SQL for Data Analytics Training
You want to master SQL for data analytics? This course will get you there. Learn essential SQL queries, data manipulation, and reporting techniques. Hands-on projects included.
Course Overview
So, you're looking to get into data analytics, right? Or maybe you're already in a role and need to seriously level up your SQL game. You've come to the right place. At COSS, whether you're joining us in Dilsukhnagar or Ameerpet, we don't just teach you SQL; we show you how to think like a data analyst using SQL. By the end of this course, you won't just know `SELECT * FROM table;` – you'll be writing complex queries, joining multiple tables, cleaning messy data, and creating reports that actually tell a story. We're talking real-world scenarios, not just theoretical stuff. You'll get hands-on with databases like MySQL 8.0 and PostgreSQL 16. We'll dive deep into functions, subqueries, CTEs, and even basic optimization. Why is this important? Because companies like Amazon Hyderabad and Wipro in Gachibowli are constantly looking for folks who can pull insights directly from their data. You'll work on 10+ practical projects, transforming raw data into actionable intelligence. Think you can just get by with basic Excel? Think again. A skilled SQL Data Analyst in Hyderabad can command an average starting salary of ₹4LPA to ₹7LPA. Our [TRAINER_NAME] will guide you through every step, making sure you grasp the tricky bits. We even offer weekend batches, perfect if you're working already. Ready to make data work for you?
What You Will Learn
- ✓ Master essential SQL for data analysis
- ✓ 10+ hands-on projects with real data
- ✓ Work with MySQL 8.0 and PostgreSQL 16
- ✓ Learn data manipulation, aggregation, and reporting
- ✓ Build a portfolio of analytical SQL queries
- ✓ Prepare for data analyst and BI roles
- ✓ Expert-led training at Dilsukhnagar & Ameerpet
Tools & Technologies
Syllabus
1SQL Fundamentals & Database Concepts+
- What is SQL? Relational Databases (RDBMS)
- Database Schemas, Tables, Columns, Rows
- Data Types and Constraints (PRIMARY KEY, FOREIGN KEY, NOT NULL)
- Installing MySQL/PostgreSQL & Basic Workbench Usage
- `SELECT`, `FROM`, `WHERE`, `ORDER BY` clauses
2Data Retrieval & Filtering+
- Comparison Operators (`=`, `>`, `<`, `LIKE`, `IN`, `BETWEEN`)
- Logical Operators (`AND`, `OR`, `NOT`)
- `NULL` Values and `IS NULL`/`IS NOT NULL`
- Limiting Results (`LIMIT`, `OFFSET`)
- Regular Expressions for pattern matching
3Data Manipulation Language (DML)+
- `INSERT` statements (single and multiple rows)
- `UPDATE` statements
- `DELETE` statements
- `TRUNCATE` vs. `DELETE`
- `CREATE TABLE`, `ALTER TABLE`, `DROP TABLE`
4Aggregation and Grouping+
- Aggregate Functions (`COUNT`, `SUM`, `AVG`, `MIN`, `MAX`)
- `GROUP BY` clause
- `HAVING` clause for filtering groups
- Multiple aggregations in a single query
- Case Statements (`CASE WHEN THEN END`)
5Joins & Relationships+
- Understanding different types of Joins (`INNER`, `LEFT`, `RIGHT`, `FULL OUTER`)
- Self-Joins
- Cross Joins
- Union, Union ALL, Intersect, Except
- Subqueries (Scalar, Row, Table)
6Advanced SQL Techniques for Analytics+
- Common Table Expressions (CTEs)
- Window Functions (`ROW_NUMBER`, `RANK`, `DENSE_RANK`, `LAG`, `LEAD`, `NTILE`)
- Pivot and Unpivot concepts
- Date and Time functions (`DATE_FORMAT`, `DATEDIFF`, `EXTRACT`)
- String functions (`CONCAT`, `SUBSTRING`, `LENGTH`, `REPLACE`)
7Data Cleaning & Reporting+
- Handling duplicate records
- Imputing missing values with SQL
- Creating basic views for reporting
- Exporting data to CSV/Excel
- Generating summary reports for business questions
8Real-World Projects & Interview Prep+
- Project 1: Sales Performance Analysis
- Project 2: Customer Segmentation Query
- Project 3: HR Data Insights
- Optimizing SQL queries for performance
- Interview common SQL questions and scenario walkthroughs
- Building a personal portfolio of SQL scripts