Big databases are everywhere these days. Facebook, Netflix, Uber, Airbnb use SQL-driven databases - to name just a few. So, to be a successful developer or data scientist you need to know SQL inside-out. SQL isn’t complicated - or at least it doesn’t need to be, so long as you learn it the right way. Problem is - too many other courses out there jump around, skipping important concepts or simply teaching things badly.
Complete SQL Mastery
10h 47m 7s
English
Free
Complete SQL Mastery is a 155-lesson 10 hours 47 minutes self-paced course by Mosh Hamedani (Code with Mosh). Big databases are everywhere these days.
Course facts
- Lessons
- 155
- Duration
- 10 hours 47 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Mosh Hamedani (Code with Mosh)
- Price
- Free
That’s why this course goes further than most. You’ll get in-depth knowledge and skills that are built-up sequentially to make sure you don’t have any gaps. It takes you from whatever level you’re at to advanced skills, without delay - using real-life examples and applicable concepts to get you ready for any SQL job or project
Who teaches Complete SQL Mastery? Mosh Hamedani (Code with Mosh)
Mosh Hamedani is the founder of Code with Mosh, one of the highest-volume independent online instructors in software education. He has been publishing courses continuously since the early Udemy era and has taught over a million students across his Udemy catalog and his standalone Code with Mosh platform. His teaching style is patient, rigorously structured, and deliberately beginner-tolerant — the courses are widely cited as some of the most accessible introductions to their respective topics.
The Code with Mosh catalog covers an unusually wide span: web development with HTML / CSS / JavaScript / React / Angular / Node.js, Python and Django, C# and .NET, mobile development with React Native and Flutter, SQL and database fundamentals, and the algorithm / data-structure interview prep tracks. Few independent instructors maintain this much breadth at consistent quality.
The CourseFlix listing under this source carries over 35 Code with Mosh courses spanning that range. Material is paid; Code with Mosh runs on per-course pricing on the original platform. Courses are aimed primarily at developers picking up a new technology from a clean start through to working production proficiency.
What lessons are included in Complete SQL Mastery?
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0:00 0:00
| # | Lesson Title | Duration |
|---|---|---|
| 1 | Introduction | 00:19 |
| 2 | What is SQL | 03:25 |
| 3 | Installing MySQL on Mac | 04:59 |
| 4 | Installing MySQL on Windows | 05:21 |
| 5 | Creating the Databases | 08:33 |
| 6 | What You'll Learn | 02:32 |
| 7 | The SELECT Statement | 05:51 |
| 8 | The SELECT Clause | 08:49 |
| 9 | The WHERE Clause | 05:18 |
| 10 | The AND, OR and NOT Operators | 06:53 |
| 11 | The IN Operator | 03:04 |
| 12 | The BETWEEN Operator | 02:13 |
| 13 | The LIKE Operator | 05:38 |
| 14 | The REGEXP Operator | 09:22 |
| 15 | The IS NULL Operator | 02:27 |
| 16 | The ORDER BY Clause | 07:07 |
| 17 | The LIMIT Clause | 03:27 |
| 18 | Inner Joins | 08:27 |
| 19 | Joining Across Databases | 02:48 |
| 20 | Self Joins | 04:14 |
| 21 | Joining Multiple Tables | 06:47 |
| 22 | Compound Join Conditions | 03:42 |
| 23 | Implicit Join Syntax | 02:21 |
| 24 | Outer Joins | 06:28 |
| 25 | Outer Join Between Multiple Tables | 06:19 |
| 26 | Self Outer Joins | 02:13 |
| 27 | The USING Clause | 05:23 |
| 28 | Natural Joins | 01:22 |
| 29 | Cross Joins | 03:15 |
| 30 | Unions | 08:30 |
| 31 | Column Attributes | 03:25 |
| 32 | Inserting a Row | 05:47 |
| 33 | Inserting Multiple Rows | 03:19 |
| 34 | Inserting Hierarchical Rows | 05:54 |
| 35 | Creating a Copy of a Table | 08:48 |
| 36 | Updating a Single Row | 03:56 |
| 37 | Updating Multiple Rows | 03:15 |
| 38 | Using Subqueries in Updates | 05:38 |
| 39 | Deleting Rows | 01:25 |
| 40 | Restoring the Databases | 01:07 |
| 41 | Aggregate Functions | 09:20 |
| 42 | The GROUP BY Clause | 07:22 |
| 43 | The HAVING Clause | 08:51 |
| 44 | The ROLLUP Operator | 05:06 |
| 45 | Introduction | 01:29 |
| 46 | Subqueries | 02:30 |
| 47 | The IN Operator | 03:40 |
| 48 | Subqueries vs Joins | 05:08 |
| 49 | The ALL Keyword | 04:53 |
| 50 | The ANY Keyword | 02:37 |
| 51 | Correlated Subqueries | 05:37 |
| 52 | The EXISTS Operator | 05:40 |
| 53 | Subqueries in the SELECT Clause | 04:30 |
| 54 | Subqueries in the FROM Clause | 02:59 |
| 55 | Numeric Functions | 02:55 |
| 56 | String Functions | 05:48 |
| 57 | Date Functions in MySQL | 04:09 |
| 58 | Formatting Dates and Times | 02:15 |
| 59 | Calculating Dates and Times | 03:09 |
| 60 | The IFNULL and COALESCE Functions | 03:30 |
| 61 | The IF Function | 04:55 |
| 62 | The CASE Operator | 05:24 |
| 63 | Creating Views | 05:37 |
| 64 | Altering or Dropping Views | 02:53 |
| 65 | Updatable Views | 05:13 |
| 66 | THE WITH OPTION CHECK Clause | 02:19 |
| 67 | Other Benefits of Views | 02:38 |
| 68 | What are Stored Procedures | 02:19 |
| 69 | Creating a Stored Procedure | 05:35 |
| 70 | Creating Procedures Using MySQLWorkbench | 01:22 |
| 71 | Dropping Stored Procedures | 02:10 |
| 72 | Parameters | 05:27 |
| 73 | Parameters with Default Value | 08:19 |
| 74 | Parameter Validation | 06:41 |
| 75 | Output Parameters | 03:56 |
| 76 | Variables | 04:34 |
| 77 | Functions | 06:29 |
| 78 | Other Conventions | 01:52 |
| 79 | Triggers | 07:32 |
| 80 | Viewing Triggers | 01:21 |
| 81 | Dropping Triggers | 00:53 |
| 82 | Using Triggers for Auditing | 04:53 |
| 83 | Events | 04:34 |
| 84 | Viewing, Dropping and Altering Events | 02:05 |
| 85 | Transactions | 02:45 |
| 86 | Creating Transactions | 05:12 |
| 87 | Concurrency and Locking | 04:08 |
| 88 | Concurrency Problems | 07:26 |
| 89 | Transaction Isolation Levels | 05:43 |
| 90 | READ UNCOMMITTED Isolation Level | 03:27 |
| 91 | READ COMMITTED Isolation Level | 03:02 |
| 92 | REPEATABLE READ Isolation Level | 03:30 |
| 93 | SERIALIZABLE Isolation Level | 02:19 |
| 94 | Deadlocks | 06:12 |
| 95 | Introduction | 00:44 |
| 96 | String Types | 02:26 |
| 97 | Integer Types | 02:53 |
| 98 | Fixed-point and Floating-point Types | 01:43 |
| 99 | Boolean Types | 00:47 |
| 100 | Enum and Set Types | 03:37 |
| 101 | Date and Time Types | 00:45 |
| 102 | Blob Types | 01:18 |
| 103 | JSON Type | 10:25 |
| 104 | Introduction | 01:26 |
| 105 | Data Modelling | 02:27 |
| 106 | Conceptual Models | 04:35 |
| 107 | Logical Models | 07:25 |
| 108 | Physical Models | 06:29 |
| 109 | Primary Keys | 03:24 |
| 110 | Foreign Keys | 05:49 |
| 111 | Foreign Key Constraints | 05:23 |
| 112 | Normalization | 01:25 |
| 113 | 1NF- First Normal Form | 02:43 |
| 114 | Link Tables | 04:02 |
| 115 | 2NF- Second Normal Form | 06:34 |
| 116 | 3NF- Third Normal Form | 01:44 |
| 117 | My Pragmatic Advice | 02:56 |
| 118 | Don't Model the Universe | 04:25 |
| 119 | Forward Engineering a Model | 02:36 |
| 120 | Synchronizing a Model with a Database | 04:49 |
| 121 | Reverse Engineering a Database | 03:12 |
| 122 | Project- Flight Booking System | 00:24 |
| 123 | Solution- Conceptual Model | 08:01 |
| 124 | Solution- Logical Model | 09:04 |
| 125 | Project - Video Rental Application | 01:06 |
| 126 | Solution- Conceptual Model | 07:00 |
| 127 | Solution- Logical Model | 08:30 |
| 128 | Creating and Dropping Databases | 01:42 |
| 129 | Creating Tables | 03:14 |
| 130 | Altering Tables | 02:57 |
| 131 | Creating Relationships | 04:48 |
| 132 | Altering Primary and Foreign Key Constraints | 02:11 |
| 133 | Character Sets and Collations | 06:30 |
| 134 | Storage Engines | 02:28 |
| 135 | Introduction | 00:42 |
| 136 | Indexes | 02:50 |
| 137 | Creating Indexes | 05:01 |
| 138 | Viewing Indexes | 03:20 |
| 139 | Prefix Indexes | 03:41 |
| 140 | Full-text Indexes | 07:51 |
| 141 | Composite Indexes | 05:13 |
| 142 | Order of Columns in Composite Indexes | 09:17 |
| 143 | When Indexes are Ignored | 05:04 |
| 144 | Using Indexes for Sorting | 07:03 |
| 145 | Covering Indexese | 01:59 |
| 146 | Index Maintenance | 01:26 |
| 147 | Introduction | 00:34 |
| 148 | Creating a User | 03:14 |
| 149 | Viewing Users | 01:30 |
| 150 | Dropping Users | 00:49 |
| 151 | Changing Passwords | 01:07 |
| 152 | Granting Privileges | 04:54 |
| 153 | Viewing Privileges | 01:35 |
| 154 | Revoking Privileges | 01:21 |
| 155 | Wrap Up | 00:45 |
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Frequently asked questions
What are the prerequisites for enrolling in this course?
The course does not explicitly list prerequisites, but it may be beneficial to have a basic understanding of databases and general programming concepts. Familiarity with installing software on your operating system is also helpful, as the course includes installing MySQL on both Mac and Windows.
What projects or practical exercises does the course include?
Throughout the course, students will engage in practical exercises such as creating and managing databases, performing data manipulation with SQL statements like SELECT, INSERT, UPDATE, and DELETE, and using aggregate functions. There are also exercises involving complex queries with joins, subqueries, and functions, providing a hands-on experience with real-world data scenarios.
Who is the target audience for this course?
The course is designed for aspiring developers and data scientists who need a solid foundation in SQL to work with large databases. It is also suitable for professionals in roles that require data analysis, database management, or backend development who want to deepen their understanding of SQL.
How does this course compare in depth and scope to other SQL courses?
This course offers a comprehensive exploration of SQL, covering fundamental topics such as SELECT and WHERE clauses, operators, joins, and subqueries, as well as advanced topics like correlated subqueries, aggregate functions, and date calculations. With 155 lessons, it provides a thorough grounding in SQL suitable for both beginners and those looking to deepen their knowledge.
What specific tools or platforms does the course focus on?
The course primarily uses MySQL as the database platform, guiding students through the installation process on both Mac and Windows. Lessons focus on SQL syntax and functions within the MySQL environment, making it ideal for those who plan to work with this popular database management system.
What topics or tools are not covered in the course?
The course does not cover non-SQL database systems such as NoSQL databases, nor does it address advanced topics like performance tuning, database security, or database administration. It focuses strictly on SQL queries and MySQL functionalities.
How will the skills learned in this course benefit my career or other learning paths?
Acquiring SQL skills from this course will enhance your ability to manage and analyze data, which is crucial for careers in data science, software development, and data analytics. The knowledge gained can also be a stepping stone to learning other database management systems or advancing into roles that require expertise in data manipulation and reporting.