Course Overview
This comprehensive course offered by IRES covers the use of SQL for querying, transforming, and analyzing data stored in relational databases. Participants will learn practical SQL techniques for data manipulation and processing, enhancing their ability to work with complex datasets.
Duration
10 Days
Target Audience
- Database administrators
- Data analysts
- Business analysts
- IT professionals
Personal Impact
- Enhance SQL proficiency for data manipulation.
- Develop skills for querying and transforming data.
- Gain practical experience with SQL in real-world scenarios.
- Improve ability to analyze and process complex datasets.
Organizational Impact
- Improve data querying and reporting capabilities.
- Enhance data quality and consistency through effective SQL practices.
- Ensure efficient data processing workflows.
- Enable better decision-making through accurate data analysis.
Course Level:
Course Objectives
- Understand the fundamentals of SQL for data manipulation.
- Learn advanced SQL querying techniques.
- Perform data transformation and aggregation.
- Handle complex joins and subqueries.
- Optimize SQL queries for performance.
- Manage and maintain relational databases.
- Develop skills for data analysis and reporting.
- Integrate SQL with other data tools and platforms.
- Troubleshoot and resolve common SQL issues.
- Apply learned skills to real-world data projects.
Course Outline
Module 1: Introduction to SQL
- Overview of SQL and relational databases
- Basic SQL syntax and commands
- Setting up a SQL environment
- Case Study 1: Setting up a database for a small business
- Hands-On Exercise 1: Install a SQL environment such as MySQL, PostgreSQL, or SQLite
Module 2: Querying Data with SQL
- SELECT statements and filtering data
- Using WHERE, ORDER BY, and LIMIT
- Handling NULL values
- Case Study 2: Analyzing Customer Orders
- Hands-On Exercise 2: Write a query to find orders where customer information is missing
Module 3: Advanced SQL Queries
- Complex joins and subqueries
- Using GROUP BY and HAVING
- Window functions and CTEs
- Case Study 3: Sales Performance Analysis
- Hands-On Exercise 3: Create a query to calculate moving averages of sales using window functions
Module 4: Data Transformation with SQL
- Data cleansing and preparation
- Data aggregation and summarization
- Data conversion and formatting
- Case Study 4: Preparing Data for Analysis
- Hands-On Exercise 4: Write queries to identify and fix inconsistencies in data, such as incorrect or duplicate entries
Module 5: Performance Optimization
- Indexing and query optimization
- Analyzing query performance
- Optimizing data storage and retrieval
- Case Study 5: Optimizing a Slow Query
- Hands-On Exercise 5: Evaluate and optimize data storage strategies for better retrieval times
Module 6: Managing Databases and Tables
- Creating and modifying tables
- Managing database constraints
- Data integrity and normalization
- Case Study 6: Schema Evolution
- Hands-On Exercise 6: Implement primary keys, foreign keys, and unique constraints
Module 7: Advanced Data Analysis with SQL
- Statistical functions and analysis
- Time series analysis
- Advanced data reporting techniques
- Case Study 7: Trend Analysis
- Hands-On Exercise 7: Create complex reports with aggregated and statistical data
Module 8: Integrating SQL with Other Tools
- Connecting SQL with Python and R
- Using SQL in big data environments
- Interfacing with APIs and web services
- Case Study 8: Integrate SQL with Python to perform data analysis and visualization
- Hands-On Exercise 8: Connect SQL with a big data tool like Apache Spark
Module 9: Practical SQL Projects
- Real-world SQL data manipulation projects
- Applying advanced SQL techniques to projects
- Project presentations and feedback
- Case Study 9: Work on a real-world project that requires data extraction, transformation, and analysis from a large dataset
- Hands-On Exercise 9: Execute a comprehensive project that involves data manipulation, querying, and analysis
Module 10: Troubleshooting and Best Practices
- Common SQL issues and solutions
- Best practices for SQL data manipulation
- Future trends in SQL and data processing
- Case Study 10: Resolve common issues encountered during SQL query execution and database management
- Hands-On Exercise 10: Discuss emerging trends and technologies in SQL and data processing
Related Courses
Course Administration Details:
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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