TRAINITY PROJECT 3 PART 1/ Operation Analytics and Investigating Metric Spike / DATA ENTRY JOB

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Project 3: Operational Analytics & Metric Spike Investigation | Advanced SQL Tutorial (Part 1: Case Study 1) | Kuttuzen Tips

Welcome back to Kuttuzen Tips! In this video, Eldhose kicks off Part 1 of Trainity Data Analytics Project 3: Operational Analytics and Investigating Metric Spikes. Over 35 minutes, you'll dive into Case Study 1, where we explore essential SQL techniques for analyzing operational metrics, with real-world insights that benefit support, marketing, and operations teams.

Project Overview (Part 1): In Part 1, we focus on Case Study 1 and tackle job data analytics. Acting as a Lead Data Analyst, you’ll examine key metrics, uncover patterns, and troubleshoot potential spikes in operational data. Using advanced SQL with MySQL Workbench, Eldhose demonstrates crucial SQL strategies to help drive insights in real-world business scenarios.

Case Study 1 Tasks:

Jobs Reviewed Over Time: Calculate hourly job reviews for each day in November 2020.
Throughput Analysis: Determine a 7-day rolling average throughput, comparing it with daily metrics for efficiency insights.
Language Share Analysis: Find language distribution percentages over the past 30 days.
Duplicate Detection: Identify duplicate records in the dataset.

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Stay tuned for Part 2, where we’ll tackle Case Study 2 with a fresh set of tasks to further your SQL and operational analytics expertise.

Join Eldhose to strengthen your SQL skills, uncover data-driven insights, and master operational analytics!

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Courtesy:
Music used in this video: The Sluts With Nuts by Mike and Ron Jam. Sourced from Free Music Archive, licensed under CC BY.

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