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Alejandro Amador Wood has completed

Intermediate SQL Queries

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4 hours
3,450 XP
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Course Description

The role of a data scientist is to turn raw data into actionable insights. Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. To be an effective data scientist, you must know how to wrangle and extract data from these databases using a language called SQL . This course teaches syntax in SQL shared by many types of databases, such as PostgreSQL, MySQL, SQL Server, and Oracle. This course teaches you everything you need to know to begin working with databases today!
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  1. 1

    Selecting columns

    Free

    This chapter provides a brief introduction to working with relational databases. You'll learn about their structure, how to talk about them using database lingo, and how to begin an analysis using simple SQL commands to select and summarize columns from database tables.

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    Welcome to the course!
    50 xp
    Onboarding | Tables
    50 xp
    Onboarding | Query Result
    50 xp
    Onboarding | Errors
    100 xp
    Onboarding | Multi-step Exercises
    100 xp
    Beginning your SQL journey
    50 xp
    SELECTing single columns
    100 xp
    SELECTing multiple columns
    100 xp
    SELECT DISTINCT
    100 xp
    Learning to COUNT
    50 xp
    Practice with COUNT
    100 xp
  2. 2

    Filtering rows

    This chapter builds on the first by teaching you how to filter tables for rows satisfying some criteria of interest. You'll learn how to use basic comparison operators, combine multiple criteria, match patterns in text, and much more.

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    Filtering results
    50 xp
    Simple filtering of numeric values
    100 xp
    Simple filtering of text
    100 xp
    WHERE AND
    100 xp
    WHERE AND OR
    50 xp
    WHERE AND OR (2)
    100 xp
    BETWEEN
    50 xp
    BETWEEN (2)
    100 xp
    WHERE IN
    100 xp
    Introduction to NULL and IS NULL
    50 xp
    NULL and IS NULL
    100 xp
    LIKE and NOT LIKE
    100 xp
  3. 3

    Aggregate Functions

    This chapter teaches you how to use aggregate functions to summarize data and gain useful insights. You'll also learn about arithmetic in SQL and how to use aliases to make your results more readable.

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    Aggregate functions
    100 xp
    Aggregate functions practice
    100 xp
    Combining aggregate functions with WHERE
    100 xp
    A note on arithmetic
    50 xp
    It's AS simple AS aliasing
    100 xp
    Even more aliasing
    100 xp
  4. 4

    Sorting and grouping

    This chapter provides a brief introduction to sorting and grouping your results.

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    ORDER BY
    50 xp
    Sorting single columns
    100 xp
    Sorting single columns (2)
    100 xp
    Sorting single columns (DESC)
    100 xp
    Sorting multiple columns
    100 xp
    GROUP BY
    50 xp
    GROUP BY practice
    100 xp
    GROUP BY practice (2)
    100 xp
    HAVING a great time
    50 xp
    All together now
    100 xp
    All together now (2)
    100 xp
    A taste of things to come
    100 xp
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collaborators

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Colin Ricardo
Collaborator's avatar
Filip Schouwenaars
Nick Carchedi HeadshotNick Carchedi

Product Manager at DataCamp

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