Executive Development Programme in Audio Data Analytics
-- ViewingNowThe Executive Development Programme in Audio Data Analytics is a certificate course designed to empower professionals with the essential skills needed to thrive in today's data-driven world. This program focuses on the analysis and interpretation of audio data, a critical and rapidly growing field in the industry.
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⢠Introduction to Audio Data Analytics: Understanding the basics of audio data analytics, its applications, and the importance of data-driven decision making.
⢠Data Collection Techniques: Techniques for collecting audio data, including microphone arrays, smart devices, and other data sources.
⢠Signal Processing: Overview of signal processing techniques for audio data, including filtering, Fourier analysis, and wavelet transforms.
⢠Feature Extraction: Techniques for extracting relevant features from audio data, including spectral features, Mel-frequency cepstral coefficients (MFCCs), and chroma features.
⢠Machine Learning Algorithms: Overview of machine learning algorithms used in audio data analytics, including supervised and unsupervised learning techniques.
⢠Deep Learning Models: Introduction to deep learning models for audio data analytics, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
⢠Evaluation Metrics: Techniques for evaluating the performance of audio data analytics models, including accuracy, precision, recall, and F1 score.
⢠Ethical Considerations: Discussion of ethical considerations in audio data analytics, including privacy, consent, and bias.
⢠Case Studies: Real-world case studies of audio data analytics applications, including speech recognition, music information retrieval, and sound event detection.
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