Certificate in Speech Analytics for Data Scientists
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โข Introduction to Speech Analytics: Understanding the basics and importance of speech analytics in data science.
โข Speech Recognition Technologies: Exploring the technologies and techniques used to convert speech to text.
โข Natural Language Processing (NLP): Learning about text processing and analysis for sentiment, emotion, and intent detection.
โข Data Mining and Analytics: Exploring data mining techniques and tools for extracting insights from speech data.
โข Machine Learning for Speech Analytics: Understanding how machine learning algorithms can be applied to speech data.
โข Speech Analytics Applications: Exploring real-world applications of speech analytics in business and industry.
โข Ethics and Privacy in Speech Analytics: Understanding the ethical and privacy considerations in working with speech data.
โข Speech Analytics Tools and Software: Familiarizing with popular speech analytics tools and software.
โข Case Studies in Speech Analytics: Studying real-world examples of successful speech analytics implementations.
โข Future Trends in Speech Analytics: Exploring the latest trends and developments in speech analytics research and technology.
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