Python for Data Analysis: (#1) Improve Call Center Performance with Data

In this video, I use Python for data analysis to examine Call Center Performance, focusing on Agent Performance Analysis. What You’ll Learn: How to analyze call center data using Python Evaluating agent performance with key metrics Identifying top-performing agents vs. underperforming ones Insights into call success rates, customer interactions, and productivity How to Install Anaconda to run Python: https://youtu.be/OdYf6qxxmPk?si=lpLH7njc03peB-PG Watch Health Care Analysis with Python: https://www.youtube.com/playlist?list=PLwIcJx1aSL1QypOxmmI584RnHbneup3Bs Download the Dataset here: https://drive.google.com/file/d/1eFZFIrdeKmHE0MAaf1zz2tx7Wq4mHiPN/view?usp=sharing Full Python Call Center Analysis Playlist: https://www.youtube.com/playlist?list=PLwIcJx1aSL1RgHw9gB3VbqiAhfxBr7Xmw Tools & Libraries Used: • pandas • numpy • seaborn • matplotlib Watch till the end to see how data-driven insights can help optimize call center operations and improve sales & customer service! 🔔 Subscribe for more Python & Data Analysis content! #Python #DataAnalysis #CallCenter #SalesPerformance #AgentAnalysis #Marketing #MachineLearning