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Grzegorz Gąsiewski avatar

Grzegorz Gąsiewski has completed

Intermediate SQL

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4 hours
3,950 XP
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Course Description

SQL is widely recognized as the most popular language for turning raw data stored in a database into actionable insights. This course uses a films database to teach how to navigate and extract insights from the data using SQL.

Discover Filtering with SQL

You'll discover techniques for filtering and comparing data, enabling you to extract specific information to gain insights and answer questions about the data.

Get Acquainted with Aggregation

Next, you'll get a taste of aggregate functions, essential for summarizing data effectively and gaining valuable insights from large datasets. You'll also combine this with sorting and grouping data, adding another layer of meaning to your insights and analysis.

Write Clean Queries

Finally, you'll be shown some tips and best practices for presenting your data and queries neatly. Throughout the course, you'll have hands-on practice queries to solidify your understanding of the concepts. By the end of the course, you'll have everything you need to know to analyze data using your own SQL code today!
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  1. 1

    Selecting Data

    Free

    In this first chapter, you’ll learn how to query a films database and select the data needed to answer questions about the movies and actors. You'll also understand how SQL code is executed and formatted.

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    Querying a database
    50 xp
    Learning to COUNT()
    50 xp
    Practice with COUNT()
    100 xp
    SELECT DISTINCT
    100 xp
    Query execution
    50 xp
    Order of execution
    100 xp
    Debugging errors
    100 xp
    SQL style
    50 xp
    SQL best practices
    100 xp
    Formatting
    100 xp
    Non-standard fields
    50 xp
  2. 2

    Filtering Records

    Learn about how you can filter numerical and textual data with SQL. Filtering is an important use for this language. You’ll learn how to use new keywords and operators to help you narrow down your query to get results that meet your desired criteria and gain a better understanding of NULL values and how to handle them.

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  3. 3

    Aggregate Functions

    SQL allows you to zoom in and out to better understand an entire dataset, its subsets, and its individual records. You'll learn to summarize data using aggregate functions and perform basic arithmetic calculations inside queries to gain insights into what makes a successful film.

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  4. 4

    Sorting and Grouping

    This final chapter teaches you how to sort and group data. These skills will take your analyses to a new level by helping you uncover critical business insights and identify trends and performance. You'll get hands-on experience to determine which films performed the best and how movie durations and budgets changed over time.

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For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In other tracks

Data ScientistSQL Fundamentals

datasets

Films CSVPeople CSVReviews CSVRoles CSV

collaborators

Collaborator's avatar
Amy Peterson
Collaborator's avatar
James Chapman
Collaborator's avatar
Izzy Weber

prerequisites

Introduction to SQL
Jasmin Ludolf HeadshotJasmin Ludolf

Data Science Content Developer, DataCamp

Jasmin is a Content Developer at DataCamp. After ten years as a global marketing manager in the music industry, she recently changed careers to follow her curiosity for data. Her passion is value exchange and making data science accessible to all.
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