English | Size: 1.2 GB
Genre: eLearning
Master SQL data analysis, SQL optimization, and SQL modeling with Snowflake in this complete course for all skill levels
What you’ll learn
The SQL language’s history and context in the current data landscape
SQL Data Definition Language (DDL) commands: CREATE, USE, SHOW, DESCRIBE, DROP & ALTER
Experience working with and understanding both synthetic and real-world data
SQL Data Manipulation Language (DML) commands: INSERT, UPDATE, DELETE, TRUNCATE & MERGE
Learn how to analyse data with a variety of beginner to advanced SQL features
Learn to optimize SQL queries for faster execution and efficient resource usage
SQL Scalar & Aggregate Functions: SUM, AVG, RANDOM, ABS, COUNT, YEAR and many more
Introduction to Snowflake, Cloud-Based SQL, and the Lakehouse Data Architecture
Advanced SQL concepts: Window Functions, Collation, Transactions and many more
Foundational Database / Data Engineering concepts: Character Encoding, Access Control, Data Lifecycle and more
SQL Custom functions: User-defined Functions and Stored Procedures
Intermediate SQL Querying topics: Subqueries, Joining, Set Operators and many more
This course is an independent, unofficial training resource and is not endorsed or sponsored by Snowflake Inc.
Welcome to The Ultimate SQL & Snowflake Data Analysis Bootcamp! The only course you need to learn one of the most in-demand data analysis skills in today’s workplace: SQL!
If we look at our modern data landscape we can see SQL everywhere, powering relational databases like SQL Server, MySQL, and PostgreSQL. Enabling cloud-based data analysis through platforms like BigQuery and Snowflake and even serving as interfaces for Big Data tools like Spark (with Spark SQL) and Hadoop.
This course offers a one-stop SQL shop for students of any skill level to learn all the essential data analysis SQL syntax and SQL features, grounded in a deep understanding of how SQL has evolved to meet modern demands, such as cloud computing and Big Data.
Using the powerful cloud-native data platform Snowflake, we’ll analyse synthetic and real-world data through a combination of bite-sized theory lectures and hands-on exercises — equipping you with everything you need to become a SQL expert fit for the world of data analysis!
We accomplish this using a FREE Snowflake trial account, which takes just a few minutes to set up!
Why Choose This Course?
6+ hours of high-quality content comprised of bite-sized videos of around 5 minutes, so you get what you need without the fluff!
Theory lectures that include architectural diagrams, graphics, code snippets, and overview slides to bookmark and study.
Interactive hands-on content in the Snowflake UI with a focus on ANSI-standard SQL code.
Experience working with and understanding both synthetic and real-world data.
A folder full of SQL code to accompany hands-on videos that you can run, edit and share!
A review quiz at the end of each section to reinforce the practical and theoretical concepts you’ve just studied.
Learn SQL in the context of modern data challenges like Big Data and the Cloud.
The perspective of a SQL professional instructor through the Q&A section.
Earn a certificate of completion when you complete the course to showcase your expertise.
What Will You Cover?
1. Course Setup
Create a free Snowflake trial account.
Download the hands-on SQL code.
Learn study methods to help it all go in and stay in!
2. Introduction to SQL and Snowflake
Learn about SQL’s historical context and how it fits into the modern data landscape.
Have a crash course on Snowflake, the cloud-native data platform we’ll be using for the course.
Have an introduction to the technical aspects of the SQL language.
Additional database concepts like the object model and access control.
3. Data Definition Language (DDL)
Learn SQL statements used to create and modify objects: CREATE, USE, SHOW, DESCRIBE, DROP & ALTER.
Learn about Data Types.
Learn about Constraints.
Have an introduction to SQL Syntax Best Practices.
4. Data Manipulation Language (DML)
Learn about SQL statements to generate and modify data: INSERT, UPDATE, DELETE, TRUNCATE & MERGE.
Learn the process of loading large amounts of data with Snowflake features: Stages, File Formats, COPY INTO
