-training-courses/cleanse-and-validate-data-with-python
+.. _`Visualising data with Python`:
+   https://cusy.io/en/our-training-courses/visualising-data-with-python
+.. _`Designing data visualisations`:
+   https://cusy.io/en/our-training-courses/designing-data-visualisations
+.. _`Create dashboards`:
+   https://cusy.io/en/our-training-courses/create-dashboards
+.. _`Versioned and reproducible storage of code and data`:
+   https://cusy.io/en/our-training-courses/versioned-and-reproducible-storage-of-code-and-data
+.. _`News from Python for data science`:
+   https://cusy.io/en/our-training-courses/news-from-python-for-data-science
 
 .. toctree::
     :hidden: