adding a reference to the crash course

Author: rcap107

doc/data_ops.rst

@@ -7,28 +7,11 @@ Skrub provides an easy way to build complex, flexible machine learning pipelines
 There are several needs that are not easily addressed with standard scikit-learn
 tools such as :class:`~sklearn.pipeline.Pipeline` and
 :class:`~sklearn.compose.ColumnTransformer`, and for which the Skrub DataOps offer
-a solution:
+a solution.
 
-- Multiple tables: We often have several tables of different shapes (for
-  example, "Customers", "Orders", and "Products" tables) that need to be
-  processed and assembled into a design matrix ``X``. The target ``y`` may also
-  be the result of some data processing. Standard scikit-learn estimators do not
-  support this, as they expect right away a single design matrix ``X`` and a
-  target array ``y``, with one row per observation.
-- DataFrame wrangling: Performing typical DataFrame operations such as
-  projections, joins, and aggregations should be possible and allow leveraging
-  the powerful and familiar APIs of `Pandas <https://pandas.pydata.org>`_ or
-  `Polars <https://docs.pola.rs/>`_.
-- Hyperparameter tuning: Choices of estimators, hyperparameters, and even
-  the pipeline architecture can be guided by validation scores. Specifying
-  ranges of possible values outside of the pipeline itself (as in
-  :class:`~sklearn.model_selection.GridSearchCV`) is difficult in complex
-  pipelines.
-- Iterative development: Building a pipeline step by step while inspecting
-  intermediate results allows for a short feedback loop and early discovery of
-  errors.
-
-In this section we cover all about the skrub Data Ops, from starting out with a
+A high-level overview of Data Ops is provided in :ref:`getting_started_with_data_ops`.
+More detail is available in the other pages in this section, where we cover all
+about the skrub Data Ops, from starting out with a
 simple example, to more advanced concepts like parameter tuning and and pipeline
 validation.
 

doc/getting_started_with_data_ops.rst

@@ -22,7 +22,7 @@
 .. |skb.cross_validate| replace:: :meth:`~skrub.DataOp.skb.cross_validate`
 .. |skb.full_report| replace:: :meth:`~skrub.DataOp.skb.full_report`
 
-Getting Started with Data Ops
+Data Ops crash course
 =============================
 
 What are Data Ops?