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Writing Functions and Stored Procedures in SQL Server

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

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4 Hours16 Videos57 Exercises15,126 Learners
4700 XP

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Course Description

Take your SQL Server programming to the next level. First, we demystify how to manipulate datetime data by performing temporal exploratory data analysis with the Washington DC BikeShare transactional dataset. Then, you’ll master how to create, update, and execute user-defined functions and stored procedures. You will learn the proper context for each modular programming tool and best practices. In the final chapter, you will apply all of your new skills to solve a real-world business case identifying the New York City yellow taxi utilization for each borough, and which pickup locations should be scheduled for each driver shift.

  1. 1

    Temporal EDA, Variables & Date Manipulation


    Learn how to do effective exploratory data analysis on temporal data, create scalar and table variables to store data, and learn how to execute date manipulation. This chapter will also cover the following SQL functions: DATEDIFF( ), DATENAME( ), DATEPART( ), CAST( ), CONVERT( ), GETDATE( ), and DATEADD( ).

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    Introduction to the course
    50 xp
    Transactions per day
    100 xp
    Seconds or no seconds?
    100 xp
    Which day of week is busiest?
    100 xp
    Find the outliers
    100 xp
    Variables for datetime data
    50 xp
    100 xp
    100 xp
    100 xp
    Date manipulation
    50 xp
    Parameters matter with DATEDIFF
    50 xp
    First day of month
    100 xp
  2. 2

    User Defined Functions

    This chapter will explain how to create, update, and execute user-defined functions (UDFs). You will learn about the various types of UDFs: scalar, inline, and multi-statement table-valued. You’ll also learn best practices.

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  3. 4

    NYC Taxi Ride Case Study

    Apply your new skills in temporal EDA, user-defined functions, and stored procedures to solve a business case problem. Analyze the New York City taxi ride dataset to identify average fare per distance, ride count, and total ride time for each borough on each day of the week. And which pickup locations within the borough should be scheduled for each driver shift?

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In the following tracks

Data AnalystSQL Server for Database Administrators


Chester IsmayAmy Peterson
Meghan Kwartler Headshot

Meghan Kwartler

IT Consultant

As an IT consultant, Meghan has helped business and technology leaders implement IT systems to improve business outcomes. Most often she works at the intersection of technology and senior business leaders helping both get the most value from their respective operation. Meghan has worked in various industries including manufacturing, marketing, and financial services. She holds a Management Information Systems degree from The Ohio State University. SQL is one of her favorite tools so she is grateful to share this knowledge with Datacamp students.
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Lloyds Banking Group

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Harvard Business School

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