Linkedin - Hands-On Data Science - 1 Analyzing Employee Data with SQL

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[ FreeCourseWeb.com ] Linkedin - Hands-On Data Science - 1 Analyzing Employee Data with SQL
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here !
    • Bonus Resources.txt (0.3 KB)
    • Ex_Files_Hands_On_Data_Sci_1 Exercise Files
      • dates.csv (345.4 KB)
      • employees.csv (69.3 KB)
      • sql-fundamentals-1.txt (0.7 KB)
      • sql-fundamentals-2.txt (1.8 KB)
      [1] Introduction
      • [1] Welcome to hands-on data science.mp4 (26.1 MB)
      • [1] Welcome to hands-on data science.srt (2.7 KB)
      [2] 1. Hands-On Data Science
      • [1] How to use this course.mp4 (12.0 MB)
      • [1] How to use this course.srt (3.3 KB)
      • [2] What you will learn.mp4 (8.7 MB)
      • [2] What you will learn.srt (6.8 KB)
      [3] 2. Analyzing Employee Data with SQL
      • [1] Introduction and setup.mp4 (23.5 MB)
      • [1] Introduction and setup.srt (2.6 KB)
      • [2] Employee data structure.mp4 (63.4 MB)
      • [2] Employee data structure.srt (9.4 KB)
      • [3] Querying employee data with SQL.mp4 (366.4 MB)
      • [3] Querying employee data with SQL.srt (48.5 KB)
      • [4] Presenting your analysis.mp4 (54.5 MB)
      • [4] Presenting your analysis.srt (7.7 KB)

Description

Hands-On Data Science: 1 Analyzing Employee Data with SQL



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 44m | Size: 509.9 MB
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 nstrate 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 - Hands-On Data Science - 1 Analyzing Employee Data with SQL


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555.1 MB
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Linkedin - Hands-On Data Science - 1 Analyzing Employee Data with SQL


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