Apply SQL Server Database Management & Analytics

By the end of this course, learners will be able to manage semi-structured data using JSON, model complex relationships with graph databases, and apply advanced analytics by integrating R and Python within SQL Server. Learners will gain the ability to query, modify, and analyze diverse data formats directly inside the database environment. This course is designed for database professionals and data practitioners who want to move beyond traditional relational querying and leverage advanced SQL Server capabilities. Through hands-on concepts, learners will understand how to store and manipulate JSON data, build and query graph databases for relationship-driven use cases, and execute R and Python scripts for analytics, data ingestion, and transformation. The course emphasizes practical application, enabling learners to process structured and unstructured data efficiently without moving data outside SQL Server. What makes this course unique is its unified approach to modern data handling within SQL Server—combining JSON, graph databases, R, and Python in a single advanced curriculum. By completing this course, learners will enhance their analytical skill set, improve data-driven decision-making, and be better prepared to handle real-world enterprise data challenges using SQL Server’s advanced features.

By the end of this course, learners will be able to configure SQL Server environments, maintain database integrity, automate administrative tasks, analyze performance bottlenecks, and apply modern SQL Server features to support enterprise workloads. Learners will gain hands-on expertise in working with system tables and views, creating and managing databases using T-SQL, implementing robust backup and recovery strategies, and enforcing standards through Policy-Based Management. This intermediate-level course is designed for professionals who already understand SQL fundamentals and want to advance into SQL Server administration, performance tuning, and operational reliability. Through practical demonstrations and real-world scenarios, learners will explore DBCC commands, data import/export techniques, replication architecture, SQL Server Agent automation, and performance analysis using execution plans, DMVs, and profiling tools. What makes this course unique is its strong focus on SQL Server internals and operational decision-making, rather than basic query writing. Learners will develop job-ready skills used by database administrators and data engineers to monitor, optimize, and manage SQL Server systems at scale. Completing this course equips learners with the confidence to handle complex database environments, troubleshoot performance issues, and support business-critical SQL Server deployments effectively.

By the end of this course, learners will be able to explain relational database concepts, configure MS SQL Server, create databases and tables, enforce data integrity using constraints, and retrieve data using structured SQL queries. This beginner-friendly course provides a comprehensive introduction to MS SQL Server and relational database management. Learners start with core database concepts such as RDBMS principles and database planning, then progress to installing and navigating SQL Server tools like SQL Server Management Studio. The course systematically builds practical skills in defining databases and tables, applying constraints, inserting records, and writing SQL queries ranging from basic SELECT statements to advanced joins and aggregations. Designed with a clear modular structure, the course balances conceptual understanding with hands-on SQL practice, reinforced through video-wise MCQs, lesson-level practice quizzes, and graded module assessments. Each topic follows a logical progression, making it ideal for learners with no prior database experience. What makes this course unique is its end-to-end beginner pathway—covering not just SQL syntax, but also SQL Server architecture, tools, and real-world database design considerations. Upon completion, learners will have a strong foundation to pursue advanced SQL, data analysis, or database development roles.