Data-Driven Decision Making in SQL

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Course Report - Data-Driven Decision Making in SQL

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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 is designed to teach you how to utilize SQL to make informed decisions. The course is centered around a case study involving an online movie rental company that maintains a database with various customer information, movie ratings, and actor background information. SQL queries can be used to analyze customer preferences, sales development, and more. Additionally, the course covers SQL extensions for online analysis processing (OLAP), which allow for the exploration of multidimensional aggregated data. By taking this course, you will gain valuable insights into data-driven decision-making and learn how to use SQL for data analysis effectively.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 20 Percentile

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Hands on training

This course stands out as one of the top 20 percentile options in Relational Database, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Relational Database, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Relational Database.

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

Intermediate SQL

What You Will Learn

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

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

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

Average Rating Based on 3 reviews

5.0

100%

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