Hey hustlers, Very good morning, and I hope you're doing well.
Welcome Day 48 of the 𝗛𝘂𝘀𝘁𝗹𝗲𝗿𝘀𝗹𝗲𝗿𝘀 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝘀𝗽𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝘁𝗼 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 challenge.
Today we'll go through SQL complete syllabus for Data Analyst role and make sure you're going though it because we're covering all of these concepts thoroughly.
𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗦𝗤𝗟:
- Overview of SQL & its role in data management
- SQL syntax & structure
- Different types of SQL databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle)
- Setting up your environment: installing & configuring SQL databases
𝗦𝗤𝗟 𝗕𝗮𝘀𝗶𝗰𝘀:
- Creating databases & tables
- Inserting data into tables with INSERT statements
- Retrieving data using SELECT statements
- Filtering data with WHERE clauses
- Sorting data with ORDER BY clauses
- Updating & deleting data with UPDATE & DELETE statements
𝗗𝗮𝘁𝗮 𝗧𝘆𝗽𝗲𝘀 𝗮𝗻𝗱 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀:
- Common data types: INT, VARCHAR, DATE, BOOLEAN, etc
- String functions: CONCAT, SUBSTRING, LENGTH, TRIM
- Numeric functions: ABS, ROUND, CEIL, FLOOR
- Date and time functions: NOW, CURDATE, DATEADD, DATEDIFF
- Aggregate functions: COUNT, SUM, AVG, MAX, MIN
𝗝𝗼𝗶𝗻𝘀 & 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀:
- Inner Join
- Left Join
- Right Join
- Full Outer Join
- Cross Join
- Self Join
- Subqueries: Single-row, Multi-row & Correlated subqueries
𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀:
- Views: Creating, modifying & dropping views
- Indexes: Creating & using indexes to optimize queries
- Transactions: COMMIT, ROLLBACK & SAVEPOINT
- Stored Procedures: Creating, executing & modifying stored procedures
- Functions: Creating & using user-defined functions
- Triggers: Creating & managing triggers
Window Functions:
- Introduction to window functions
- Ranking functions: ROW_NUMBER, RANK, DENSE_RANK
- Aggregate functions with window specification
- Analytic functions: LAG, LEAD, FIRST_VALUE, LAST_VALUE
𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻:
- Query optimization & execution plans
- Index optimization & maintenance
- Partitioning tables
- Optimizing joins & subqueries
- Best practices for writing efficient SQL queries
I look forward to your responses.
Till then keep learning and keep exploring 🙌
Those who are new in this community this is challenge of becoming working Data Analyst that we have started and if you want to learn about this challenge then check all ping message for your reference.