Data Analytics
Learn SQL from basic to advanced level in 30 days
Week 1: SQL Basics
Day 1: Introduction to SQL and Relational Databases
Overview of SQL Syntax
Setting up a Database (MySQL, PostgreSQL, or SQL Server)
Day 2: Data Types (Numeric, String, Date, etc.)
Writing Basic SQL Queries:
SELECT, FROM
Day 3: WHERE Clause for Filtering Data
Using Logical Operators:
AND, OR, NOT
Day 4: Sorting Data: ORDER BY
Limiting Results: LIMIT and OFFSET
Understanding DISTINCT
Day 5: Aggregate Functions:
COUNT, SUM, AVG, MIN, MAX
Day 6: Grouping Data: GROUP BY and HAVING
Combining Filters with Aggregations
Day 7: Review Week 1 Topics with Hands-On Practice
Solve SQL Exercises on platforms like HackerRank, LeetCode, or W3Schools
Week 2: Intermediate SQL
Day 8: SQL JOINS:
INNER JOIN, LEFT JOIN
Day 9: SQL JOINS Continued: RIGHT JOIN, FULL OUTER JOIN, SELF JOIN
Day 10: Working with NULL Values
Using Conditional Logic with CASE Statements
Day 11: Subqueries: Simple Subqueries (Single-row and Multi-row)
Correlated Subqueries
Day 12: String Functions:
CONCAT, SUBSTRING, LENGTH, REPLACE
Day 13: Date and Time Functions: NOW, CURDATE, DATEDIFF, DATEADD
Day 14: Combining Results: UNION, UNION ALL, INTERSECT, EXCEPT
Review Week 2 Topics and Practice
Week 3: Advanced SQL
Day 15: Common Table Expressions (CTEs)
WITH Clauses and Recursive Queries
Day 16: Window Functions:
ROW_NUMBER, RANK, DENSE_RANK, NTILE
Day 17: More Window Functions:
LEAD, LAG, FIRST_VALUE, LAST_VALUE
Day 18: Creating and Managing Views
Temporary Tables and Table Variables
Day 19: Transactions and ACID Properties
Working with Indexes for Query Optimization
Day 20: Error Handling in SQL
Writing Dynamic SQL Queries
Day 21: Review Week 3 Topics with Complex Query Practice
Solve Intermediate to Advanced SQL Challenges
Week 4: Database Management and Advanced Applications
Day 22: Database Design and Normalization:
1NF, 2NF, 3NF
Day 23: Constraints in SQL:
PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
Day 24: Creating and Managing Indexes
Understanding Query Execution Plans
Day 25: Backup and Restore Strategies in SQL
Role-Based Permissions
Day 26: Pivoting and Unpivoting Data
Working with JSON and XML in SQL
Day 27: Writing Stored Procedures and Functions
Automating Processes with Triggers
Day 28: Integrating SQL with Other Tools (e.g., Python, Power BI, Tableau)
SQL in Big Data: Introduction to NoSQL
Day 29: Query Performance Tuning:
Tips and Tricks to Optimize SQL Queries
Day 30: Final Review of All Topics
Attempt SQL Projects or Case Studies (e.g., analyzing sales data, building a reporting dashboard)
Since SQL is one of the most essential skill for data analysts, I have decided to teach each topic daily in this channel for free. Like this post if you want me to continue this SQL series 👍♥️
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
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