Using BigQuery to Explore and Analyze Data

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Using BigQuery to Explore and Analyze Data

In this hands-on lab, we'll use BigQuery—GCP's powerful data warehousing, analysis, and machine learning tool—to gain deeper insight into a dataset. We'll analyze the breadth and depth of the data and then look for patterns and surprising or interesting values.

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Lab Info

Level

Beginner

Last updated

Sep 25, 2025

Duration

45m

Challenge

Access BigQuery

Navigate to the Google Cloud Platform and access BigQuery.
Challenge

Add the Chicago Taxi Trips Dataset

Add the Chicago Taxi Trips Dataset to your BigQuery collections.
Challenge

Examine the Dataset Schema

Examine the dataset schema, and take note of important values such as the important columns and their types.
Challenge

Examine the Dataset Details

Examine the dataset details, including the number of rows contained in the table.
Challenge

Query the Data

Test running queries against the dataset.
Challenge

Count Rows where Fare Is Not Null

Count the number of rows where the fare is not null.
Challenge

Find Correlations between Fare and Other Columns

Find the Pearson coefficient between the fare and other numeric columns of interest.
Challenge

Find Average Fare

Find the average fare across a large subset of data.

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