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  • 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

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  • 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:
    • 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.

  • In India, the salaries range from INR 30,00,000 to INR 40,00,000 per year, depending on the role and location.

  • 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.

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CURRICULUM & PROJECTS

SQL Training Program

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    Overview of Oracle Database

    Introduction to SQL and its Development Environments

    Installing Oracle

    Installing Java SDK

    Installing SQL Developer Client

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    What is RDBMS

    Features of RDBMS

    Advantages of RDBMS

    Database Normalization

    SQL Constraints

    SQL RDBMS Concept

    Types of keys in DBMS

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    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

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    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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    Optimize Queries

    Create Optimal Indexes

    Memory Allocation

    Data Defragmentation

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    List the Capabilities Of Sql Select Statements

    Generate a Report Of Data From the Output Of a Basic Select Statement

    Use Arithmetic Expressions and Null Values In the Select Statement

    Invoke Column Aliases

    Concatenation Operator, Literal Character Strings, Alternative Quote Operator, and the

    Distinct Keyword

    Display the Table Structure Using the Describe Command

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    Write Queries With a Where Clause to Limit the Output Retrieved

    Describe the Comparison Operators and Logical Operators

    Describe the Rules Of Precedence For Comparison and Logical Operators

    Usage Of Character String Literals In the Where Clause

    Write Queries With an Order By Clause

    Sort the Output In Descending and Ascending Order

    Substitution Variables

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    List the Differences Between Single Row and Multiple Row Functions

    Manipulate Strings Using Character Functions

    Manipulate Numbers With the ROUND, TRUNC, and MOD Functions

    Perform Arithmetic With Date Data

    Manipulate Dates With the DATE Functions

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    Describe Implicit and Explicit Data Type Conversion

    Describe The TO_CHAR, TO_NUMBER, And TO_DATE Conversion Functions

    Nesting Multiple Functions

    Apply the NVL, NULLIF, and COALESCE Functions to Data

    Usage Of Conditional IF THEN ELSE Logic In a SELECT Statement

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    Usage Of The Aggregation Functions In SELECT Statements To Produce Meaningful

    Reports

    Describe the AVG, SUM, MIN, and MAX Function

    How to Handle Null Values In a Group Function

    Divide The Data In Groups By Using The GROUP BY Clause

    Exclude Groups Of Date By Using The HAVING Clause

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    Write SELECT Statements To Access Data From More Than One Table

    Join Tables Using SQL:1999 Syntax

    View Data That Does Not Meet a Join Condition By Using Outer Joins

    Join A Table To Itself By Using a Self-Join

    Create Cross Joins

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    Use a Subquery To Solve a Problem

    Single-Row Subqueries

    Group Functions In A Subquery

    Multiple-Row Subqueries

    Use The ANY and ALL Operator In Multiple-Row Subqueries

    Use The EXISTS Operator

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    Describe The SET Operators

    Use A SET Operator To Combine Multiple Queries Into a Single Query

    Describe The UNION, UNION ALL, INTERSECT, and MINUS Operators

    Use The ORDER BY Clause In Set Operations

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    Add New Rows To a Table

    Change The Data In a Table

    Use The DELETE and TRUNCATE Statements

    How To Save and Discard Changes With The COMMIT and ROLLBACK Statements

    Implement Read Consistency

    Describe The FOR UPDATE Clause

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    Categorize Database Objects

    Create Tables

    Describe The Data Types

    Understand Constraints

    Create a Table Using A Subquery

    How To Alter a Table

    How To Drop a Table

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    Create, Modify, And Retrieve Data From a View

    Perform Data Manipulation Language (DML) Operations On a View

    How to Drop a View

    Create, Use, and Modify a Sequence

    Create and Drop Indexes

    Create and Drop Synonyms

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    Default Values for Columns

    Virtual Columns

    Arithmetic Calculations on NULL Values

    Multi table Insert's

    Merge the Data

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    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

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    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

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    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

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    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

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    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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FAQ's

The course typically lasts between 4 to 6 weeks, depending on the training provider and whether it’s a full-time or part-time course.

No, the course is beginner-friendly and doesn’t require prior programming knowledge. It’s designed for those new to SQL and databases.

Yes, many institutions offer placement assistance, including resume building, interview preparation, and job leads.

The course covers SQL Server, MySQL, PostgreSQL, and other common database systems, along with SQL query writing and optimization techniques.

Yes, you will work on hands-on projects that involve real datasets to build your skills in writing and optimizing SQL queries.

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