
This introduction is intended to showcase the many concepts we will be going over in this class. As you can see by going through the course, each lecture and section is supplemented by many, many practice problems. MySQL, along with many coding languages, requires tons of practice to get used to some of the terminology and structuring. I have constructed this course to provide you guys with as much practice as I can, so you don't have to constantly rewatch my lectures to remember how to do something.
We'll go through basic installation of MySQL Workbench.
In this lecture you will execute the two free databases we will be using extensively in this course.
Learn how database management enables real-time data updates, secure storage, and shareable, transportable analyses from data mining and business intelligence to forecast the future and guide decisions.
Model reality in databases by identifying entities and attributes, using unique identifiers, and preparing for many-to-many relationships, illustrated with stocks and Marine Traffic data as realistic tables.
Explore how to query a table by projecting specific columns or selecting all with a star, and restrict rows using a where clause, illustrated with share-table examples.
Explore MySQL built-in functions such as avg, max, min, sum, and count, and learn to apply them to results, including correlated queries and nested function calls.
Learn how to use subqueries in MySQL to compare values against aggregates, such as filtering firms by price-to-earnings ratio, and to find the firm with the maximum holding value.
Practice-focused review of sql basics through quiz questions on data models, queries, and star models. Emphasizes data types, primary keys, and where clauses for value calculations.
Explore why one-to-many relationships matter in relational databases, using stocks and nations, and learn how primary keys and foreign keys link tables to avoid duplication.
Create two related tables in MySQL using a one-to-many relationship. Define primary keys and a non-identifying foreign key, enforce referential integrity, and populate with sample data.
Group by groups of similar characteristics to compute totals, such as total stock value or dividend payments by nation, and use having to filter groups by count.
Explore views as virtual tables that store the query, not results, so underlying data changes reflect instantly, and learn to create and query views with joins and aliases.
Practice building data models and performing complex MySQL queries using primary keys, joins, and correlated subqueries, with currency conversions via exchange rates and group by operations.
Explore three table joins for many-to-many relationships by enforcing two matching conditions on the join table in both joins, with sales items and Olympics examples to select specific fields.
Explore how to implement divide in SQL, using for all and not exists, with three-table joins and count distinct to identify items that appear in all sales.
Learn how to use union to combine two queries into one with unique results, enforce matching columns, and filter by date and value in MySQL.
Explore mapping one-to-one and recursive relationships in a data model, decide foreign key placements, and design Olympic-themed tables for countries, athletes, teams, and events.
Explore modeling one-to-one and one-to-many recursive relationships with self-referencing foreign keys, illustrated by monarchs, employees, and the Olympics city data model.
Learn to query many-to-many relationships with joins across the animal photography kit and its components. Work with subqueries and three-way joins, modeling friendships and course prerequisites in a matrix organization.
Explore data modeling basics, identify entities, attributes, relationships, and identifiers, and craft well-formed, high fidelity models that reflect real-world context and support business decisions.
Explore how to model geographic data with accuracy and minimal impurities, focusing on nations, cities, administrative units, primary keys, and one-to-many and many-to-many capital relationships.
Explore how to structure people data models for family relationships, modeling marriages as many-to-many between persons, with start and end dates and a marriage status, plus child relationships.
Explore entity types in data modeling, including independent, dependent (weak), associative, aggregate, and subordinate entities, and learn how identifiers and relationships like one-to-many and many-to-many shape a database schema.
Explore temporal databases in MySQL and database management: learn how transaction time and valid time attach time stamps to data, store historical states, and query time-varying records.
Explore practical MySQL and database management concepts through the final exam, covering building-tenant lease relations, many-to-many mappings, joins, aggregations, subqueries, and a stored procedure.
Design a relational data model for a sports organization, creating tables for coaches, teams, stadiums, general managers, and owners, with one-to-many and one-to-one relationships, including composite keys.
Demonstrates inserting data into MySQL from Excel by generating insert statements, handling one-to-one, one-to-many, and many-to-many relationships with proper keys, and troubleshooting data issues.
Explore building practical MySQL queries using where clauses, counts, group by, having, and joins to analyze NBA data, including ages, team sizes, and stadium capacities.
My hope is that through this class, I can share my love for data analytics with you guys, and also teach you things you would normally have to go to a 4 year college for. Almost every job in the world now relies on Data Analytics. Not only that, but companies will pay huge amounts of money for people with these skills, since it is still such a new market. While this course focuses on MySQL, I will be going over topics that extend into other realms of data analytics, going in depth into what it takes to properly manage a database, and how to analyze a database into meaningful results for a company.
The course follows the following format:
I hope you guys are excited as I am to get into the world of Data Analytics and Database Management. Whether you are a student, trying to learn a new skill, or an entrepreneur, MySQL , and more importantly, data analytics is an extremely important skill to have in today's world. Please, don't be afraid to ask any questions, I will be more than happy to answer them as best as I can.