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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.
Assess your mastery of critical success skills like effective communication, agile methodologies, teamwork, and problem-solving through real-life scenarios in this comprehensive final evaluation.
Develop server-side apps with Node.js and Express. Learn asynchronous programming, REST APIs, CRUD operations, authentication, and session management through hands-on labs and a final project.
Design and implement a robust JavaScript backend application with Express, MongoDB, and advanced features like RESTful APIs, authentication, and cloud deployment using Kubernetes.
Comprehensive introduction to BI concepts, components, and implementation. Covers data ecosystems, analytics, ETL, statistical analysis, and data visualization. Includes hands-on activities for practical application.
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