Workforce Development & Community Education - Fall 2024 - Summer 2025 - NON-CREDIT CATALOG
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CE-COMP 2239 - Introduction to Data Science and Machine Learning
This hands on, project-based course aims to serve as a foundation for building real world applications with Machine Learning capabilities and as a starting point for a career as a well-rounded data practitioner. The course is offered in three successive modules: fundamentals, deep learning, and CompTIA DataX.
The fundamentals module focuses on key foundational concepts related to Data Science and Machine Learning using the Python programming language. Students will learn the fundamentals of problem solving, statistical algorithms, and basic machine learning models using Jupyter Notebooks within the Anaconda development environments.
The deep learning module focuses on implementing algorithms using the Python programming language and the PyTorch and Tensorflow deep learning libraries to implement projects related to classification, image recognition and natural language processing using the Anaconda and Google Colab development environments.
The CompTIA DataX module supplements and extends the prior modules and will help prepare the student to pass the CompTIA DataX (DY0-001) Certification Exam. This certification can broaden knowledge for a diverse range of career paths, creating opportunities for advancement and specialization in the rapidly evolving data science industry. With CompTIA DataX, possible career paths include data scientist, quantitative analyst, machine learning engineer/specialist, predictive analyst, and artificial intelligence (AI) engineer.
Location Valhalla
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