Consider that what is taught about data (analysis) doesn't match up the reality

	Expectations	Reality
What does the data look like?	Static dataset/table/CSV that represents observations or an experiment	Constantly changing (new records, changing schema) with dozens (if not hundreds) of datasets to work with that represent business operations	YY
How is it stored?	Stored in a CSV	Stored as objects (tables/views) in a database
What languages and tools used to analyze it?	Analyzed with R, Pandas, SPSS	Languages: SQL Tools: git, the command line, dbt, Airflow, VSCode, etc etc.
What do analysts do?	Deliver “insights”	So much! Version control, testing, modeling, requirements gathering, getting buy-in