Intermediate SQL
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
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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!For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
- 1
Selecting Data
FreeIn 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.
- 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.
Filtering numbers50 xpFiltering results50 xpUsing WHERE with numbers100 xpUsing WHERE with text100 xpMultiple criteria50 xpUsing AND100 xpUsing OR100 xpUsing BETWEEN100 xpFiltering text50 xpLIKE and NOT LIKE100 xpWHERE IN100 xpCombining filtering and selecting100 xpNULL values50 xpWhat does NULL mean?50 xpPractice with NULLs100 xp - 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.
Summarizing data50 xpAggregate functions and data types100 xpPractice with aggregate functions100 xpSummarizing subsets50 xpCombining aggregate functions with WHERE100 xpUsing ROUND()100 xpROUND() with a negative parameter100 xpAliasing and arithmetic50 xpUsing arithmetic50 xpAliasing with functions100 xpRounding results100 xp - 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.
Sorting results50 xpSorting text50 xpSorting single fields100 xpSorting multiple fields100 xpGrouping data50 xpGROUP BY single fields100 xpGROUP BY multiple fields100 xpAnswering business questions50 xpFiltering grouped data50 xpFilter with HAVING100 xpHAVING and sorting100 xpAll together now100 xpCongratulations!50 xp
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
collaborators
prerequisites
Introduction to SQLJasmin Ludolf
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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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