DataCraft SQL: Mastering SQL for Real-World Insights in Digital Bharat
6
SYLLABUS & MODULES

Module 1: Introduction to SQL and Relational Databases

  • Understanding the role of SQL in data management
  • Exploring the anatomy of a relational database
  • Installing and configuring SQL Server Management Studio (SSMS)
  • Writing your first SQL queries: SELECT, INSERT, UPDATE, DELETE


Module 2: Retrieving Data with SQL

  • Mastering the SELECT statement: filtering, sorting, and aliasing
  • Utilizing aggregate functions for data summarization: COUNT, SUM, AVG, MIN, MAX
  • Joining tables to consolidate information: INNER JOIN, LEFT JOIN, RIGHT JOIN
  • Handling NULL values effectively in SQL queries


Module 3: Manipulating Data with SQL

  • Modifying table structure with DDL commands: CREATE, ALTER, DROP
  • Managing data integrity with constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE
  • Performing data manipulation operations: INSERT INTO, UPDATE, DELETE
  • Understanding transaction management and data consistency


Module 4: Advanced SQL Techniques

  • Unleashing the power of subqueries for complex data analysis
  • Harnessing the capabilities of window functions for advanced analytics
  • Implementing common table expressions (CTEs) for recursive queries
  • Using CASE statements for conditional logic in SQL queries


Module 5: Working with Views, Indexes, and Stored Procedures

  • Creating and managing views to simplify complex queries
  • Optimizing query performance with indexes: clustered, non-clustered
  • Developing reusable code blocks with stored procedures and functions
  • Securing data access using permissions and roles


Module 6: Data Analysis and Reporting with SQL

  • Transforming raw data into actionable insights using SQL
  • Generating meaningful reports with GROUP BY and PIVOT
  • Visualizing data trends with simple charting techniques
  • Implementing best practices for data visualization and reporting


Module 7: Real-world Applications and Case Studies

  • Applying SQL skills to solve real-life business problems
  • Analyzing datasets from various industries: finance, healthcare, e-commerce
  • Developing data-driven solutions for Indian market challenges
  • Collaborative projects and case studies for hands-on learning


Module 8: Career Guidance and Industry Insights

  • Navigating career paths in data management and analytics
  • Understanding the demand for SQL skills in the Indian job market
  • Tips for acing SQL interviews and showcasing your expertise
  • Continuous learning resources and professional development opportunities