Course Design By
Nasscom & Wipro
Become a SQL expert. Join now to learn from a SQL specialist.
In collaboration with
20 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
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.
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.
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.
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.
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.
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.
Fee Range: CAD 400 to CAD 1,500 for a complete SQL course, depending on the duration and provider.
Exam Fee: CAD 100 to CAD 200 per exam attempt, depending on the certification level.
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.
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.
we train you to get hired.
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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
Security Models
Database Security Issues
Optimize Queries
Create Optimal Indexes
Memory Allocation
Data Defragmentation
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
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
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
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
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
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
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
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
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
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
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
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
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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You will get certificate after
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You will get certificate after
completion of program
You will get certificate after
completion of program
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The Oracle/SQL training at Croma is highly interactive and practical. The best thing is that you don’t have to worry even you miss one or more LIVE sessions. You will get the recording of each class in LMS (Learning Management System) and use these recordings for future references too when you nee Read more...
Thank you Croma Campus for breaking down the subject in small and easy components. It made everything easy to understand. I appreciate your patience and style of teaching. I was worried in getting into Database testing training but the trainer helped me go through it. Each part of the training was e Read more...
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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