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Kyle Pew and Office Newb

LEARN SQL WITH MySQL

In order to make intelligent business decisions you need the proper data. In order to get the proper data you will need to communicate with and query data within a database. This is where SQL comes into play. SQL stands for Structured Query Language. It's the language used to communicate with a database and more importantly the data needed to make intelligent decisions that will save time and money.

WHY THIS COURSE

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LEARN SQL WITH MySQL

In order to make intelligent business decisions you need the proper data. In order to get the proper data you will need to communicate with and query data within a database. This is where SQL comes into play. SQL stands for Structured Query Language. It's the language used to communicate with a database and more importantly the data needed to make intelligent decisions that will save time and money.

WHY THIS COURSE

This SQL course starts with the absolute basic building blocks necessary to communicate effectively with any database. You'll learn how to query and manage a database using MySQL. MySQL is a free open-source relational database management system (RDBMS), used by many of the world's largest organizations.

Each section of the course will focus on a key topic of working with SQL. The video lectures have been created so you can follow along as the instructor demonstrates each concept. At the end of each section you can test your understanding through a section quiz and exercise. Once you complete a section the next section will build on the topics of the previous section. This encourages your learning as you build upon the knowledge you learn as you move from one section to the next.

This course is not just a sit back and watch the instructor type on the screen kind of course. The lectures and course flow has been designed to  help you engage in the topic and participate by writing your own SQL. The TRUE LEARNING happens when you apply what you're learning and try it yourself.

The course also contains downloadable resources you can use away from the course as you continue to learn SQL. The QA board found within the course offers you the opportunity to ask questions and get answers from the instructor and interact with the other students enrolled in the course.

  • Learn Proper SQL Syntax Using the MySQL Workbench

  • Learn Relational Database Design Concepts

  • Use the SQL SELECT Statement in Order to Query Data from a Database

  • Use Column Alias to Give additional Context and Meaning to the Data

  • Learn How to Filtering Database Query Results Using the SQL Where Clause

  • Create Advanced Queries by Using the Proper Filter Operators

  • Use the SQL ORDER BY Keyword to Sort the Results of a Query

  • Learn How to Properly Group Data and Create Calculations for Reporting

  • Use the SQL HAVING Clause to Filter within Data Groups

  • Create a MySQL Database from Scratch

  • Learn How to Create Tables and Manage Records within the Tables

  • And Much More...

WHAT ARE YOU WAITING FOR

Start your SQL journey by enrolling now. See you in the course.

Enroll now

What's inside

Learning objectives

  • Manage and interact with large datasets with sql
  • Provide data in order to answer top questions for meetings
  • Create and manage a mysql database
  • Write complex sql queries using table joins
  • Retrieve proper data from a database using a sql where clause with criteria

Syllabus

MySQL Course Introduction
Welcome to the "Introduction to MySQL" Course
Downloadable MySQL Course Resources
Visit the Course QA Board
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops advanced proficiency in data management and querying using SQL and MySQL Workbench, catering to the needs of professionals seeking to enhance their data analysis skills
Enhances data comprehension and utilization by teaching how to filter, sort, and group data for informed decision-making
Provides hands-on practice through exercises and quizzes, reinforcing concepts and ensuring learners' understanding
Suitable for beginners seeking to establish a solid foundation in SQL and data management
Delivered by Kyle Pew and Office Newb, recognized experts in SQL and data management, offering learners access to industry insights
Recommended for individuals seeking to advance their careers in data analysis, business intelligence, or related fields

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Reviews summary

Sql & mysql fundamentals for beginners

According to students, this course offers a solid foundation in SQL using MySQL, designed to be highly accessible for absolute beginners. Learners appreciate the clear and concise video lectures that enable them to follow along effectively. The emphasis on hands-on practice through exercises and quizzes is a key strength, reinforcing the core concepts. While primarily introductory, it equips students with the essential skills for managing and querying databases, making it valuable for career-focused individuals. However, some learners might find the initial setup process of MySQL challenging.
Provides a comprehensive overview of core SQL concepts.
"The course covers all the essential SQL commands from SELECT to JOINs, giving a strong starting point."
"I feel confident in writing basic to intermediate SQL queries after completing this course."
"It perfectly covers what I needed to know to start interacting with databases for my professional role."
Instructor's teaching style is clear and supportive.
"The instructor explains complex topics simply and patiently, which was very helpful for me."
"I appreciated the Q&A board where the instructor was responsive and clarified my doubts quickly."
"The demonstrations were easy to follow, and the instructor clearly cares about student comprehension."
Emphasizes active participation and real-world application.
"The exercises at the end of each section truly helped solidify my understanding; I learned by doing."
"I enjoyed being able to code along with the instructor and immediately apply what was taught."
"The downloadable resources are great; they allowed me to practice beyond the video lessons and apply the concepts."
Course structure and delivery cater well to novices.
"I found the explanations really easy to follow, even though I had no prior experience with databases."
"This course breaks down SQL concepts into manageable chunks, making it perfect for someone just starting out."
"As an absolute beginner, I appreciated how the instructor started with the very basics and built up gradually."
Some learners may encounter difficulties with MySQL installation.
"I struggled a bit with getting MySQL Workbench set up on my machine; the installation steps could be more detailed for various OS."
"The initial database setup took me longer than expected, which was a little frustrating at the start of the course."
"It was a bit challenging to troubleshoot my MySQL connection issues before diving into the SQL queries."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in SQL - Introduction to SQL with MySQL with these activities:
Join a study group
Engage with fellow learners to discuss concepts, solve problems, and enhance your understanding.
Show steps
  • Find a study group or create your own
  • Set regular meeting times
  • Prepare and participate in discussions
Review SQL syntax
Practice writing and executing basic SQL queries to strengthen your understanding of the language.
Browse courses on SQL Syntax
Show steps
Follow tutorials on advanced SQL concepts
Supplement your learning with video tutorials or online courses to delve deeper into advanced SQL concepts.
Browse courses on Advanced SQL
Show steps
One other activity
Expand to see all activities and additional details
Show all four activities
Build a small database application
Apply your SQL skills by designing and developing a simple database application that solves a real-world problem.
Browse courses on Database Design
Show steps
  • Define the problem and gather requirements
  • Design the database schema
  • Create the database and implement the application
  • Test and refine the application

Career center

Learners who complete SQL - Introduction to SQL with MySQL will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in SQL - Introduction to SQL with MySQL.
The official manual for MySQL, providing comprehensive documentation on all aspects of the database, including installation, configuration, operations, and troubleshooting. It is an essential reference for anyone working with MySQL.
Classic work on database design theory. It covers topics such as relational algebra, normalization, and data integrity.
Created by the original architect of pandas, this masterwork teaches the canonical data structures and vectorized operations essential for slicing, cleaning, merging, and reshaping complex tabular datasets in Python.
Presents the modern tidyverse grammar for transforming messy data into structured insights. Covers tibbles, dplyr pipelines, tidyr pivoting, and purrr iterations for rapid exploratory data manipulation.
Is highly relevant for understanding contemporary database topics, particularly in the context of distributed systems, scalability, and various data storage technologies like NoSQL. It is excellent for professionals and advanced students looking to deepen their understanding of modern data systems and their trade-offs.
Collection of articles from SQL Server experts on the topic of performance tuning. It covers a wide range of topics, from query optimization to hardware tuning.
Demystifies relational data transformation through practical PostgreSQL projects. Teaches window functions, subqueries, regular expressions, and cross-tabulations required to manipulate data directly inside the database.
La edición en español de este reconocido libro de texto ofrece una introducción completa a los conceptos fundamentales de los sistemas de bases de datos, cubriendo teoría y práctica. Es un recurso excelente para estudiantes de habla hispana que buscan una comprensión amplia y a menudo se utiliza como libro de texto principal en instituciones académicas.
Delivers a comprehensive, project-driven guide to wrangling messy timeseries, handling missing values, and restructuring dataframes with pandas. Emphasizes defensive coding and performance profiling for large analytical workloads.
Explores the mathematical and algorithmic techniques for transforming raw tabular data into predictive signals. Details numeric scaling, log transforms, categorical encoding, text vectorization, and automated feature extraction.
Guides engineers through extracting, cleaning, and transforming irregular data from diverse formats including JSON, XML, PDF, and messy CSVs. Focuses on automation, error detection, and parsing web feeds reliably.
Provides a beginner-friendly introduction to data modeling, covering fundamental concepts, techniques, and diagramming. It includes hands-on exercises and self-tests to reinforce learning, making it suitable for high school and undergraduate students, as well as those new to the field.
Essential for anyone looking to deepen their understanding of SQL performance and optimization. explains how databases execute queries and provides insights into writing efficient SQL code. It's highly recommended for developers and database administrators aiming to improve application performance.
Provides a deep, foundational look into R core data objects, subscripting mechanics, factor conversions, string manipulation, and reshaping vectors. Offers timeless clarity on base R data processing paradigms.
Provides a comprehensive overview of data warehousing ETL. It covers all the essential aspects of data warehousing ETL, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
A comprehensive and in-depth guide to MySQL, covering advanced topics such as database design, performance tuning, and replication. It is written by a MySQL expert and provides valuable insights for experienced users looking to master the database.
Lays out a systematic workflow for profiling, assessing, and structuring untidy business data. Connects data preparation directly to downstream analytics, preventing upstream bias and data transformation bottlenecks.
Provides a step-by-step guide to data modeling and database design. It covers all the essential concepts, such as entity-relationship modeling, normalization, and database design patterns.
The first volume in a series, this book offers a collection of universal data models applicable across various industries. It's a practical guide providing pre-built patterns for common business concepts like parties, products, and orders. This is an excellent reference for data modelers at all levels, particularly useful for jump-starting modeling projects.
For those looking to deepen their understanding of how database systems function internally, this book provides a detailed exploration of topics like storage engines, indexing, and transaction processing in distributed systems. It is suitable for advanced students and professionals.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing with SQL Server 2019. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Dives into common mistakes and suboptimal solutions in database design and SQL coding, explaining how to identify and correct them. It's crucial for deepening understanding and writing more robust and maintainable SQL. It's a valuable resource for developers and database professionals seeking to improve their practices.
Presents a proactive architectural framework for monitoring data pipelines and catching silent transformation bugs. Teaches automated anomaly detection, schema drift prevention, and lineage tracking for robust data operations.
Delivers fast, battle-tested techniques for cleaning and pivoting irregular spreadsheet exports. Shows how to master Power Query, dynamic arrays, and nested lookups to clean corporate datasets with surgical speed.
Exposes the most widespread and damaging traps in relational data manipulation and query construction. Illustrates how to avoid Cartesian explosion, improper NULL comparisons, and flawed table structures with cleaner SQL alternatives.
Collects cautionary case studies from seasoned data practitioners detailing how hidden encoding bugs, missing fields, schema mismatches, and parsing failures occur, with concrete recipes for defensive data hygiene.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
While focused on MySQL, this book provides in-depth coverage of database and SQL performance tuning that is applicable to other systems. It's essential for those working with large datasets and high-traffic applications. It's a comprehensive guide for optimizing SQL queries and database infrastructure.
Focuses on using SQL specifically for data analysis, covering techniques beyond basic querying to transform and gain insights from data. It's suitable for those who have a foundational understanding of SQL and want to apply it in a data analysis context. It's relevant for data scientists and analysts.
Tailored for aspiring data scientists, this book focuses on the SQL skills needed for data analysis, including dataset construction and manipulation. It bridges the gap between basic SQL and its application in data science workflows. Relevant for those entering or working in the data science field.
Introduces high-performance dataframe processing using Polars and Apache Arrow memory layout. Demonstrates lazy evaluation, query optimization, and multicore parallel execution for multiterabyte data manipulation in Python.
While focused on T-SQL (for Microsoft SQL Server), this book provides a deep and rigorous understanding of SQL fundamentals that are applicable to many dialects. It's highly regarded for its clear explanations and challenging examples, making it excellent for solidifying core concepts. It's often used by professionals working with SQL Server.
La edición en español de 'Database Design for Mere Mortals' ofrece una guía práctica y accesible para el diseño de bases de datos relacionales. Es ideal para principiantes y aquellos sin experiencia técnica previa, enfocándose en principios de diseño fundamentales con explicaciones claras y sin jerga.
Explores advanced in-process analytical querying and columnar data manipulation using DuckDB. Teaches students how to construct complex analytical pipelines, process multiterabyte Parquet tables locally, and embed SQL transformations into Python.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Explores reusable data model patterns for common business structures. It helps in applying data modeling rules in an enterprise context and provides high-level models for various business areas. This valuable resource for experienced modelers and professionals looking for proven solutions to recurring modeling challenges.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Covers distributed data transformation patterns across large compute clusters using Apache Spark. Explains DataFrame and Dataset operations, resilient distributed transformations, and partitioning optimization.
Explores modern columnar in-process analytical SQL transformations using DuckDB. Teaches students how to manipulate large Parquet and CSV files with lightning-fast vectorized execution directly from Python and R environments.
Provides a comprehensive overview of machine learning for data warehousing. It covers all the essential aspects of machine learning for data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.

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