A fundamental aspect of data analysis is knowing how to structure, purify and understand simple data sets. Start with an introduction to spreadsheet and master functions, pivot tables and basic charts. When comfortable with SQL, learn more advanced uses in Python or R. Practice using real data – learning about typical problems. Emphasize that one should make sure to ask clear questions and use the data to answer them; but don't learn all the features. Other resources on Datalance can also explain how businesses are using analytics within real world scenarios.
