SQL – Master Class For Data Analysis

SQL – Master Class For Data Analysis, available at $74.99, has an average rating of 4.7, with 58 lectures, 29 quizzes, based on 1039 reviews, and has 5752 subscribers.

You will learn about Install and use SQL Server database engine and studio Analyse data looking for patterns and behaviours Expertly code quantitative analysis using SQL Write SQL using LAG(), NTILE(), OVER, PARTITION logic and many more analytics functions Understand Primary and Foreign keys Understand the difference between DML and DDL Understand the relational database model Make data driven decisions in your enterprise Master all types of table joins (incl. Complex Apply joins) Answer those gnarly interview questions, yes we will always have those ! This course is ideal for individuals who are Data Analysts and Data Scientists or Students or DBA's or New graduates or Technical marketing people or Those looking to acquire new skills or Research shows students don’t learn by hearing or seeing, they learn by doing, a model often called active learning. It is particularly useful for Data Analysts and Data Scientists or Students or DBA's or New graduates or Technical marketing people or Those looking to acquire new skills or Research shows students don’t learn by hearing or seeing, they learn by doing, a model often called active learning.

Enroll now: SQL – Master Class For Data Analysis

Summary

Title: SQL – Master Class For Data Analysis

Price: $74.99

Average Rating: 4.7

Number of Lectures: 58

Number of Quizzes: 29

Number of Published Lectures: 58

Number of Published Quizzes: 29

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Install and use SQL Server database engine and studio
Analyse data looking for patterns and behaviours
Expertly code quantitative analysis using SQL
Write SQL using LAG(), NTILE(), OVER, PARTITION logic and many more analytics functions
Understand Primary and Foreign keys
Understand the difference between DML and DDL
Understand the relational database model
Make data driven decisions in your enterprise
Master all types of table joins (incl. Complex Apply joins)
Answer those gnarly interview questions, yes we will always have those !

Who Should Attend

Data Analysts and Data Scientists
Students
DBA's
New graduates
Technical marketing people
Those looking to acquire new skills
Research shows students don’t learn by hearing or seeing, they learn by doing, a model often called active learning.

Target Audiences

Data Analysts and Data Scientists
Students
DBA's
New graduates
Technical marketing people
Those looking to acquire new skills
Research shows students don’t learn by hearing or seeing, they learn by doing, a model often called active learning.

With so much data stored in SQL databases, how can we get at it ?

You use SQL to get at this data, no matter what the SQL Database product is (e.g SQL Server, Oracle and many more).

Coding SQL to analyse data can be a daunting and complex task, hence the reason for building this course.

In this course I will teach you how code SQL to perform data analysis in order to answer complex questions that you will encounter daily in your job.

Ask yourself these simple questions …

Do you know all of the TABLE JOIN types that can be applied in a SQL query ?

Have you ever used OUTER APPLY, which is so easy and powerful to use ?

Can you write a running total in a single line of SQL ?

Where do you use a ROLLUP statement and why would you use it ?

What is LAG() ?

If you could not answer these simple questions then this course will definitely change all of that for you.

You definitely should know all of this to survive the SQL environment you work in !

All course materials are provided e.g. Sample databases (with real data), code scripts, practice exercises and quizzes.

Don’t forget, there is a 30 Day money back guarantee if this course does not deliver what you expected.

Stay safe and well

Best Regards

Paul

Data Analyst and Visualisation Engineer

Course Curriculum

Chapter 1: Getting started

Lecture 1: Introduction

Lecture 2: How to download and install SQL Server 2014 Express

Lecture 3: How to download the course sample data (From Here)

Lecture 4: Navigating SQL management studio

Lecture 5: What is a relational database ?

Chapter 2: Chapter 2 – SQL Basics

Lecture 1: The anatomy of a SQL Query (Primer)

Lecture 2: Download chapter 2 sample database and restore it via the SQL Management Studio

Lecture 3: The SELECT statement

Lecture 4: The SELECT statement with a WHERE predicate (Condition)

Lecture 5: Let's explore GROUP BY and HAVING to answer a marketing team question

Lecture 6: What are data types ?

Chapter 3: Chapter 3 – Forming relationships using JOIN's

Lecture 1: Download chapter 3 sample database and restore it via SQL management studio

Lecture 2: Overview of Chapter 3 database and the PK,FK model

Lecture 3: Working with the INNER JOIN (JOIN) statement

Lecture 4: Working with the LEFT OUTER join

Lecture 5: Working with the RIGHT OUTER join

Lecture 6: Working with the FULL OUTER join

Lecture 7: Working with the CROSS join

Lecture 8: Working with the SELF join (Overview)

Lecture 9: Working with the SELF join (Providing initial insight)

Lecture 10: Working with a SELF join (Add value to the insight)

Lecture 11: Working with a SELF join (Finally the last join)

Lecture 12: A CROSS join can be your buddy (Pt 1)

Lecture 13: A CROSS join can be your buddy (Final)

Lecture 14: Working with CROSS and OUTER APPLY (Pt1)

Lecture 15: Working with CROSS and OUTER APPLY (Pt2)

Lecture 16: Working with CROSS and OUTER APPLY (Final)

Chapter 4: Getting started with SQL for quantitative analytics

Lecture 1: Download chapter 4 insurance database and restore it via SQL management studio

Lecture 2: Counting by using Count() and OVER()

Lecture 3: Adding it all up using the Sum() function

Lecture 4: Finding the mean with the Avg() function

Lecture 5: Using Min() to find first value

Lecture 6: Using Max() to find the last value

Lecture 7: Just how do we calculate a median value ?

Lecture 8: Using the CASE…END statement (if,then,else)

Lecture 9: Show me how to calculate quartiles

Chapter 5: Immerse yourself into SQL analytics project scenarios

Lecture 1: Download and restore the sample Web Analytics database (and scripts)

Lecture 2: Project 1 – Website visitor analysis

Lecture 3: Project 2 – Insurance claims margin analysis

Lecture 4: Project 3 – Ranking customers and products by sales

Lecture 5: Project 4 – Category performance analysis (time series)

Chapter 6: SQL How To Sessions – Coding more advanced SQL analytics

Lecture 1: What is cohort analysis ?

Lecture 2: How do I do cohort analysis in SQL (Pt 1) ?

Lecture 3: How do I do cohort analysis in SQL (Pt 2) ?

Lecture 4: How to analyse customer acquisition in SQL (Pt 1) ?

Lecture 5: How to analyse customer acquisition in SQL (Pt 2) ?

Chapter 7: Other stuff you probably should know

Lecture 1: Create database and a table from scratch

Lecture 2: Creating a table from a SQL Query

Lecture 3: How to create a view

Lecture 4: What is a Union query ?

Lecture 5: How to code the insert statement (crud 1)

Lecture 6: How to code the update statement (crud 2)

Lecture 7: How to code the delete statement (crud 3)

Lecture 8: What is date arithmetic and how to code it ?

Lecture 9: Using the case statement to discretize (aka Banding,Bucketizing) data

Lecture 10: How to import raw data from files

Lecture 11: How to obtain your certificate

Chapter 8: Qlik Sense Desktop Installation

Lecture 1: How to download/install Qlik Sense desktop and get the unlock file.

Instructors

Paul Scotchford
Data Analyst and Qlik Development Specialist @ awari

Rating Distribution

1 stars: 11 votes
2 stars: 12 votes
3 stars: 95 votes
4 stars: 347 votes
5 stars: 574 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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