12 053 cours
Cypress is a complete end-to-end test automation tool built to test modern-day web applications. It is capable of automating both UI and API. This project is for beginner's in Cypress
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This course is designed to equip you with the skills necessary to protect and harden Linux distributions such as Debian, Ubuntu, CentOS, SUSE, and Arch. Through five engaging lessons, you'll delve into the essentials of Linux security, learning to implement in-depth defense strategies and understand the CIA triad. Master the art of updating Linux systems to mitigate vulnerabilities, and gain proficiency in managing services to balance system availability and security. You'll also explore techniques to harden various Linux distributions both on-premises and in the cloud. Finally, enhance your knowledge with application and GRUB security, focusing on tools like AppArmor and SELinux. By the end of this course, you'll be adept at safeguarding your Linux environments, ensuring they remain robust and resilient against threats.
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At the end of this project, you will be able to customize your formatting in Microsoft Excel. You will also be able to use basic conditional formatting to ensure a seamless use of Microsoft Excel and to highlight important sections of your sheet. Being able to use custom and conditional formatting in Microsoft Excel will allow you to make sense of the data quickly. This allows you to visualize your data and make it easier for you and for others to understand the data. This becomes more important the more data is contained in the sheet. The goal of this project is to allow you to visualize your data for yourself and others using Microsoft Excel.
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The Risk Management Framework (RMF) provides a disciplined, structured and flexible process for managing security and privacy risk. It includes information security categorization; control selection, implementation and assessment; system and common control authorizations; and continuous monitoring. It includes activities to prepare organizations to execute the framework at appropriate risk management levels. This learning path explains the RMF steps and its processes (aka tasks) which link essential risk management processes at the system level to risk management processes at the organization level. This learning path explains the Risk Management Framework (RMF) and its processes and provides guidance for applying the RMF to information systems and organizations.
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This course delves into the integration of artificial intelligence (AI) within healthcare, focusing on patient data management. Learners will explore the ethical and policy considerations surrounding AI applications in clinical and public health settings. The course emphasizes the significance of data quality and the potential impact of bias on clinical decision support systems. Participants will gain hands-on experience with AI and machine learning tools, including natural language processing (NLP) applications for clinical note summarization. Additionally, the course covers the integration of AI with electronic health records (EHRs) and clinical decision support systems, equipping learners with the knowledge to leverage AI for improved patient outcomes.
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In this Network Security Fundamentals course you will gain an understanding of the fundamental tenants of network security and review the general concepts involved in maintaining a secure network computing environment. Upon successful completion of this course you will be able to describe general network security concepts and implement basic network security configuration techniques.
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In this course, you will learn the neuroscience of change, why we are so change-averse, how to train for change resilience, and most importantly, you will begin developing a practice to help you be prepared for changes in personal life and in your career. You will learn specific strategies and tools for overcoming fear, anxiety and managing stress related to these changes. By the end of this course, you will know what you need to do to become truly unshakable. You will build a practice for getting stronger emotionally and mentally. By understanding neuroscience and building awareness of yourself, you will build a solid foundation for understanding your team and the greater behavior of the business world. Remember, these changes won’t happen if you don’t take action. You might be uncomfortable, you might find some of the exercises silly, you might have doubts, and you might want to quit. Babies don’t quit trying to walk because they fall a lot, and neither should you. The only way to truly change is to practice consistently.
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Whether you're creating content, leading a team, or shaping policy, this course will help you use generative AI responsibly and ethically. You’ll explore Adobe’s AI principles of transparency, accountability, and responsibility and discover how they’re built into tools like Adobe Firefly. You’ll learn strategies to ensure content authenticity, mitigate bias, apply inclusive design practices, and create content that’s safe for commercial use. Through real-world scenarios and practical guidance, you’ll develop the skills to evaluate AI-generated content, collaborate with stakeholders, and uphold ethical standards in your creative workflows.
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Nossas boas-vindas ao Curso Análise de Dados Quantitativos. Neste curso, serão discutidas as principais técnicas de análise de dados, para que você tenha uma visão geral das opções que estão disponíveis para o planejamento da pesquisa de mercado e a obtenção de análises que realmente respondam às questões de pesquisa de mercado colocadas no momento do planejamento e desenho da pesquisa. Ao final deste curso, você será capaz de atuar na análise de cenários complexos de mercado, ao identificar técnicas de análise quantitativa adequadas e aplicá-las para o resumo e interpretação dos dados, auxiliando a construção e validação de modelos envolvendo consumidores, concorrentes, setor, produtos e serviços, entre outras variáveis de mercado, para a tomada de decisão estratégica de marketing. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
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Learn how to analyze penny stock markets, apply structured trading strategies, and manage risk effectively in high-volatility trading environments. This course provides practical skills in penny stock trading, short selling, trend analysis, trading psychology, and disciplined decision-making used in real-world trading scenarios. The course begins with the foundations of penny stock trading, including market structure, price behavior, volatility patterns, and the major factors that influence low-priced securities. Learners will understand the opportunities and risks associated with penny stocks and how short selling strategies operate in volatile market conditions. As the course progresses, learners examine structured trading systems, trading plans, trend analysis, and market timing strategies. The course emphasizes disciplined and rule-based trading approaches that help traders improve consistency and decision-making in fast-moving markets. Advanced modules focus on trading psychology, emotional control, paper trading, risk management, and advanced short selling techniques. Learners will strengthen their ability to manage losses, maintain discipline, and apply structured trading rules in unpredictable trading environments. The course also includes real-world penny stock case studies from global and Indian markets, helping learners connect theoretical concepts with practical market applications. By the end of the course, learners will be able to design effective trading plans, analyze volatile market conditions, apply disciplined trading strategies, and make informed trading decisions confidently.
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Data reshaping is a crucial skill for any data analyst, and in this course, you'll master tidyr, R's powerful tool for restructuring data. You'll learn how to efficiently transform data between wide and long formats, a common requirement when preparing data for analysis or visualization. Through hands-on exercises using real-world examples, you'll practice essential techniques for reorganizing your data, from simple format conversions to complex column manipulations. This course combines theoretical understanding with practical application, ensuring you'll be confident in handling various data reshaping challenges.
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Master the 8Ps of service marketing and learn how to design customer-centric strategies that improve service quality, satisfaction, and business performance. This course provides a comprehensive and practical approach to service marketing by covering all elements of the 8Ps framework—Product, Price, Place, Promotion, People, Process, Physical Evidence, and Productivity. You will learn how to design competitive service strategies, manage service encounters, and enhance customer experience in real-world business environments. You will explore key service marketing models such as the Service Marketing Triangle, SERVQUAL, GAP Model, and E-SQUAL to evaluate service quality and identify performance gaps. The course also focuses on pricing decisions, distribution strategies, and integrated promotion techniques tailored for service industries. In addition, you will learn how to manage people, optimize processes, and use physical evidence to create strong service impressions while maintaining productivity and efficiency. By the end of the course, you will be able to apply structured service marketing frameworks, improve customer satisfaction, and build sustainable service strategies for long-term business growth.
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