SQL for Data Analysis

The “Data Analysis using SQL” course is designed to provide participants with the foundational skills necessary to perform data analysis using SQL (Structured Query Language). This course is suitable for beginners who have little to no prior experience with SQL, as well as intermediate users looking to sharpen their data analysis skills.

This training course will highlight the following:

• 1. Comprehensive Introduction to SQL
  • Learn the basics of SQL, the standard language for managing and manipulating databases.
  • Understand the structure and concepts of relational databases.
  2. Hands-On SQL Query Writing
  • Master basic SQL commands: SELECT, WHERE, ORDER BY.
  • Develop skills to filter, sort, and retrieve data efficiently.
  3. Data Aggregation Techniques
  • Utilize aggregate functions like COUNT, SUM, AVG, MAX, and MIN to summarize data.
  • Group data using GROUP BY and filter grouped data with HAVING.
  4. Advanced Data Retrieval with Joins
  • Explore various types of joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
  • Combine data from multiple tables to gain comprehensive insights.
  5. Complex Queries with Subqueries and Nested Queries
  • Implement subqueries in SELECT, FROM, and WHERE clauses.
  • Use correlated subqueries for advanced data analysis tasks.
  6. Working with Date and Time Data
  • Learn to handle and manipulate date and time data effectively.
  • Apply date functions to filter and format date-based information.
  7. String Functions and Data Cleaning
  • Perform string manipulation and formatting.
  • Address and manage NULL values for accurate data analysis.
  8. Simplifying Queries with Views
  • Create and manage views to encapsulate complex queries.
  • Use views to streamline data retrieval and improve query readability.
  9. Performance Optimization Strategies
  • Enhance query performance using indexing techniques.
  • Optimize SQL queries for faster and more efficient data processing.
  10. Practical Application and Real-World Scenarios
  • Engage in hands-on exercises and assignments to apply SQL skills.
  • Work on real-world case studies to reinforce learning and practical application.
  11. Interactive Learning Experience
  • Benefit from a mix of interactive lectures, live demonstrations, and practical exercises.
  • Participate in Q&A sessions to clarify doubts and deepen understanding.
  12. Course Resources and Materials
  • Access comprehensive lecture slides and notes.
  • Work with sample databases and practical exercise datasets.
  • Utilize SQL script templates and additional reading materials for further learning.

1. Understand the basic concepts of relational databases and SQL.
2. Write basic SQL queries to retrieve data from databases.
3. Use SQL functions to aggregate and analyze data.
4. Join multiple tables to gain deeper insights from the data.
5. Implement subqueries and nested queries for complex data retrieval tasks.
6. Work with date and time data effectively.
7. Utilize string functions and clean data for accurate analysis.
8. Create and manage views to simplify complex queries.
9. Optimize SQL queries for better performance.
10. Apply SQL skills to real-world data analysis scenarios.

• Data analysts and aspiring data professionals.
• Business analysts looking to enhance their SQL skills.
• Anyone interested in learning SQL for data analysis.

• Interactive lectures
• Live demonstrations
• Practical exercises and assignments
• Case studies and real-world scenarios
• Q&A sessions

Kindly email info@emaratic.com for registration or call +971 43 34 6009 for assistance