Code With Kyle Consultancy

Code With Kyle Consultancy

Master SQL Basics: Your Essential Course for Tech Beginners!

Dive Into Data Management with Our Beginner-Friendly SQL Course! Learn the Fundamentals of Structured Query Language (SQL) Through Practical Examples and Hands-On Projects. Whether You’re New to Tech or Eager to Expand Your Skillset, This Course Provides the Foundation for Analyzing and Manipulating Data. Start Your Data Journey Today!

Structured Query Language

Course Details

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Bootcamp Duration

This course will last 12 weeks.

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How Often?

Two 90 minute evening sessions per week.

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Online Sessions?

Yes. We use zoom for our tutoring. All you need is a working laptop with internet connection.

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Online Class Size

Maximum 10 students per cohort.

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Tutoring

1-2-1 mentoring & coaching.

Zoom call recordings.

Weekly catchups.

Certificate of Achievement.

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Post Bootcamp

CV + Cover letter revamp.

Optimize Linkedin Profile.

On-going support.

What Topics Will You Cover?

Structured Query Language (SQL)

In our SQL course, you’ll delve into the foundational principles of Structured Query Language (SQL), a cornerstone of database management. This session offers an essential introduction to SQL, providing you with the necessary skills to interact with databases, retrieve data, and perform crucial operations.

As an SQL professional, you’ll explore a variety of career paths, including roles such as:

  • Database Administrator: Managing and maintaining database systems to ensure optimal performance.
  • Data Analyst: Extracting insights from data through querying and analysis.
  • SQL Developer: Designing and implementing database solutions for diverse applications.

These roles offer competitive salaries, typically ranging from £35,000 to £50,000 for entry-level positions and exceeding £70,000 to £90,000 for experienced SQL specialists. During this session, you’ll gain practical experience in writing SQL queries, manipulating data, and performing essential database operations. Whether you’re retrieving specific data sets, aggregating information for analysis, or creating complex joins between tables, mastering SQL empowers you to work effectively with databases and extract valuable insights.

Join us on this enlightening journey into the world of SQL, where you’ll discover the power of data manipulation and management. Whether you’re intrigued by the intricacies of database design, data analysis, or database administration, this SQL Fundamentals Starter Session lays a solid foundation for a successful career in database management and analytics.

Week 1: Introduction to Databases and SQL Basics

Session 1:

  • Understanding the concept of a Database and its importance in data management.
  • Exploring different types of Databases: Relational, NoSQL, and their respective features.
  • Introduction to SQL (Structured Query Language) as a powerful tool for database querying.

Session 2:

  • Setting up SQL Environment: Installing and configuring popular database systems like SQLite, MySQL, or PostgreSQL.
  • Learning the basic syntax of SQL commands: SELECT, INSERT, UPDATE, DELETE for data manipulation.
  • Introduction to the SELECT Statement: Retrieving specific data from tables using SQL queries.

Week 2: Retrieving Data Basics

Session 1:

  • Filtering Data with WHERE: Understanding how to filter query results based on specified conditions.
  • Sorting Data with ORDER BY: Arranging query results in ascending or descending order for better analysis.

Session 2:

  • Limiting Results with LIMIT: Specifying the maximum number of rows to retrieve in SQL queries.
  • Retrieving Specific Columns with SELECT: Selecting and displaying only desired columns from database tables.

Week 3: Working with Functions and Aggregates

Session 1:

  • Using Aliases: Assigning temporary names to columns or tables for clarity in query results.
  • Eliminating Duplicates with DISTINCT: Removing redundant rows from query results for cleaner data.

Session 2:

  • Utilizing Aggregate Functions (COUNT, SUM, AVG, MAX, MIN): Performing calculations on groups of rows in SQL.
  • Grouping Data with GROUP BY: Grouping query results based on common attributes or values for analysis.

Week 4: Advanced Data Filtering

Session 1:

  • Filtering Grouped Data with HAVING: Filtering aggregated data using specific conditions.
  • Working with Dates and Times: Understanding how to handle date and time data effectively in SQL.

Session 2:

  • Exploring Built-in Functions: Using SQL’s built-in functions for various data manipulation tasks.
  • Review and Practice: Solidifying knowledge through hands-on exercises on advanced data filtering.

Week 5: Combining Data from Multiple Ta

Session 1:

  • Combining Multiple Tables with JOIN: Joining tables together to retrieve related data from different sources.
  • Understanding Inner Join: Fetching rows that have matching values in both joined tables.

Session 2:

  • Exploring Left/Right Join: Including all rows from one table and matching rows from another in SQL.
  • Using Self-Joins: Joining a table with itself to establish relationships within the same dataset.

Week 6: Using Subqueries and Set Operation

Session 1:

  • Introduction to Subqueries: Understanding nested queries within SELECT statements for complex data retrieval.
  • Applying Subqueries in SELECT Statements: Using subqueries to retrieve specific subsets of data.

Session 2:

  • Working with Subqueries for INSERT, UPDATE, DELETE: Utilizing subqueries for modifying data in database tables.
  • Set Operations (Union, Intersect, Except): Combining and comparing results from multiple queries for analysis.

Week 7: Modifying Data in Tables

Session 1:

  • Inserting Data into Tables: Adding new records or rows to database tables.
  • Updating Existing Data: Modifying and updating data values within existing database records.

Session 2:

  • Deleting Data from Tables: Removing unwanted records or rows from database tables.
  • Review and Practice: Reinforcing understanding through practical exercises on data modification.

Week 8: Creating and Managing Tables

Session 1:

  • Designing and Creating Tables: Defining table structures to store data efficiently.
  • Specifying Data Types: Choosing appropriate data types for columns to ensure data integrity.

Session 2:

  • Defining Constraints (Primary Keys, Foreign Keys, Unique, Not Null): Ensuring data consistency with table constraints.
  • Altering Existing Table: Modifying table structures to accommodate changing business requirements.

Week 9: Advanced SQL Queries - Part 1

Session 1:

  • Creating and Using Views: Implementing virtual tables for simplified data access and security.
  • Working with Transactions: Managing database transactions for data consistency and reliability.

Session 2:

  • Handling NULL Values: Understanding how SQL deals with NULL values in data operations.
  • Review and Practice: Revisiting advanced query concepts with practical exercises and scenarios.

Week 10: Advanced SQL Queries - Part 2

Session 1:

  • Implementing Conditional Logic with CASE: Using conditional expressions for data manipulation.
  • Exploring Window Functions: Performing calculations over specified subsets of rows in SQL.

Session 2:

  • Introduction to Stored Procedures: Creating and executing reusable SQL procedures for common tasks.
  • Review and Practice: Practicing advanced query techniques and understanding stored procedure usage.

Week 11: Optimizing and Troubleshooting

Session 1:

  • Indexes and Performance Tuning: Improving query performance with proper index usage and optimization.
  • Query Optimization Techniques: Applying strategies to enhance SQL query efficiency and speed.

Session 2:

  • Analysing Query Performance: Evaluating and interpreting query execution plans for optimization.
  • Review and Practice: Troubleshooting common SQL errors and optimizing query performance.

Week 12: Maintenance and Advanced Topics

Session 1:

  • Backing Up and Restoring Databases: Implementing strategies for data backup, recovery, and restoration.
  • Common SQL Errors and Troubleshooting: Identifying and resolving typical SQL query errors and issues.

Session 2:

  • Final Review of Concepts: Summarizing key SQL topics covered throughout the course for consolidation.
  • Real-world Applications and Examples: Exploring practical SQL applications and use cases in various scenarios.