Hands-On Sql For Data Analysts

SQL for data analysis - proficiency on any platform PostgreSQL, MySql and more using our included insurance database

What you'll learn

Learn how to construct SQL queries for the purpose of analysing data

Learn how to manipulate data using advanced SQL techniques

Gain the confidence to query data using SQL on any platform for analysis or reporting

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

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.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. For anyone wanting to move into the field of Data Analysis 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 different ways to extract it and analyse it. Its only then that you gain insight into what organisational databases hold.This course comes with a financial database based upon an insurance claims model 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 install your very own database and will have access to all of the code used by the instructor,  as well as the solution to exercises that you'll use to shore-up your skills.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

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

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 REMOVE: RANK and DENSE RANK to be removed

Lecture 50 RANK AND DENSE RANK

Lecture 51 LAG and LEAD

Lecture 52 Other useful Window Functions

Section 11: Closing Remarks

Lecture 53 Congratulations

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