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Corporate Served- SQL (Structured Query Language) is a programming language used for managing and manipulating databases. By taking an SQL course in Canada, you'll gain the skills needed to work with databases, which is crucial for roles like Data Analyst, Database Administrator, and Business Intelligence Developer. Whether you're new to programming or already have some technical knowledge, an SQL Training in Canada will give you the practical expertise to query and manage data efficiently in the real world. Learn how to handle large sets of data and create custom queries to extract insights for businesses and organizations.
SQL Course in Canada
- By completing the SQL Training in Canada, youll be able to:
Master SQL Syntax: Understand and use the key SQL commands like SELECT, INSERT, UPDATE, DELETE, and JOIN.
Work with Databases: Learn how to create and manage databases and tables.
Write Complex Queries: Write complex SQL queries for data retrieval, manipulation, and analysis.
Use SQL for Data Reporting: Create reports and generate insights from large datasets using SQL.
Understand Normalization and Indexing: Learn database design concepts like normalization and indexing for efficient querying.
Manipulate Data: Insert, update, and delete data in relational databases.
Use Aggregate Functions: Learn to use aggregate functions such as COUNT, SUM, AVG, and GROUP BY to summarize data.
Implement Security: Understand how to secure databases, manage access controls, and ensure data privacy.
- SQL skills are highly in demand across various industries. After completing an SQL course, fresh graduates can expect competitive salaries. Heres a general idea of what you could earn in Canada:
- In India, the salaries range from INR 30,00,000 to INR 40,00,000 per year, depending on the role and location.
Database Administrator (DBA): Entry-level salaries for DBAs range from CAD 55,000 to CAD 70,000 per year.
SQL Developer: Entry-level SQL developers typically earn between CAD 50,000 to CAD 65,000 per year.
Data Analyst: Starting salaries for data analysts with SQL skills range from CAD 45,000 to CAD 60,000 per year.
Growth Over Time: With experience, salaries can increase significantly. Senior roles in data management or database administration can earn anywhere from CAD 90,000 to CAD 120,000 or more.
- After completing an SQL Training in Canada, your career can grow quickly, as SQL is a fundamental skill in many data-driven jobs. Heres a general path of career progression:
Start as a Data Analyst: Use SQL to query data, create reports, and help businesses understand their data.
Move to SQL Developer: As a SQL Developer, you will focus on creating, optimizing, and maintaining SQL queries and databases.
Advance to Database Administrator (DBA): As a DBA, you will manage and maintain databases, ensuring that data is stored securely and efficiently.
Consider Data Scientist or BI Developer: With more advanced skills, you can transition into roles like Data Scientist or Business Intelligence (BI) Developer, where you will analyze large datasets and help businesses make data-driven decisions.
- The SQL course is very popular in Canada for several reasons:
Universal Tool for Data Management: SQL is used by virtually every company that works with databases, making it a universally valuable skill.
Industry Standard: SQL is the industry standard for querying and managing databases, and its used by major companies across various sectors.
High Demand: Companies are increasingly hiring SQL professionals for roles related to data analysis, database management, and business intelligence.
Easy to Learn: SQL has a simple, straightforward syntax thats easier for beginners compared to other programming languages.
Core for Data Careers: SQL is essential for many technical roles, including Data Analysts, BI Developers, and Database Administrators.
- With SQL skills, you can take on various roles related to data management and analysis. Some common job roles include:
Data Analyst: Use SQL to extract and analyze data, generate reports, and help businesses make data-driven decisions.
SQL Developer: Develop and maintain SQL queries, optimize performance, and build database systems.
Database Administrator (DBA): Manage and maintain databases, ensuring they are secure, efficient, and accessible.
Business Intelligence Developer: Use SQL to help businesses collect, analyze, and visualize data for better decision-making.
Data Engineer: Work on large datasets, integrate different data sources, and build systems to handle big data.
- Several industries in Canada rely on SQL professionals to manage and analyze data. These industries include:
Technology: Tech companies use SQL for managing large datasets, building apps, and creating databases.
Finance: Banks, insurance companies, and financial institutions use SQL to track transactions, analyze financial data, and manage databases.
Healthcare: Healthcare organizations use SQL to manage patient data and track health information.
Retail: Retailers use SQL to analyze sales data, manage inventories, and understand customer behavior.
Telecommunications: Telecom companies use SQL to handle customer data, network statistics, and billing information.
- Once you complete the SQL Training in Canada, youll receive a certificate that proves your knowledge and skills in SQL. This certificate is recognized by employers and can help you stand out when applying for jobs.
- The fee for an SQL course in Canada varies depending on the institution and the format of the course. On average, you can expect to pay:
Fee Range: CAD 400 to CAD 1,500 for a complete SQL course, depending on the duration and provider.
- For those looking to get an official certification in SQL, such as the Microsoft Certified: SQL Server Database Fundamentals or Oracle Database SQL Certified Associate, the certification exam fee is typically:
Exam Fee: CAD 100 to CAD 200 per exam attempt, depending on the certification level.
- Tools Covered in SQL Course:
SQL Server: A powerful relational database management system for querying and managing data.
MySQL: A popular open-source database system often used in web applications.
PostgreSQL: A highly scalable and reliable open-source database system.
Oracle SQL: A widely used relational database system, particularly in large enterprises.
- Projects Covered in SQL Course:
Database Creation and Management: Build and manage your own databases and tables.
Data Extraction: Write SQL queries to extract and manipulate real-world data.
Performance Optimization: Learn how to optimize queries for better performance with large datasets.
Why should you learn SQL Course?
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CURRICULUM & PROJECTS
SQL Training Program
- Overview of Oracle Database
- Introduction to SQL and its Development Environments
- Installing Oracle
- Installing Java SDK
- Installing SQL Developer Client
- What is RDBMS
- Features of RDBMS
- Advantages of RDBMS
- Database Normalization
- SQL Constraints
- SQL RDBMS Concept
- Types of keys in DBMS
- Understanding of Database Terms
- What is Good Database Design
- The Design Process
- Determining the purpose of your Database
- Finding and Organizing the required Information
- Dividing the Information into Tables
- Turning Information Items into Columns
- Specifying Primary Keys
- Creating the Table Relationships
- Refining the Design
- Applying the Normalization Rules
- The Scope of Database Security
- Overview
- Threats to the Database
- Principles of Database Security
- Security Models
- Access Control
- Authentication and Authorisation
- Authentication
- Authorisation
- Access Philosophies and Management
- Database Security Issues
- Access to Key Fields
- Access to Surrogate Information
- Problems with Data Extraction
- Access Control in SQL
- Discretionary Security in SQL
- Schema Level
- Authentication
- Table Level
- SQL System Tables
- Mandatory Security in SQL
- Data Protection
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- Default Values for Columns
- Virtual Columns
- Arithmetic Calculations on NULL Values
- Multi table Insert's
- Merge the Data
- Analytical Functions Introduction
- Getting the Cumulative Sum of Sales
- Displaying Sales as a Percentage of Total Sales
- Ranking your Data
- Performing Top N Analysis
- Dividing your Data into Bands
- LAG and LEAD Function Examples
- Analyzing Sales Growth Across Time
- Analytical Functions Recap
- Row Level Data to Column Level using CASE statement
- Row Level Data to Column Level using PIVOT
- Row Level Data to Column Level using LISTAGG
- Column Level Data to Row Level using UNION
- Column Level Data to Row Level using UNPIVOT
- Hierarchical Queries Introduction
- Connect By Clause
- Creating the Hierarchy Tree
- Sorting the Hierarchy Tree
- CONNECT_BY_ROOT Unary Operator
- SYS_CONNECT_BY_PATH Function
- CONNECT BY for Number Generation
- Regular Expressions Introduction
- Meta Characters . and +
- Meta Characters and *
- Interval Operator to Match the Number of Occurrences
- Matching the Characters in a List
- Combine Multiple Expressions Using |
- Check for an Expression in the Beginning or End of a String
- Search for Meta Characters by Placing a Escape Character
- Materialized Views Introduction
- Materialized Views Creation Options
- Materialized Views with ON COMMIT Option
- Materialized Views with ON DEMAND Option
- Materialized Views with REFRESH FAST Option
- Timing the Refresh
- Query Rewrite Functionality
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