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LinkedIn Learning

SQL for Data Professionals: Lunch Break Lessons

via LinkedIn Learning

Overview

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Get great tips on using SQL as a data professional. These quick lessons easily fit within your lunch break!

Syllabus

Introduction
  • Introduction to SQL weekly
  • What you need to know
1. SQL for Data Professionals: Lunch Break Lessons (Jul–Sep 2022)
  • SQL formatting styles
  • Compare SQLite to MySQL
  • SQL select distinct
  • SQL select where
  • SQL select having
  • SQL select group
  • SQL select order
  • SQL select having expressions
  • SQL select as
  • SQL select ORDER
  • SQL select LIMIT
  • SQL create RAND
2. SQL for Data Professionals: Lunch Break Lessons (Oct–Dec 2022)
  • More on RAND
  • VS code with SQL
  • SQL variables
  • Conditional IF statement in SQL
  • IFNULL and NULLIF
  • Conditional CASE statement in SQL
  • Conditional BETWEEN statement in SQL
  • GREATEST and LEAST in SQL
  • MAX and MIN in SQL
3. SQL for Data Professionals: Lunch Break Lessons (Jan–Mar 2023)
  • Regular expressions with SQL: LIKE
  • Regular expressions with SQL: Index
  • Regular expressions with SQL: REPLACE
  • SQL version
  • Use LIKE for string comparison
  • Use IN for string comparison
  • Use STRCMP for multiple string comparisons
  • Use SOUNDEX and SOUNDS LIKE for strings
  • Remove NULL with COALESCE
  • Use SUBSTRING to select string parts
  • Trim strings with TRIM and friends
  • SQL LENGTH returns string lengths
  • LOCATE a substring in a string
4. SQL for Data Professionals: Lunch Break Lessons (Apr–Jun 2023)
  • Concatenation with CONCAT and CONCAT_WS
  • Find strings in lists with ELT and FIELD
  • Convert IOT sensor data with EXPORT_SET and MAKE_SET
  • Use FORMAT to put commas and decimals in numbers
  • Convert decimals to hex, binary, or octal with HEX, BIN, and OCT
  • Use REVERSE to reverse the characters in a string
  • Use RPAD and LPAD to line up numbers
  • Use REPLACE to replace occurrences of a specified string
  • Round up and down with FLOOR, ROUND, TRUNCATE, and CEILING
  • Use SQL to create the average of a group of numbers
  • SQL JOIN
  • SQL LEFT JOIN
  • SQL INNER JOIN

Taught by

Mark Niemann-Ross

Reviews

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