Data-Driven Decision Making in SQL

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course will show you how to use SQL to aid your decision-making. The course is based on a case study about an online movie rental company that maintains a database with customer information, movie ratings, background information regarding actors, and other information. SQL queries can be used to analyze customer preferences, customer involvement, sales development, or any other purpose. This course also contains SQL extensions for online analysis processing, (OLAP), that allow you to gain key insights using multidimensional aggregated data.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Intermediate SQL

What You Will Learn

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Learn how to analyze a SQL table and report insights to management

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You will learn to apply SQL queries to study for example customer preferences, customer engagement, and sales development

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This course also covers SQL extensions for online analytical processing (OLAP), which makes it easier to obtain key insights from multidimensional aggregated data

Course Instructors

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Bart Baesens

Professor in Analytics and Data Science at KU Leuven

Bart Baesens is professor in Analytics and Data Science at the Faculty of Economics and Business of KU Leuven, and a lecturer at the University of Southampton (UK). He has done extensive research...
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Tim Verdonck

Professor at KU Leuven

Tim Verdonck is a professor in Statistics and Data Science at the Department of Mathematics of KU Leuven (Belgium). He is also a visiting professor at the School of Economics, Management and Statisti...
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Irene Ortner

Consultant @ Applied Statistics

Irene did her PhD in Statistics at Vienna University of Technology. During a postdoc at KU Leuven she focused in her research on fraud and anomaly detection with statistical and machine learning tool...

Course Reviews

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