Forwarded from Python for Data Analysts
๐ฐ ๐๐ฒ๐๐ ๐๐ฟ๐ฒ๐ฒ ๐ฆ๐ค๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐๐
Want to break into Data Analytics?๐ซ
It all starts with SQL โ the language every data analyst needs to master. Whether youโre analyzing trends, pulling business reports, or cleaning datasets, SQL is at the heart of it all๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/44oj5Ds
Perfect for students, freshers, job seekers, or anyone transitioning into techโ ๏ธ
Want to break into Data Analytics?๐ซ
It all starts with SQL โ the language every data analyst needs to master. Whether youโre analyzing trends, pulling business reports, or cleaning datasets, SQL is at the heart of it all๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/44oj5Ds
Perfect for students, freshers, job seekers, or anyone transitioning into techโ ๏ธ
โค1
SQL Roadmap: From Basics to Advanced
1. Basics
Learn SQL syntax: SELECT, WHERE, ORDER BY.
Understand data types (INT, VARCHAR, DATE).
Use operators (=, <>, >, <), logical operators (AND, OR, NOT), and comparison operators.
2. Filtering & Sorting
Filter data with WHERE clause.
Sort results using ORDER BY.
Use wildcards (LIKE, %).
3. Aggregations
Apply aggregation functions: COUNT, SUM, AVG, MAX, MIN.
Group data with GROUP BY, filter groups with HAVING.
4. Joins
Learn different joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN.
Understand when to use each join type.
5. Subqueries
Use subqueries in SELECT, WHERE, FROM clauses.
Differentiate between correlated and non-correlated subqueries.
6. Set Operations
Use UNION, INTERSECT, and EXCEPT to combine results.
7. Data Modification
Insert data with INSERT INTO.
Update data using UPDATE.
Delete data with DELETE.
8. Advanced Queries
Use CASE for conditional logic.
Learn window functions: ROW_NUMBER, RANK, DENSE_RANK.
Use CTEs (Common Table Expressions) for modular queries.
9. Indexes & Performance
Create and use indexes.
Optimize queries by avoiding SELECT *
10. Transactions
Use COMMIT, ROLLBACK, and SAVEPOINT.
Understand ACID properties.
11. Stored Procedures & Functions
Create and execute stored procedures.
Define and use functions for reusable logic.
12. Database Design
Learn normalization (1NF, 2NF, 3NF).
Understand primary/foreign keys and relationships.
I've curated essential SQL Interview Resources๐
https://t.me/DataSimplifier
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
1. Basics
Learn SQL syntax: SELECT, WHERE, ORDER BY.
Understand data types (INT, VARCHAR, DATE).
Use operators (=, <>, >, <), logical operators (AND, OR, NOT), and comparison operators.
2. Filtering & Sorting
Filter data with WHERE clause.
Sort results using ORDER BY.
Use wildcards (LIKE, %).
3. Aggregations
Apply aggregation functions: COUNT, SUM, AVG, MAX, MIN.
Group data with GROUP BY, filter groups with HAVING.
4. Joins
Learn different joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN.
Understand when to use each join type.
5. Subqueries
Use subqueries in SELECT, WHERE, FROM clauses.
Differentiate between correlated and non-correlated subqueries.
6. Set Operations
Use UNION, INTERSECT, and EXCEPT to combine results.
7. Data Modification
Insert data with INSERT INTO.
Update data using UPDATE.
Delete data with DELETE.
8. Advanced Queries
Use CASE for conditional logic.
Learn window functions: ROW_NUMBER, RANK, DENSE_RANK.
Use CTEs (Common Table Expressions) for modular queries.
9. Indexes & Performance
Create and use indexes.
Optimize queries by avoiding SELECT *
10. Transactions
Use COMMIT, ROLLBACK, and SAVEPOINT.
Understand ACID properties.
11. Stored Procedures & Functions
Create and execute stored procedures.
Define and use functions for reusable logic.
12. Database Design
Learn normalization (1NF, 2NF, 3NF).
Understand primary/foreign keys and relationships.
I've curated essential SQL Interview Resources๐
https://t.me/DataSimplifier
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
โค4
Forwarded from Python for Data Analysts
๐ง๐ผ๐ฝ ๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐๐ฎ๐ด๐ด๐น๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ถ๐๐ต ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐๐๐บ๐ฝ๐๐๐ฎ๐ฟ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ๐
Want to break into Data Science but not sure where to start?๐
These free Kaggle micro-courses are the perfect launchpad โ beginner-friendly, self-paced, and yes, they come with certifications!๐จโ๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4l164FN
No subscription. No hidden fees. Just pure learning from a trusted platformโ ๏ธ
Want to break into Data Science but not sure where to start?๐
These free Kaggle micro-courses are the perfect launchpad โ beginner-friendly, self-paced, and yes, they come with certifications!๐จโ๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4l164FN
No subscription. No hidden fees. Just pure learning from a trusted platformโ ๏ธ
Forwarded from Python for Data Analysts
๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ + ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐๐๐๐ฒ๐ป๐๐ถ๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ฒ๐๐๐บ๐ฒ๐
Ready to upgrade your career without spending a dime?โจ๏ธ
From Generative AI to Project Management, get trained by global tech leaders and earn certificates that carry real value on your resume and LinkedIn profile!๐ฒ๐
๐๐ข๐ง๐ค๐:-
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Designed to equip you with in-demand skills and industry-recognised certifications๐โ ๏ธ
Ready to upgrade your career without spending a dime?โจ๏ธ
From Generative AI to Project Management, get trained by global tech leaders and earn certificates that carry real value on your resume and LinkedIn profile!๐ฒ๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/469RCGK
Designed to equip you with in-demand skills and industry-recognised certifications๐โ ๏ธ