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This course equips you with the essential skills to become a SQL expert. From querying databases to data manipulation, you’ll gain in-depth knowledge and hands-on experience. Elevate your programming prowess and unlock countless opportunities. Enroll now and embark on the path to mastering SQL!
Beginner | |||
Module: 01 | |||
Introduction | FREE | 00:16:00 | |
Tools for Creating Views | 00:11:00 | ||
Examples | 00:21:00 | ||
Updating Data Using a View | 00:13:00 | ||
Columns and Indexed Views | 00:18:00 | ||
Module: 02 | |||
Introduction Stored Procedures | 00:18:00 | ||
Creating Stored Procedures | 00:19:00 | ||
Returning Data | 00:14:00 | ||
Module: 03 | |||
Testing and Debugging | 00:17:00 | ||
Execute with Result Sets | 00:11:00 | ||
Creating Triggers | 00:26:00 | ||
Module: 04 | |||
Overview and Scalar Functions | 00:20:00 | ||
Inline Table Valued Functions | 00:11:00 | ||
Multi Statement | 00:16:00 | ||
Views and Stored Procedures | 00:18:00 | ||
Module: 05 | |||
Transaction Concepts | 00:30:00 | ||
Applications and Transactions | 00:13:00 | ||
Creating Explicit Transactions | 00:29:00 | ||
Structured Error Handling | 00:25:00 | ||
Module: 06 | |||
Introduction to SQL CLR | 00:08:00 | ||
Writing SQL CLR Code | 00:24:00 | ||
Using SQL CLR Code | 00:22:00 | ||
SQL CLR Code | 00:13:00 | ||
SQL CLR Security | 00:20:00 | ||
Intermediate | |||
Module: 01 | |||
Topic A Aggregates | 00:27:00 | ||
Topic B User Defined Types | 00:17:00 | ||
Topic C Table and Functions | 00:10:00 | ||
Topic D Managing Code Modules | 00:08:00 | ||
Module: 02 | |||
Topic A Introduction Data Tools | 00:19:00 | ||
Topic B Connected Database Development | 00:20:00 | ||
Topic C Updating a Connected Database | 00:16:00 | ||
Module: 03 | |||
Topic A Creating New Objects with TSQL | 00:12:00 | ||
Topic B Comparing Database Schemas | 00:10:00 | ||
Topic C Offline Database Development | 00:13:00 | ||
Topic D Database Project Settings | 00:18:00 | ||
Module: 04 | |||
Topic A Using APPLY | 00:15:00 | ||
Topic B MERGE Statement | 00:23:00 | ||
Topic C Creating Recursive Queries | 00:08:00 | ||
Topic D Grouping Sets | 00:12:00 | ||
Module: 05 | |||
Topic A ROLLUP and CUBE Operators | 00:12:00 | ||
Topic B Creating Pivot Queries | 00:14:00 | ||
Topic C Executing Dynamic SQL | 00:28:00 | ||
Module: 06 | |||
Topic A Complex Query Execution | 00:26:00 | ||
Topic B Using Execution Plans | 00:16:00 | ||
Topic C Execution Plan Operators | 00:12:00 | ||
Topic D Common Join Operators | 00:16:00 | ||
Module: 07 | |||
Topic A Hierarchy ID Data Type | 00:12:00 | ||
Topic B Exploring a Hierarchy | 00:09:00 | ||
Topic C Sparse Columns | 00:16:00 | ||
Topic D Column Sets | 00:12:00 | ||
Module: 08 | |||
Topic A Filtered Indexes | 00:09:00 | ||
Topic B FILESTREAM Storage | 00:22:00 | ||
Topic C Adding Sequences to Queries | 00:22:00 | ||
Module: 09 | |||
Topic A Introduction to Spatial Data | 00:13:00 | ||
Topic B Spatial Data in SQL Server | 00:23:00 | ||
Topic C Manipulating Spatial Shapes | 00:10:00 | ||
Topic D Interactions Between Objects | 00:09:00 | ||
Advanced | |||
Module: 01 | |||
Topic A Partitioning | 00:20:00 | ||
Topic B Creating Partition Tables | 00:30:00 | ||
Topic C Querying Partitions | 00:14:00 | ||
Topic D Managing Partitions | 00:17:00 | ||
Module: 02 | |||
Topic A Complex Querying | 00:22:00 | ||
Topic B Rankings | 00:15:00 | ||
Topic C SubQueries | 00:21:00 | ||
Topic D Common Table Expressions | 00:17:00 | ||
Module: 03 | |||
Topic A Complex Data and Structures | 00:26:00 | ||
Topic B Efficient Queries | 00:36:00 | ||
Topic C Complex Queries | 00:17:00 | ||
Module: 04 | |||
Topic A XML Data Type | 00:28:00 | ||
Topic B XML Schemas | 00:17:00 | ||
Topic C Querying XML | 00:20:00 | ||
Topic D Best Practices | 00:08:00 | ||
Mock Exam | |||
Mock Exam – Mastering SQL Programming | 00:20:00 | ||
Final Exam | |||
Final Exam – Mastering SQL Programming | 00:20:00 | ||
Assignment | |||
Assignment – Mastering SQL Programming | 1 week, 3 days | ||
Recommended Materials | |||
Workbook – Mastering SQL Programming | 2 weeks, 1 day | ||
Order Your Certificate | |||
Order your Certificate QLS | 00:00:00 |
Can’t find the anwser you’re looking for ? Reach out to customer support team.
The time it takes to learn SQL can vary depending on your background and commitment. For someone new to programming, a basic understanding of SQL could be achieved within a few weeks of regular study. However, becoming proficient, especially in more complex database operations or specific SQL databases (like PostgreSQL or Microsoft SQL Server), might take several months of practice.
SQL and Python serve different purposes, so one isn't inherently better than the other. SQL is specialized for managing and querying databases, while Python is a general-purpose programming language that can handle a wide range of tasks, including data analysis, web development, and automation. For data-related jobs, both skills are often complementary rather than competitive.
For most beginners, SQL is often seen as easier to learn than Python because it has a narrower focus, dealing primarily with database manipulations. Python, while versatile, has a broader range of syntax and programming paradigms that can be more challenging to master initially.
Yes, SQL is well-suited for self-study. There are numerous resources available online, including tutorials, video lessons, and interactive platforms like Codecademy, Khan Academy, and freeCodeCamp, where you can learn and practise SQL at your own pace.
An SQL course can be relatively easy for individuals who are comfortable with logical thinking and basic mathematics. The complexity of an SQL course would depend on the depth of material covered. Introductory courses that cover basics such as SELECT statements, basic functions, and simple joins are generally not difficult for most learners.
Learning SQL does involve coding, but SQL code is quite different from other programming languages as it is declarative and specifically designed for database interactions. It's generally more straightforward and easier to grasp for those without a traditional programming background.
Proficiency in SQL can lead to various promising career paths in fields like database administration, data analysis, software development, and system management. Jobs that require SQL are often well-paid and in high demand.
While SQL is a valuable skill, having additional skills related to the specific job you're interested in can be crucial. For example, data analysts might need to know Python and data visualization tools like Tableau or PowerBI, while database administrators might need in-depth knowledge of database architecture and security.
Yes, SQL remains in high demand because it is crucial for almost all databases, business intelligence, and data management jobs. It's considered a foundational skill for many roles in IT and data-related fields, making it a valuable skill to learn.
There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.
Sarah Lowe
I’m a programmer. took the course for learnig SQL in details… and it satisfied me very much.
Robert Connor
very very informative course!!! for all who wants to be professional SQL programmer.
Juan Montgomery
Awesome!!!! At last found a great source of contents about SQL advanced lessons. Very happy with that.
Wendy Glaser
Found many modules which arranged in a good sequence. easy to catch the topic from beginner to advance.
Eleanor Williams
Great course of SQL learning!!!!