The SQL Data Analysis Training Program aims to equip participants with the skills to extract, analyze, and report data from databases using SQL. The program focuses on making data analysis processes more efficient.
The training is for professional development purposes, and the certificate obtained does not replace the MYK authorization certificate in trainings where the MYK authorization certificate is mandatory.
- SQL Fundamentals and Database Structures
- Basics of SQL: Data definition, querying, updating, and deleting commands
- What is a database? Basic database structures (Tables, columns, rows)
- SQL commands: SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP and their usage
- Database relationships: Primary Key, Foreign Key, and relationships
- SQL Query Techniques
- Querying data: Usage of the SELECT statement
- Filtering data: Filtering with the WHERE condition
- Sorting data: Usage of the ORDER BY clause
- Data grouping and aggregate functions: GROUP BY, HAVING, COUNT, SUM, AVG, MIN, MAX functions
- Joining data: Types of JOIN (Inner Join, Left Join, Right Join, Full Join)
- Subqueries and nested queries
- Data Manipulation and Updates
- Data updates: Modifying data with the UPDATE command
- Data insertion: Adding new data with the INSERT INTO command
- Data deletion: Usage of the DELETE command and precautions
- Data transformation and normalization: Techniques for optimizing data structure
- Advanced SQL Techniques for Data Analysis
- Complex queries: Using multiple JOINs and subqueries
- Window functions: ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD(), LAG()
- Data analysis and reporting: Making data more meaningful and creating user-friendly reports
- Database performance optimization: Query optimization and indexing
- SQL for Data Reporting
- Creating and organizing data reports
- Data visualization techniques: Creating graphs and tables with SQL
- Exporting reports: Exporting data to CSV, Excel formats
- Time-based analysis: Performing analysis with date and time functions
- Data trends and historical comparisons: Using DATE, TIME, TIMESTAMP
- Data-Based Decision Support Systems and SQL
- Using SQL in decision support systems
- Business intelligence applications based on SQL queries
- Making strategic decisions through reporting and analysis
- Creating necessary performance reports for data analytics with SQL
- Data Security and SQL
- What is SQL injection and how to prevent it?
- Best practices for database security
- User access permissions: Authorization for data security
- Encryption techniques and data privacy measures
- Big Data and Dataset Management with SQL
- Working with big data: How to approach large data sets with SQL
- Choosing database management systems (DBMS): MySQL, PostgreSQL, MS SQL Server, Oracle
- Challenges and solutions when performing big data analytics with SQL
- Cloud-based data storage and integration with SQL
- SQL Data Analysis Applications
- Real-world examples: Financial data analysis, sales data analysis, customer behavior analysis
- Automating reporting and data analysis processes with SQL queries
- Analyzing survey and market research data with SQL
- Projects using SQL-based data analysis tools
- Skills and Certifications Gained from the Training
At the end of the training, participants will:
- Gain the ability to perform data analysis using SQL effectively.
- Acquire the ability to perform efficient analyses using data reporting and visualization tools.
- Gain experience in extracting and analyzing data from complex databases.
- Participants who successfully complete the training will receive internationally recognized certifications in SQL and data analysis.
The training is open to corporate collaborations, and individual applications are not accepted. The training content can be re-planned based on the corporate participant profile and your specific needs. Following mutual discussions, the scope and method of the training (In-person, Online) will be determined, and the related processes will be completed. If an agreement is reached, the suitable dates and times for your institution's participants and our instructors, as well as the location of the training, will be determined.