Advanced Applied SQL for Business Intelligence and Analytics

Advanced Applied SQL for Business Intelligence and Analytics, available at $34.99, has an average rating of 3.95, with 21 lectures, based on 55 reviews, and has 212 subscribers.

You will learn about Put SQL to work for Business Intelligence Develop your SQL skills to advance your career Master advanced topics such as materialized views, common table expressions, advanced data grouping, and more! Bring data into Excel, Tableau or other business software for further analysis and visualization Uncover key insights about your customers, suppliers, and business performance Use your database to make crucial business decisions and grow the bottom line Avoid common mistakes that cost you credibility and time. This course is ideal for individuals who are The course is for analysts and developers. It is particularly useful for The course is for analysts and developers.

Enroll now: Advanced Applied SQL for Business Intelligence and Analytics

Summary

Title: Advanced Applied SQL for Business Intelligence and Analytics

Price: $34.99

Average Rating: 3.95

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Put SQL to work for Business Intelligence
Develop your SQL skills to advance your career
Master advanced topics such as materialized views, common table expressions, advanced data grouping, and more!
Bring data into Excel, Tableau or other business software for further analysis and visualization
Uncover key insights about your customers, suppliers, and business performance
Use your database to make crucial business decisions and grow the bottom line
Avoid common mistakes that cost you credibility and time.

Who Should Attend

The course is for analysts and developers.

Target Audiences

The course is for analysts and developers.

This example-driven course provides thoughtful and interactive commentary throughout. We understand the common mistakes and misconceptions you might make and help you navigate tricky SQL concepts.
Window Functions are used in detail throughout the course to solve problems dealing with finding the first order or the Nth instance of an event, computing the timing between events, and new and repeat purchase behaviors among customers. You’ll run through the workflow from SQL to a localhost connection in Tableau and also analysis, all of which you’ll need in your professional life. Concepts such as CASE statements, common table expressions, and subqueries will be explained via case studies. You’ll generate web analytics acquisition source data using Python and then create tables to store your information.
By the end of the course, you will have gone through all the examples and coded them out, and you’ll be ready to confidently tackle non-trivial problems. Supercharge your data productivity today with this course and get 100x your time investment back in the next year or two!

About the Author

Jeffrey James has been working in the analytics and data space since 2006. With roots in digital marketing and web analytics, he’s applied analytical techniques to problems including customer value analysis, financial forecasting, machine learning, and process automation. He’s made his share of mistakes on the way to mastery and understands the mindset of a beginner/learner.

Course Curriculum

Chapter 1: Installing Postgres and Our Initial Dataset

Lecture 1: The Course Overview

Lecture 2: Installation on Windows and Mac Via Postgres App

Lecture 3: Installing pgAdmin

Lecture 4: Downloading and Restoring the DVD Rental Database

Chapter 2: SQL in the Real World and Customer Value Analysis

Lecture 1: Finding First Orders

Lecture 2: The Window Function ROW_NUMBER() and Using a CTE to Find First Orders

Lecture 3: Analyzing New Versus Repeat Buyer Behavior

Lecture 4: Customer Value Analysis/LTV Case Study Part One

Lecture 5: Customer Value Analysis/LTV Case Study Part Two

Chapter 3: Time between Events and Mastering Window Functions

Lecture 1: The LAG Function

Lecture 2: Time between Customer Orders

Lecture 3: Analyzing Our Time Since Behavioral Data

Lecture 4: NTILE Window Function

Chapter 4: Freeform Analysis of the DVD Rental Database

Lecture 1: First Orders

Lecture 2: Does First Rating Rented from Predict Lifetime Value?

Lecture 3: Top Five Highest Grossing Actors

Lecture 4: Films by Most Gross Revenue Per Actor

Chapter 5: Additional Advanced Analysis of the Database

Lecture 1: Cross Shopping

Lecture 2: Computing LTV Summary Metrics Using Correlate Subqueries

Lecture 3: CPA and Profitability Analysis Project – Part One

Lecture 4: CPA and Profitability Analysis Project – Part Two

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 4 votes
2 stars: 4 votes
3 stars: 10 votes
4 stars: 13 votes
5 stars: 24 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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