• Vephla
  • SQL

Advanced SQL

Dive deep into the world of databases with our Advanced SQL course, designed for professionals and enthusiasts looking to elevate their data manipulation skills. This course goes beyond the basics, providing a comprehensive exploration of advanced SQL concepts, techniques, and best practices.

Learn: MySQL | SQL | CTEs | EDA

  • 4.9

  • 100% Live Lessons

  • 1, 000+ Students

Mentor: Dr Richards Michael

What you'll learn

    Module 1: Introduction to MySQL

  • Overview of MySQL: History, architecture, and importance in relational database management
  • Installation & Setup: Setting up MySQL environment and MySQL Workbench
  • Basic MySQL Operations: Introduction to database interaction
  • Structured Query Language (SQL): An introduction to the syntax and semantics of SQL
  • MySQL Data Types: Understanding and using different data types in MySQL

    • Module 2: SQL Fundamentals

  • Creating Databases: Syntax for creating databases and tables
  • SELECT Statements: Writing basic SELECT queries to retrieve data
  • MySQL Comments: Single-line and multi-line comments for readability
  • PEMDAS in SQL: Understanding operator precedence (Parentheses, Exponents, Multiplication, Division, Addition, Subtraction)
  • DISTINCT: Using DISTINCT to eliminate duplicate rows
  • WHERE Clause: Filtering records with conditions
  • Logical Operators (AND, OR, NOT): Combining multiple conditions
  • LIKE Statement: Pattern matching using wildcards (%, _)
  • GROUP BY: Aggregating data into groups for analysis
  • ORDER BY: Sorting data in ascending or descending order
  • COUNT and Other Aggregate Functions: Performing calculations on sets of rows
  • HAVING: Filtering groups of data, post-aggregation
  • WHERE vs HAVING: Differences and appropriate use cases
  • LIMIT: Limiting the number of rows returned
  • Aliases (AS): Renaming columns and tables in query results for clarity

    • Module 3: Advanced Joins and Set Operations

  • Understanding Joins: Concept and importance of combining data from multiple tables
  • INNER JOIN: Returning matching records from both tables
  • LEFT JOIN: Returning all records from the left table and matching ones from the right
  • RIGHT JOIN: Returning all records from the right table and matching ones from the left
  • SELF JOIN: Joining a table with itself for complex hierarchical data analysis
  • UNIONS: Merging result sets of two or more queries
  • UNION vs UNION ALL: Handling duplicate rows in combined datasets
  • Real-World Use Cases of Joins: Practical scenarios and optimizations

    • Module 4: String Functions in MySQL

  • String Manipulation: Exploring MySQL’s powerful string functions
  • LENGTH: Determining the number of characters in a string
  • UPPER / LOWER: Changing string case (uppercase, lowercase)
  • TRIM: Removing unwanted whitespace from both sides of a string
  • LTRIM / RTRIM: Trimming spaces from the left or right of a string
  • SUBSTRING: Extracting a portion of a string
  • REPLACE: Replacing occurrences of a substring within a string
  • LOCATE: Finding the position of a substring in a string
  • CONCAT: Concatenating multiple strings together

    Module 5: Complex Queries and Advanced Functions

  • CASE Statements: Conditional logic within SQL queries
  • Subqueries: Writing nested queries for advanced filtering
  • Subqueries in the WHERE Clause: Filtering data based on the result of another query
  • Subqueries in the SELECT Statement: Returning computed columns
  • Window Functions: Advanced analytical queries
  • PARTITION BY: Dividing result sets into partitions
  • ROLLING TOTALS: Calculating cumulative sums across rows
  • ROW_NUMBER: Assigning sequential integer values to rows within partitions
  • DENSE_RANK: Ranking rows without gaps in rank values

    • Module 6: Common Table Expressions (CTEs) and Temporary Tables

  • Introduction to CTEs: Why and when to use Common Table Expressions
  • CTE Syntax: Writing and using CTEs for better query readability and reusability
  • Chaining Multiple CTEs: Writing queries with more than one CTE
  • Temporary Tables: Creating and using temporary tables for intermediate data storage
  • Comparison of CTEs and Temp Tables: When to use one over the other, pros and cons

    • Module 7: Stored Procedures, Triggers, and Events

  • Stored Procedures: Encapsulating business logic within the database
  • Delimiters: Modifying MySQL delimiters for multi-line stored procedures
  • Parameters: Input and output parameters for dynamic procedure execution
  • Triggers: Automatically invoking actions based on table events (INSERT, UPDATE, DELETE)
  • Triggers: Automatically invoking actions based on table events (INSERT, UPDATE, DELETE)

    • Module 8: Data Cleaning and Standardization with MySQL

  • Introduction to Data Cleaning: Importance of data quality in databases
  • Standardizing Data: Formatting inconsistencies, handling duplicates, and data normalization
  • Handling NULL Values: Strategies for dealing with missing or undefined data
  • Replacing or Removing Blank Values: Using NULLIF, COALESCE, and other functions to manage missing values

    • Module 9: Exploratory Data Analysis (EDA) with MySQL

  • Introduction to EDA: Goals and strategies of exploratory data analysis in SQL
  • Descriptive Statistics with SQL: Calculating measures like mean, median, mode, variance, and standard deviation
  • Data Distributions: Understanding distributions through frequency counts, histograms, and quantiles
  • Outlier Detection: Identifying and managing outliers with SQL queries
  • Correlations and Relationships: Investigating relationships between variables using SQL joins and aggregation
  • Data Visualization with SQL: Exporting data for visual analysis in tools like Tableau, Power BI, or Python
  • Real-World EDA Use Cases: Applying EDA techniques in various industries like finance, marketing, and healthcare

Requirements

  • This course has no skill prerequisites; however, having a basic familiarity with computer operations is beneficial.
  • Personal computer—whether it's a Mac, Windows PC, or a Linux machine
  • A stable internet connection is essential for engaging in virtual classes, downloading required softwares, and for individual practice.
  • Time

About This Course

This Advanced SQL course is designed for data professionals seeking to enhance their SQL skills. Participants will explore complex querying techniques such as subqueries and window functions, learn performance optimization strategies, and delve into database design and normalization. The course covers the creation and management of stored procedures and triggers, alongside best practices for data security and transaction management. Through practical exercises and real-world applications, learners will gain the expertise needed to tackle intricate data challenges and optimize their database solutions. A foundational knowledge of SQL is required.

By the end of the course, participants will have the skills to tackle complex data challenges, optimize SQL queries, and design robust database solutions. Whether you're a data analyst, database administrator, or developer, this course will enhance your SQL expertise and elevate your career in data management.

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Instructor

Dr Richards Michael

Data Engineer

  • 5.0
  • 1,500+ Students

Mentor Richards is a skilled Data Analytics professional with a Master's in Big Data Analytics from the University of Derby, UK. He has expertise in various Engineering Tech Stacks, contributing to process optimization and market enhancement for organizations. His strategic approach focuses on promoting business growth and efficiency. Additionally, Richards is committed to knowledge-sharing and continuous learning within the tech community, advancing data analytics and technology.

Review
Adenike Idowu
4.9

Empowering and Educative!

I am grateful for the invaluable resources that Vephla University provided throughout my studies. The platform’s comprehensive curriculum was a perfect fit for my diploma program, offering both essential knowledge and specialized skills needed in my field. The self-paced learning format was incredibly beneficial, especially during my hectic finals season— I could manage my time while diving deep into complex topics.

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  • Not helpful
Wivina Omolemen
4.9

Life-Changing Educational Journey!

As a recent graduate, I can confidently say that Vephla University played an instrumental role in my academic success. The platform offered a diverse range of courses that not only enriched my knowledge but also developed my practical skills. The interactive learning modules made difficult concepts easier to grasp, and I loved how I could learn at my own pace.

  • Helpful
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₦149,999

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This course includes:

  • Job summit

  • Portfolio creation

  • Projects

  • Live classes

  • Full lifetime access

  • Diploma certification

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