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Master Hiring Process Analytics Using Excel - Part 2 (Tasks Only) 🎉

Welcome to Kuttuzen Tips, your ultimate destination for making data analytics simple and practical. 🚀 In this 48-minute video, we dive into Part 2 of the Hiring Process Analytics project, focusing on the practical tasks that will enhance your skills in data cleaning, analysis, and visualization using Microsoft Excel.

📋 What’s Inside This Video?
This video covers the hands-on tasks of analyzing hiring process data. Learn how to:

Analyze Gender Distribution: Determine how many males, females, and others were hired.
Conduct Salary Analysis: Calculate the average salary offered and hired.
Examine Salary Distribution: Use class intervals to visualize salary ranges.
Explore Departmental Composition: Create insightful graphs to analyze department proportions.
Understand Position Tiers: Discover the distribution of hires across various job tiers.
This project uses a dataset with 7,167 entries, containing columns like Application ID, Gender, Department, Post Name, and Offered Salary.

📊 Key Objectives and Results
Gender Distribution:

Female Hires: 1,856
Male Hires: 2,563
Prefer Not to Say: 278
Total Hires: 4,697
Average Salary:

Offered Salary: ₹49,899.30
Hired Salary: ₹49,625.13
Department Insights:

Largest: Operations (39.24%)
Smallest: Human Resources (1.49%)
Position Tier Insights:

Most Hires: c9 tier (1,240 employees)
Least Hires: n6 tier (1 employee)
🛠️ Tools and Techniques
Software: Microsoft Excel 2021
Methods:
COUNTIFS for category counts
Pivot tables for detailed breakdowns
Outlier handling with Box & Whisker method
Advanced charting for visualization
📌 Video Links
📽️ Part 1: Introduction to Hiring Process Analytics
📽️ Part 2 (This Video): Hiring Process Analytics Tasks

Other Projects by Kuttuzen Tips:
📽️ Project 1: Data Analytics
📽️ Project 2: Instagram User Analytics
📽️ Project 3: Operational Analytics - Metric Spikes Investigation

🌟 Why Kuttuzen Tips?
Our channel simplifies data analytics for learners of all levels. Through real-world projects, we help you gain confidence in Excel and data analysis.

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