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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Explore key cloud security concepts, from confidential computing to DDoS attacks, and learn about IBM's solutions for data protection, DevSecOps, and emerging technologies.
Gain practical experience in data pipelines, experiments, recommendation systems, and more. Develop essential skills in software engineering, data engineering, and experimental design for a successful data science career.
Learn SQL basics, relational databases, and advanced concepts through hands-on exercises. Master essential SQL statements, join operations, and data manipulation techniques for effective database management.
Dive into Machine Learning with Python, covering supervised and unsupervised learning, regression, classification, and clustering. Gain hands-on experience using SciPy and scikit-learn libraries.
Want to take the first steps to become a Cloud Application Developer? This course will lead you through the languages and tools you will need to develop your own Cloud Apps.
Explore data science fundamentals, applications, and career paths. Learn about big data, machine learning, and how organizations leverage data-driven insights for business success and societal impact.
Comprehensive program covering essential data science skills, tools, and methodologies. Develop expertise in Python, SQL, machine learning, and data visualization. Build a portfolio and prepare for a career in this high-demand field.
Explore cybersecurity fundamentals, threats, and defenses. Learn critical thinking, malware protection, IAM, and physical security. Gain practical skills through labs and expert insights for a career in cybersecurity.
Explore computer vision fundamentals, image processing, machine learning classification, neural networks, and object detection. Build and deploy a custom traffic sign classifier using Python, OpenCV, and cloud technologies.
Explore essential data science tools, languages, and platforms. Gain hands-on experience with Jupyter, RStudio, Git, and more. Develop practical skills for data analysis, visualization, and collaboration.
Learn Python for data science, AI, and development. Master basics, data structures, programming fundamentals, data manipulation, and APIs. Gain practical skills through hands-on labs using Jupyter Notebooks.
Comprehensive introduction to AI fundamentals, applications, and hands-on experience with IBM Watson services. Explore machine learning, deep learning, and build an AI chatbot without coding.
Gain practical skills in AI development using Python, IBM Watson, and various AI technologies. Learn to create AI-powered applications and solutions for real-world scenarios.
Gain essential cybersecurity skills for a high-demand career. Learn network security, threat intelligence, incident response, and more through hands-on labs and real-world projects.
Develop essential project management skills, from initiation to completion, including Agile methodologies. Build a portfolio and prepare for CAPM certification in this comprehensive program.
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