Basic to Advanced SQL Course Overview

Basic to Advanced SQL Course Overview

Unlock the power of data management with our comprehensive Basic to Advanced SQL course, designed for SQL Server users, database administrators, and data analysts. Over 5 intensive days, you will master SQL querying techniques that enhance your ability to retrieve, manipulate, and manage data effectively.

Key learning objectives include understanding SQL fundamentals, utilizing variables, executing complex joins, and applying aggregate functions. Gain practical skills in creating stored procedures and user-defined functions, as well as advanced topics like dynamic SQL and error handling.

This course empowers you to streamline data processes and make informed decisions, transforming your career in data management.

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1,700

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Course Fee 1,700
Total Fees
1,700 (USD)
  • Live Training (Duration : 40 Hours)
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Advisor

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Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience. 

 

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

 

Target Audience for Basic to Advanced SQL

Unlock your potential in data management with our Basic to Advanced SQL course, designed for anyone eager to enhance their SQL skills and streamline data operations.


Target Audience:


  • SQL Server Users
  • Database Administrators
  • Data Analysts
  • Data Scientists
  • Business Intelligence Professionals
  • Software Developers
  • IT Professionals seeking database proficiency
  • Web Developers managing SQL databases
  • Project Managers overseeing data-driven projects
  • Students pursuing careers in data analytics or database management
  • Any professionals working with data-driven applications or systems


Learning Objectives - What you will Learn in this Basic to Advanced SQL?

Course Overview

The Basic to Advanced SQL course equips students with essential querying skills through comprehensive exploration of MS SQL Server, empowering them to efficiently retrieve, manipulate, and manage data.

Learning Objectives and Outcomes

  • Understand the fundamentals of MS SQL Server and its various editions.
  • Write and execute basic SQL statements including data manipulation commands.
  • Retrieve and filter data using SELECT statements and WHERE clauses.
  • Utilize SQL variables for dynamic queries and data management.
  • Perform data aggregation using aggregate functions and grouping techniques.
  • Master table joins to combine data from multiple sources.
  • Implement subqueries and derived tables for advanced data retrieval.
  • Create, manage, and update views for data organization.
  • Develop and execute stored procedures, including error handling techniques.
  • Explore window functions and set operations to analyze data effectively.

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