Master advanced data analysis with SQL, Window Functions,Joins, CTEs & more to advance your career: PostgreSQL; MySQL ..

What you'll learn

Use Industry-style data to learn how to CONSTRUCT SQL QUERIES for the purpose of analysing data and reporting

Learn how to MANIPULATE DATA using advanced SQL techniques as used in industry today using our included insurance database

Gain the confidence to query data using SQL on ANY PLATFORM for analysis or reporting including AWS and Azure

Learn how SQL gives you the power to gain valuable INSIGHT into your organisation's data

Create queries for the purpose of PRODUCING REPORTS, by formatting the output for your business

Requirements

Confidence with a computer and installing (free) software

No prior programming experience required

Understanding of what a database is and basic understanding of tables and columns

Description

SQL really is the language of Data Analysis. This course will teach you the most useful querying techniques for industry.Unlike other courses you'll be taught with industry-style data.Learning to use SQL well, allows you to query the data in your organisation's databases so that you can answer the questions you have as a data and business professional. It is the "bread and butter" skill that data professionals have used for decades and it's as in-demand today as its ever been - especially on the cloud!. I've put together all of the useful topics I already teach in my day-job, into one convenient course for you!For anyone wanting to move into the field of Data Analysis or Data Science, or those who have only worked with spreadsheets, or relied on others to query the data for them, this course will help you grasp the most useful SQL functionality and enable you to grow in your role.. even if you have no programming experience. Once you have that skill to query data in different ways and without reliance on others, you'll be able to find useful ways to extract it and analyse it. It's only then that you gain insight into what organisational databases hold. This course comes with a financial database based upon an insurance claims model (something easily understood) which you'll learn to query and build your skills with. All the lessons and exercises will be based on this database so you'll have the freedom to explore and investigate relationships in the data that other courses aren't usually able to offer. You'll have access to all of the code used by the instructor so you can follow along, as well as the solution to exercises that you'll use to shore-up your skills. You'll also have access to me through Q&A of-course!The techniques you learn can be applied on multiple platforms. Whether you are using PostgreSQL, MySQL, AWS Athena, or any other environment that requires SQL for querying. Once you get started, you'll quickly be able to adapt what you learn for use anywhere.We'll take you through from the very basics, through to advanced functionality most commonly used in industry and not just the vanilla content you'll see in most other courses. You'll soon be a SQL hero. So what are you waiting for?

Overview

Section 1: Welcome

Lecture 1 Welcome to Hands-On SQL for Data Analysts

Lecture 2 Objectives of this course

Section 2: Setting up

Lecture 3 Installing PostgreSQL and PGAdmin on MacOS

Lecture 4 Installing PostgreSQL and PGAdmin on Microsoft Windows

Lecture 5 Creating our database for the course

Lecture 6 Understanding the Wardown Park Insurance database

Section 3: The Basics of SQL

Lecture 7 The SELECT statement

Lecture 8 The COUNT() function

Lecture 9 The DISTINCT statement

Lecture 10 Using ORDER BY to arrange your results

Lecture 11 WHERE condition (and an introduction to SQL Operators)

Lecture 12 Decision making using CASE

Lecture 13 Handling NULLs (Part 1)

Lecture 14 Handling NULLs (Part 2) : Using COALESCE

Section 4: SQL Operators

Lecture 15 SQL Logical Operators (Part 1)

Lecture 16 SQL Logical Operators (Part 2)

Lecture 17 SQL Comparison Operators

Lecture 18 UNION (Part 1)

Lecture 19 UNION (Part 2)

Section 5: Subqueries & Common Table Expressions (CTEs)

Lecture 20 Subqueries Part 1 : Scalar and Multi-column Subqueries

Lecture 21 Subqueries Part 2 : Correlated Subqueries

Lecture 22 Subqueries Part 3 : Common Table Expressions (CTEs)

Section 6: How to JOIN tables

Lecture 23 Table Join concepts

Lecture 24 Coding Joins

Lecture 25 Self Join

Lecture 26 Understanding Multi-table Joins

Lecture 27 Coding Multi-table Joins

Section 7: Aggregating Data

Lecture 28 Simple Aggregation

Lecture 29 GROUP BY Part 1

Lecture 30 GROUP BY Part 2

Lecture 31 HAVING

Lecture 32 DISTINCT revisited

Section 8: Data Manipulation

Lecture 33 Data Types, Constraints, Primary-Keys Explained

Lecture 34 Considering data types when building queries

Lecture 35 Manipulating Column Data Part 1

Lecture 36 Manipulating Column Data Part 2

Lecture 37 Manipulating Column Data Part 3

Lecture 38 Number Manipulation

Lecture 39 Date and Time Part 1

Lecture 40 Date and Time Part 2

Lecture 41 Pivot Data Part 1

Lecture 42 Pivot Data Part 2

Section 9: Regular Expressions - finding data using pattern matching

Lecture 43 Regular Expressions explained

Lecture 44 LIKE and Wildcard in Regular Expressions

Lecture 45 POSIX operators

Lecture 46 Ranges in Regular Expressions

Lecture 47 Worked example using Regular Expressions

Section 10: Window/Analytical Functions

Lecture 48 ROWNUM

Lecture 49 RANK and DENSE RANK

Lecture 50 LAG and LEAD

Lecture 51 Other useful Window Functions

Section 11: Closing Remarks and Exciting Bonus Material

Lecture 52 Congratulations

Lecture 53 Bonus Lecture : Learn More For Free

Data Analysts,Scientists and Engineers wanting to learn SQL,Business Analysts who want to learn SQL to gain insight into their organisation's data,Students wanting to learn SQL as a data query tool