Linkedin Learning – Hands-On Data Science 1 Analyzing Employee Data with SQL-XQZT
English | Size: 568.21 MB
Category: Tutorial
Build an SQL project from start to finish in this first installment of a four-part data science series
If you’re interested in working in the field of data or looking to advance in the field, you need a foundational knowledge of several key areas of data science. Not only that, you need to be able to demonstrate that knowledge. In this four-part, hands-on series, Ben Sullins shows how to build four distinct data science projects using SQL, Tableau, Python, and Spark. In this first installment, Ben uses SQL to analyze employee data, which is notoriously difficult to analyze given its structure. He breaks down the specific structure of employee data, and the best way to track this kind of information, then covers how you can start answering specific questions utilizing SQL. Finally, he gives advice on how to present your data, considering both your audience and the visuals you use, in order to convey your knowledge of the subject.
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Linkedin.Learning.Hands-On.Data.Science.1.Analyzing.Employee.Data.with.SQL-XQZT
Title: Hands-On Data Science: 1 Analyzing Employee Data with SQL
Publisher: Linkedin Learning
Category: N/A
Size: 573M
Files: 12F
Date: 2021-08-30
Course #: 2427569
Published: Linkedin.Learning
Updated: N/A
Author: Ben Sullins
Duration: 0:44:56
Exer/Code:
RAPIDGATOR
rapidgator.net/file/f471b380658ad3d83c653bbfbdf6d498/Linkedin.Learning.Hands-On.Data.Science.1.Analyzing.Employee.Data.with.SQL-XQZT.rar.html