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Data-Driven Decision Making in SQL
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  • Data-Driven Decision Making in SQL

    Here you can access every table used in the course. To access each table, you will need to specify the movies schema in your queries (e.g., movies.movies for the movies table, and movies.customers for the customers table).

    Take Notes

    Add notes about the concepts you've learned and SQL cells with queries you want to keep.

    import numpy as np # linear algebra
    import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
    from sklearn.preprocessing import LabelEncoder
    from sklearn.model_selection import train_test_split
    from sklearn.linear_model import LogisticRegression
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.metrics import classification_report
    from sklearn.preprocessing import StandardScaler
    import matplotlib.pyplot as plt
    import seaborn as sns
    import warnings
    warnings.filterwarnings('ignore', category=FutureWarning)

    Add your notes here

    Unknown integration
    DataFrameavailable as
    -- Add your own queries here
    SELECT *
    FROM movies.actors
    LIMIT 5
    This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.