diff --git a/docs/intro/learning.rst b/docs/intro/learning.rst
index a9eb4e0..3c02954 100644
--- a/docs/intro/learning.rst
+++ b/docs/intro/learning.rst
@@ -23,6 +23,14 @@ At last it finishes off with  tutorial "How to access MySQL db using python"
 
    `Python for beginners <http://thepythonguru.com/>`_
 
+Learn Python for Data Science Interactively
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you prefer an online interactive environment to learn Python for Data Science, `this free python tutorial by DataCamp <https://www.datacamp.com/courses/intro-to-python-for-data-science?tap_a=5644-dce66f&tap_s=116411-750171>`_ is a great way to get started. If you're already somewhat advanced and interested in machine learning, check out this `course on Supervised Learning with scikit-learn <https://www.datacamp.com/courses/supervised-learning-with-scikit-learn?tap_a=5644-dce66f&tap_s=116411-750171>`_, by one the core developers of scikit-learn.
+
+
+`Python for data science <http://datacamp.com/?tap_a=5644-dce66f&tap_s=116411-750171>`_
+
 Learn Python Interactive Tutorial
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
@@ -39,6 +47,8 @@ If you want a more traditional book, *Python For You and Me* is an excellent
 resource for learning all aspects of the language.
 
     `Python for You and Me <https://pymbook.readthedocs.io/>`_
+    `Learn Python Interactively with DataCamp! <https://datacamp.com/>`_
+
 
 Online Python Tutor
 ~~~~~~~~~~~~~~~~~~~
diff --git a/docs/scenarios/scrape.rst b/docs/scenarios/scrape.rst
index 90e5252..a7440f8 100644
--- a/docs/scenarios/scrape.rst
+++ b/docs/scenarios/scrape.rst
@@ -103,3 +103,5 @@ using Python or we can save it to a file and share it with the world.
 Some more cool ideas to think about are modifying this script to iterate
 through the rest of the pages of this example dataset, or rewriting this
 application to use threads for improved speed.
+
+If you want to learn how to import data using python - this `DataCamp course on Importing Data <https://www.datacamp.com/courses/importing-data-in-r-part-1?tap_a=5644-dce66f&tap_s=116411-750171>`_ is a great place to start.