About Course

Self-Paced Microsoft SQL Server Course | Geeks Analytics

Unlock the power of data with the Self-Paced Microsoft SQL Server Course from Geeks Analytics. Designed for beginners and professionals alike, this comprehensive program offers in-depth training on Microsoft SQL Server, enabling you to manage, query, and analyze data efficiently.

Learn essential SQL concepts including Data Definition Language (DDL) for creating and modifying database structures, Data Manipulation Language (DML) to retrieve and manipulate data, and Data Control Language (DCL) for managing access and permissions. With flexible learning at your own pace, this course covers everything from SQL Server architecture and database design to advanced topics like stored procedures, triggers, performance tuning, and security management.

Whether you aim to boost your career in database administration, data analysis, or software development, this course equips you with practical skills and real-world knowledge. Benefit from hands-on exercises, practical projects, and expert guidance—all tailored to fit your schedule.

Start your journey to becoming a proficient SQL Server professional today with Geeks Analytics!

What Will You Learn?

  • Master SQL Fundamentals: Understand the core concepts of SQL, including database basics, tables, and data types.
  • Write Efficient Queries: Learn to write complex SQL queries to extract and manipulate data effectively.
  • Data Filtering & Sorting: Gain skills to filter, sort, and aggregate data using WHERE, ORDER BY, GROUP BY, and HAVING clauses.
  • Join Multiple Tables: Explore different types of JOINs (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.
  • Subqueries & Nested Queries: Understand how to use subqueries to perform advanced data retrieval.
  • Database Functions: Use built-in SQL functions for string manipulation, date/time calculations, and mathematical operations.
  • Create & Manage Database Objects: Learn to create, update, and manage tables, views, indexes, and stored procedures.
  • Data Analysis & Reporting: Apply SQL for real-world data analysis, reporting, and decision-making.
  • Optimize Query Performance: Get insights into query optimization techniques for faster and more efficient database access.
  • Hands-on Practice: Build confidence through practical exercises and projects to solidify your SQL knowledge.

Material Includes

  • 10 hours On-Demand Video
  • 36 Articles
  • 2 Capstone Project
  • Certificate of Achievement post course completion

Requirements

  • Basic Computer Skills: Familiarity with using a computer and navigating software applications.
  • Interest in Data: A keen interest in working with data and learning how databases operate.
  • No Prior SQL Knowledge Needed: This course is designed for beginners, so no prior experience with SQL or databases is required.
  • Access to a Computer: A laptop or desktop with internet access to follow along with the course materials and practice exercises.
  • Willingness to Practice: Commitment to practicing SQL queries regularly to build hands-on skills.

Audience

  • Aspiring Data Analysts: Individuals looking to build a strong foundation in SQL for data analysis and reporting.
  • Beginners in Databases: Those new to databases who want to learn how to effectively retrieve and manipulate data using SQL.
  • Students & Graduates: Fresh graduates or students aiming to boost their technical skills for better career opportunities.
  • Working Professionals: Professionals from non-technical backgrounds wanting to transition into data-related roles.
  • Software Developers: Developers seeking to enhance their database querying skills for application development.
  • Business Intelligence Enthusiasts: Anyone interested in understanding how to work with data to support business decisions.
  • Data Science Aspirants: Beginners preparing for advanced data science concepts that require solid SQL knowledge.

Course Content

Introduction to Microsoft SQL Server

  • Introduction to RDBMS
    21:08
  • Installation of SQL Workbench
    13:38
  • Introduction to SQL Workbench
    07:46

What is Data Definition Language (DDL)?

What is Data Manipulation Language (DML)?

SQL Constraints

Relationships in SQL

SQL Statements

SQL Query Optimization

SQL Joins

SQL Views & CTE

SQL Procedures and Functions

SQL Hands-On Projects

Instructors

Geeks Analytics

Geeks Analytics

1 Student
5 Courses

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