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

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Linkedin - Hands-On Data Science - 1 Analyzing Employee Data with SQL (Size: 555.1 MB)
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  [1] How to use this course.mp4 12 MB
  [1] How to use this course.srt 3.3 KB
  [1] Introduction and setup.mp4 23.5 MB
  [1] Introduction and setup.srt 2.6 KB
  [1] Welcome to hands-on data science.mp4 26.1 MB
  [1] Welcome to hands-on data science.srt 2.7 KB
  [2] Employee data structure.mp4 63.4 MB
  [2] Employee data structure.srt 9.4 KB
  [2] What you will learn.mp4 8.7 MB
  [2] What you will learn.srt 6.8 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
  dates.csv 345.4 KB
  employees.csv 69.3 KB
  sql-fundamentals-1.txt 716.8 B
  sql-fundamentals-2.txt 1.8 KB
  ▲ 20 total files

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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