I’m Matthew Renze, data science consultant,
author, and public speaker.
Welcome back to this introductory course on
data for data science.
In this module, we’ll learn about tabular
data and how we can extract information from
tables of data using queries.
How do we extract information from data?
What’s the best way to structure our data
to extract information?
And how do we answer our questions once our
data has been structured?
To answer these questions, we’re going to
learn about tabular data and how we extract
information from tables using queries.
First, we’ll learn about tabular data, data
that are stored in the rows and columns of a table.
Next, we’ll learn about observations, records
of observable phenomena, which are stored in the rows.
Then, we’ll learn about variables, values
that vary for each observation, which are
stored in the columns.
Next, we’ll learn about relationships that
can exist between observations in multiple tables.
Finally, we’ll learn about queries, statements
that allow a computer to answer a question
using a table of data.