AT&T SQL & Python Interview Questions

AT&T Data Interview Preparation

Practice 24 SQL and Python interview questions for AT&T. 12 SQL problems covering aggregation, basic-queries-filtering, cleaning-transform, date-time, joins, scenario-sql, subqueries-ctes, window-functions. 12 Python problems covering eda-statistics, feature-engineering, pandas-aggregation, pandas-basics, pandas-cleaning, pandas-datetime, pandas-filtering, pandas-merging, pandas-reshaping, pandas-scenario, pandas-window. Difficulty levels include 7 easy, 7 medium, 10 hard, and 0 expert problems. All problems are graded instantly in your browser with no setup required.

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