Proleed’s SQL Training Course opens the door to success by mastering database querying, manipulation and optimization.
Average Salary of Data Scientist
Future of Data Science Career
What is a Database?
Relational vs Non-Relational Databases
What is SQL and Why MySQL?
Overview of MySQL Architecture (Client, Server, Storage Engine)
Installing and Setting Up MySQL (Workbench & CLI)
MySQL Command-Line Basics (mysql -u root -p)
Creating and Dropping Databases (CREATE DATABASE, DROP DATABASE)
Understanding Tables, Rows, Columns, and Data Types
Using MySQL Workbench for Query Execution
MySQL vs Other RDBMS (SQL Server, PostgreSQL, Oracle)
CREATE TABLE, ALTER TABLE, DROP TABLE
MySQL Data Types — Numeric, String, Date/Time, JSON
Keys and Constraints (Primary Key, Foreign Key, Unique, Default, Check, Not Null)
AUTO_INCREMENT Columns
MySQL Storage Engines (InnoDB vs MyISAM)
Renaming Tables and Columns
Database Normalization (1NF, 2NF, 3NF, BCNF)
Designing Relationships: One-to-One, One-to-Many, Many-to-Many
Referential Integrity in MySQL
Schema Design Best Practices
INSERT INTO, UPDATE, DELETE
Truncate vs Delete in MySQL
Inserting Multiple Rows
Conditional Updates using WHERE
Using Transactions in MySQL (START TRANSACTION, COMMIT, ROLLBACK)
MySQL Savepoints
Using DEFAULT Values
Handling Foreign Key Constraints on Deletion
Common Data Errors & Troubleshooting
Practical Data Editing in MySQL Workbench
SELECT Statement Fundamentals
Filtering with WHERE, AND, OR, NOT
Using Operators: BETWEEN, IN, LIKE, IS NULL
Sorting Data with ORDER BY
Limiting Results with LIMIT
Aliases (AS) for Columns and Tables
String Functions (CONCAT, LENGTH, UPPER, SUBSTRING)
Date & Time Functions (NOW, DATEDIFF, DATE_FORMAT)
Conditional Expressions (CASE WHEN THEN END)
MySQL Query Optimization Basics
INNER JOIN
LEFT JOIN / RIGHT JOIN
FULL OUTER JOIN (via UNION workaround in MySQL)
CROSS JOIN
SELF JOIN
Subqueries (in WHERE, SELECT, and FROM)
Using EXISTS and NOT EXISTS
Nested and Correlated Subqueries
Common Table Expressions (CTEs) with WITH
Join Optimization Techniques
Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
GROUP BY and HAVING Clauses
ROLLUP and Grouping Extensions
Handling NULLs in Aggregations
MySQL Window Functions (OVER, PARTITION BY)
Ranking Functions: RANK(), DENSE_RANK(), ROW_NUMBER()
Running Totals and Moving Averages
LAG() and LEAD() in Analytics
Analytical Query Design Patterns
Real-world Aggregation Scenarios (Sales, HR, Finance)
Creating Users (CREATE USER)
Assigning Privileges (GRANT, REVOKE)
Role Management in MySQL 8+
Password Management and Authentication Plugins
Restricting Database Access
Security Best Practices for MySQL
MySQL Views: CREATE VIEW, ALTER VIEW, DROP VIEW
Materialized Views (Simulation in MySQL)
Auditing and Logging in MySQL
Database Backup and Restore (mysqldump, mysqlimport)
Stored Procedures and Functions (CREATE PROCEDURE, CALL)
Triggers and Events (AFTER INSERT, BEFORE UPDATE)
Transactions and ACID Properties
Indexes: Clustered, Non-Clustered, Composite
Query Execution Plans (EXPLAIN, EXPLAIN ANALYZE)
Temporary Tables and Derived Tables
Recursive CTEs
Dynamic SQL in MySQL (PREPARE, EXECUTE)
Handling Large Datasets (Pagination with LIMIT OFFSET)
Query Optimization and Performance Tuning
MySQL Architecture Overview
Configuration Files (my.cnf)
Storage Engines: InnoDB, MyISAM, MEMORY, CSV
Backup and Recovery (Logical vs Physical)
Replication and Failover Concepts
Partitioning and Sharding
Performance Schema and Monitoring
Slow Query Log Analysis
Server Variables and Optimization
Upgrading and Maintaining MySQL Versions
SQL + Python Integration (mysql.connector, SQLAlchemy, pandas.read_sql)
SQL + Power BI Integration
MySQL in Web Development (Flask, Django)
MySQL for ETL Pipelines
Building Analytical Dashboards
Data Cleaning & Transformation in SQL
Stored Procedures for Reporting Automation
Query Optimization for BI Tools
Using MySQL with Cloud Platforms (AWS RDS, GCP Cloud SQL, Azure Database for MySQL)
MySQL in MLOps Pipelines
| Duration | |
|---|---|
|
2 Months (8 Weeks) |
|
| Schedule | |||
|---|---|---|---|
|
Weekdays Training Monday to Friday |
Daily Session
|
Weekend Training Saturday & Sunday |
Weekly Session
|
| US dollar | USD | 450 | 650 |
|---|---|---|---|
| Canadian dollar | CAD | 620 | 820 |
| Australian dollar | AUD | 700 | 900 |
| Sterling pound | GBP | 360 | 560 |
| New Zealand dollar | NZD | 780 | 980 |
| Indian rupee | INR | 35,000 | 55000 |
Fee is inclusive of all applicable taxes and include examination and certification fee.
No other hidden charges of any type.
Get seamless, interactive and personalized learning experience
powered by Google Classroom.
Eco-friendly way of learning
Paperless, No hassle
Live training sessions where you can ask queries while the class is going on
Access learning material anywhere and anytime you need though out lifetime
Doubt clearance session after every class from the same trainer to resolve your doubts
Unmatched 10:1 Student : Trainer Ratio to ensure personalized attention to every student
Working on live projects to
enhance your practical skills and knowledge
Proleed’s SQL training course with live classes is a perfect combination of fundamental and advanced concepts of SQL. In fundamental concepts you will learn deeply about the Tables, Queries, Data Manipulation Language (DML) and Data Definition Language (DDL). These fundamental concepts help the students to understand the basics of SQL and get started with managing and querying data effectively. In advanced concepts they will learn deeply about Views, Stored Procedures, Triggers and Indexes. These advanced SQL tools help the students to tackle complex data tasks, analyze the information more deeply and automate the processes more effectively with databases.
With our live Q&A sessions and personalized feedback about the progress, students are able to clear their doubts instantly and help them to elevate their analyzing expertise to new heights. With the help of the hands-on learning experience of professional instructors students can get a clear understanding of complex topics easily and build confidence in them which helps them to excel in this competitive field. So join us today to transform your Data Science career to new heights.
SQL skills are very important for advancing a career in data science. These skills enable data scientists to efficiently retrieve, manipulate and explore data stored in databases. Mastering SQL allows data scientists to extract relevant datasets, delete and preprocess data, and analyze the large volumes of data to uncover the useful insights and patterns.
SQL skills are also essential for collecting data from multiple sources, managing database structures, and optimizing query performance. SQL also helps in collaboration, as it serves as a common language for communication among different data professionals. Also, SQL opens diverse career opportunities in various industries hence making it a valuable asset for data scientists looking to advance their careers.
Proleed has industry’s best placement preparation process
that enables our students to get their dream IT Job.
Our experts will help you to make professional resume for you.
We will help you to build / optimize your linkedIn profile.
We will provide you Interview Questions & Answers.
Our experts will take mock interviews to make you confident.
We will provider Guidelines to access placement Network.
Finally, You got your dream
IT job
Recognized Worldwide for IT Jobs
We provide certificate verification system to speedily verify our
student's certificates online.
We provide certificate verification system to speedily verify our
student's certificates online.
A SQL training course highly recommended for anyone interested in data analysis and further developing their skills. It would most suitable for Business Intelligence Managers, and Data Scientists, developers, and IT specialists who want to enhance their knowledge and skills in data analysis.
Demanding curriculum designed by industry experts
3+ Live Projects that includes real-time use cases
Hands-on experience on advanced tools, languages & technologies
Live doubt clearance session after every lecture
Placement Preparation Process
SQL is a language used to manage data, especially in relational database management system. It helps the data scientist professional to analyze, manipulate and delete the data stored in the large data sets.
You will study all of the basic and advanced concepts, together with tables, queries, data manipulation language, views, stored procedures, triggers and indexes in the SQL training program Proleed.
Yes, definitely you will receive a certificate upon efficiently completing Proleed’s SQL training course. You could use this certificates to your resume or CV to expose your proficiency in SQL to capability employers.
Here at Proleed Academy, we accept payment through different modes like Cash, Master Card, Visa Card, and Net Banking.
There is not any requirement in data analysis, but it would be wonderful for you if you know data science and MS Excel. However, the course content material is designed in the sort of manner that fits all newcomers with different experience levels.
Yes, students have access to course materials even after completing the training. This allows them to review the content, refresh their knowledge, and refer back to resources as needed.
In today’s ever-changing world of IT, a lot of data stored in corporate databases. They need a professional who can easily analyze and manipulate their data when needed. This shows the growth opportunity and bright future in data science career with the need of acquiring the enhanced skills of SQL to ensure the successful management of the data.
Proleed’s SQL training course led by an experienced instructor will help you to gain the right skills and knowledge to analyze data effectively and according to the needs of the companies. With our online training sessions, you will also get hands-on learning experience by working on real projects and dummy projects so that you can excel in your field and be equipped with all the necessary analyzing skills used to manipulate data from the large datasets. This ultimately enhances your Data Science skills and helps you in securing leadership as well as rewarding positions in top IT companies.
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