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 site: sandpaper::sandpaper_site
 ---
 
-This is a new lesson built with [The Carpentries Workbench][workbench]. 
-
+After following this two-day lesson, learners will be able to:
+* identify key open energy data sources suitable to answering energy research questions
+* read in tabular data from XML, JSON, and Parquet formats using `pandas`
+* request data stored in cloud buckets
+* request data from a variety of Application Programming Interfaces (APIs)
+* scrape data from webpages using `beautifulsoup`
+* visualize data to quickly understand patterns and anomalies
+* write Python classes and functions to break down complex cleaning tasks into reusable and discrete steps
+* write automated tests to ensure that their code works as expected
+* troubleshoot performance issues, and handle data that is too large to fit in memory
+* automatically detect unexpected values in inputs and outputs by writing data validation tests
+* transform a local codebase into a collaborative project using Github repositories, code documentation, and virtual environments.
 
 [workbench]: https://carpentries.github.io/sandpaper-docs