SQL Course in Bangalore

4.8 (19,031 reviews)
  • Comprehensive SQL training covering database design, query writing, and more
  • Hands-on labs and real-world projects
  • 1.5-months of Intensive Training and LIVE Project mentoring
  • Unlimited access to SQL Cloud Lab
  • Real-Time Projects
  • Duration: 1.5 Months
  • Resume Building
  • Interview Preparation
  • Placement Assistance
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Key Features

20+ tools

Access to over 20 SQL tools and services.

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Highly engaging physical sessions led by SQL certified experts.

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Multiple industry-aligned capstone projects.

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Speed Building Techniques and Mock tests.

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Job + Personality oriented comprehensive programs.

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Tips & tricks on how to use SQL tools for efficient and optimized database management.

Course
Advantages!

Skills we will be Infusing!

Technical Skills

Interpersonal Skills

Outcomes of the program?

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Successful SQL Developer

Soon after completing this program, you will be a successful Python Developer in a reputable IT Company with a very decent salary package as per the IT Industry standards.

Job positions

You will acquire the necessary skills and expertise to excel in the industry and be qualified for various job positions.

Succeed in job interviews

Our program includes a soft skills development component that will enhance your abilities to succeed in job interviews and showcase your strengths.

Live Projects

Through timely assessments and project-based training, you will gain proficiency in handling multiple live projects.

Job Selection

The Interview & GD training aspect of the program will equip you with the knowledge to succeed in job selection and perform well in any company.

Teamwork and Interaction

You will be proficient in teamwork and client interaction, making these qualities less challenging for you.

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Syllabus For SQL Course in Bangalore

  • 1. Overview Of Databases
  • 2. Installation of PostgreSQL
  • 3. Setting Up PgAdmin
  • 4. Creating Databases
  • 1. Select Fundamentals
  • 2. DISTINCT
  • 3. WHERE
  • 4. COUNT
  • 5. LIMIT
  • 6. ORDER BY
  • 7. BETWEEN
  • 8. IN
  • 9. LIKE
  • 10. WHERE VS HAVING
  • 1. MIN MAX SUM & AVG
  • 2. GROUP BY
  • 3. HAVING
  • 1. Overview of Joins
  • 2. AS Statement
  • 3. Join Types
  • 4. INNER JOIN
  • 5. OUTER JOIN
  • 6. LEFT OUTER JOIN
  • 7. RIGHT OUTER JOIN
  • 8. UNION
  • 1. Timestamp and Extract
  • 2. Mathematical Functions
  • 3. String Functions
  • 4. Operators
  • 5. Subquery
  • 6. Self-Join
  • 1. Data Types
  • 2. Primary Key
  • 3. Foreign Key
  • 4. Constraints
  • 5. Real-Time Table Creation Challenges
  • 6. INSERT
  • 7. UPDATE
  • 8. DELETE
  • 9. ALTER
  • 10. DROP
  • 11. CHECK Constraint
  • 12. NOT NULL Constraint
  • 13. UNIQUE Constraint
  • 14. VIEWS
  • 1. Overview
  • 2. Psycopg2
  • 1. Window Function
  • 2. Row_Number
  • 3. RANK
  • 4. DENSE_RANK
  • 5. LEAD
  • 6. LAG
  • 7. NTILE
  • 8. NTH_VALUE
  • 9. PERCENT_RANK
  • 10. FIRST_VALUE
  • 11. LAST_VALUE
  • 1. CASE Expression
  • 2. CASE With Multiple Conditions
  • 1. What is CTE?
  • 2. Where to Use CTE?
  • 3. Joining CTE with Table
  • 4. Using CTE with Window Function
  • 5. Advantages of CTE
  • 1. Analyzing Customer Behavior
  • 2. Customer Value Analysis - Case Study
  • 3. LAG Function
  • 4. Order Status Analysis
  • 5. Predict Lifetime Value
  • 6. Identifying Cross-Selling Pattern
  • 7. Profit & Loss Analysis Project