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Artificial Intelligence
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FinTech Foundations and Overview
Mathematical and Computational Methods
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Comprehensive exploration of software testing techniques, covering structural, data flow, logic, and functional approaches, with practical applications using tools like JUnit and methodologies for various software types.
Master advanced supply and demand forex trading strategies, including Fibonacci pullbacks, risk management, and technical analysis to maximize profits and minimize losses.
Learn to integrate Google Pay into your web application with step-by-step guidance, from sign-up to deployment, including best practices and tips for a smooth implementation process.
Explore psycho-oncology integration in cancer care, covering psychosocial factors, pain management, therapy options, and distress screening to enhance patient support and treatment outcomes.
In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.
Discover the world of cybersecurity and its impact, as you uncover the most common threats, attacks and vulnerabilities.
Master Python algorithms and Big-O complexity while building skills to write performant code, tackle technical interviews, and understand fundamental computer science concepts.
Explore epidemiology's role in public health, from problem-solving methodologies to data analysis. Learn to identify issues, propose solutions, and evaluate interventions using reliable health data and indicators.
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
Explore types, sources, and levels of conflict, discover positive aspects, and develop effective management strategies for improved employee engagement and performance.
Understand the tools and the methodologies used to get an overview of Web Penetration Testing using Kali Linux.
Explore network analysis using NetworkX, covering connectivity, centrality, and network evolution. Learn to model real-world phenomena as networks and apply analysis techniques to various datasets.
Explore strategies for evaluating trustworthiness, handling disagreements, and approaching religious discussions with an open mind. Develop intellectual humility to navigate complex social and philosophical challenges.
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academ…
Explore computational principles of vision, sensory-motor control, learning, and memory. Gain hands-on experience with neural encoding, decoding, and network models using Matlab/Octave/Python.
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