Essential SQL Topics for Data Analysts

SQL for Data Analysts Free Resources -> https://news.1rj.ru/str/sqlanalyst

- Basic Queries: SELECT, FROM, WHERE clauses.
- Sorting and Filtering: ORDER BY, GROUP BY, HAVING.
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Aggregation Functions: COUNT, SUM, AVG, MIN, MAX.
- Subqueries: Embedding queries within queries.
- Data Modification: INSERT, UPDATE, DELETE.
- Indexes: Optimizing query performance.
- Normalization: Ensuring efficient database design.
- Views: Creating virtual tables for simplified queries.
- Understanding Database Relationships: One-to-One, One-to-Many, Many-to-Many.

Window functions are also important for data analysts. They allow for advanced data analysis and manipulation within specified subsets of data. Commonly used window functions include:

- ROW_NUMBER(): Assigns a unique number to each row based on a specified order.
- RANK() and DENSE_RANK(): Rank data based on a specified order, handling ties differently.
- LAG() and LEAD(): Access data from preceding or following rows within a partition.
- SUM(), AVG(), MIN(), MAX(): Aggregations over a defined window of rows.

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Part-2: https://news.1rj.ru/str/sqlspecialist/525

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Part-19: https://news.1rj.ru/str/sqlspecialist/555

Part-20: https://news.1rj.ru/str/sqlspecialist/556

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After you've learned the basics of SQL (SELECT, FROM, WHERE), you can focus on...

- LEFT/INNER JOINs
- aggregate functions
- date & time functions
- CASE WHEN statements
- CTEs/subqueries/temp tables

and from there...

- triggers
- recursive CTEs
- window functions
- stored procedures
- query optimization

Learning SQL?
It doesn't have to be so hard!

Start with the Big 6...

1. SELECT
2. FROM
3. WHERE
4. GROUP BY
5. HAVING
6. ORDER BY

SQL Roadmap
https://www.linkedin.com/posts/sql-analysts_a-beginners-roadmap-for-learning-sql-activity-7217377637046878208-eodZ

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SQL Cheatsheet
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https://www.linkedin.com/posts/sql-analysts_sql-cheat-sheet-here-is-a-quick-cheat-activity-7218105684964327424-GGHs?utm_source=share&utm_medium=member_android

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Simple explanation of APPEND & MERGE two tables