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Building a Call Center Analytics Pipeline in Python

Data Professor via YouTube

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Overview

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Learn how to create an end-to-end call center analytics workflow using Assembly AI and Python in this 29-minute tutorial video. Walk through the complete process of transcribing audio, identifying speakers, analyzing sentiment, and visualizing results with heat maps. Master key concepts including API integration, natural language processing, and data visualization techniques to extract meaningful insights from call center conversations. The tutorial provides a GitHub repository with all necessary code and instructions for obtaining a free API key from AssemblyAI to implement your own call center analytics pipeline.

Syllabus

Building a Call Center Analytics Pipeline in Python

Taught by

Data Professor

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