SQL Training in Pune – 100% Placement Training Institute
The SQL Training Course in Pune is designed for a candidate to master the concepts of Databases as used in various backend technologies.
Structured Query Language or SQL is a standard Database language which is used to create, maintain and retrieve the data from relational databases like MySQL, Oracle, SQL Server, PostGre, etc. The recent ISO standard version of SQL is SQL:2019.
As the name suggests, it is used when we have structured data (in the form of tables). All databases that are not relational (or do not use fixed structure tables to store data) and therefore do not use SQL, are called NoSQL databases. Examples of NoSQL are MongoDB, DynamoDB, Cassandra, etc
What is SQL?
SQL or Structured Query Language is the most significant language to learn for getting a job in data analysis or data sciences. Anyone with an interest to learn SQL can join this course! Now opt for this SQL Foundation – Self Paced Course from anywhere in the world, at any time and learn the fundamentals of SQL with a deep understanding of the topics from industry experts. Start your SQL journey today!
Why Should I Join SQL Training Class?
Book your Seat Now
Who can do this course?
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Key Features
10+ Modules
Interview Preparation
100% placement calls Guaranteed till you get placed
30+ Hours
Classroom & Online Training
Flexible Timings
Corporate Trainer Having 7+ yes exp with MNC
Hand on Real Time Projects
Resume Building & Mock Interviews
Career Opportunities
After completion of this course, you will be able to apply for these Jobs.
SQL Developer
Software Developer
Big Data Developer
Data Scientist
Data Base Administrator
SQL Training Course Content
- Introduction to MySQL
- Installation of MySQL server
- Download sample database
- Load sample database to work.
- Basic SELECT Statement
- Selecting All Columns
- Selecting Specific Columns
- Writing SQL Statements
- Column Heading Defaults
- Using Arithmetic Operators
- Operator Precedence
- Using Parentheses
- Defining a Null
- Defining a Column Alias
- Using Column Aliases
- Concatenation Operator
- Using the Concatenation Operator
- Literal Character Strings
- Using Literal Character Strings
- Duplicate Rows
- Eliminating Duplicate Rows
- Limiting Rows Using a Selection
- Limiting the Rows Selected
- Using the WHERE Clause
- Character Strings and Dates
- Comparison Conditions
- Using Comparison Conditions
- Other Comparison Conditions
- Using the BETWEEN Condition
- Using the IN Condition
- Using the LIKE Condition
- Using the NULL Conditions
- Logical Conditions
- Using the AND Operator
- Using the OR Operator
- Using the NOT Operator
- Rules of Precedence
- ORDER BY Clause
- Sorting in Descending Order
- Sorting by Column Alias
- Sorting by Multiple Columns
- Conversion Function
- Logical Functions
- Math Function
- Aggregate Functions
- String Functions
- Date Functions
- Relational Database Management System (RDBMS)
- Normalization
- Create Database objects
- Data Types in SQL
- Alter Table Statements
- Drop Table Statements
- Various Constraints
- Creating Views
- Data Manipulation Language
- Adding a New Row to a Table
- The INSERT Statement Syntax
- Inserting New Rows
- Inserting Rows with Null Values
- Inserting Special Values
- Inserting Specific Date Values
- Creating a Script
- Copying Rows from Another Table
- Changing Data in a Table
- The UPDATE Statement Syntax
- Updating Rows in a Table
- Updating Two Columns with a Subquery
- Updating Rows Based on Another Table
- Updating Rows: Integrity Constraint Error
- Removing a Row from a Table
- The DELETE Statement
- Deleting Rows from a Table
- Deleting Rows Based on Another Table
- Deleting Rows: Integrity Constraint Error
- Using a Subquery in an INSERT Statement
- Self-Join
- Inner Join
- Left Join
- Right Join
- Cross Join
- Using a Subquery to Solve a Problem
- Subquery Syntax
- Using a Subquery
- Guidelines for Using Subqueries
- Types of Subqueries
- Single-Row Subqueries
- Executing Single-Row Subqueries
- Using Group Functions in a Subquery
- The HAVING Clause with Subqueries
- Multiple-Row Subqueries
- Using the ANY Operator in Multiple-Row Subqueries
- Using the ALL Operator in Multiple-Row Subqueries
- Null Values in a Subquery
Course Schedule
| Sno | Date | Duration | Time |
|---|---|---|---|
|
1 |
3 Jan 2023 |
1 month |
10 am |
|
2 |
10 Jan 2023 |
1 month |
11 am |
|
3 |
17 Jan 2023 |
1 month |
12 pm |
|
4 |
24 Jan 2023 |
1 month |
10 am |
Our recent successful placements
Frequently Asked Questions
Course Duration will be 6 weekends to 8 weekends
Yes, Our trainer will help you out with any kind of issues you face in your project
You can pay the fee in 2 installments.
Yes, we provide placement calls based on your experience.
Yes, you can repeat that topic in alternate batches.
No need, you can repeat the course for any number of times in a year without paying any extra amount.
You can discuss this by visiting our office.
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