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Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively. You will be introduced to the modern data ecosystem, consisting of databases and other data sources within and outside your organization. You will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel. You will examine different data sets, load them into the spreadsheet, and employ techniques like summarization, sorting, filtering, & creating pivot tables. Creating stunning visualizations is a critical part of communicating your data analysis results. You will use Excel spreadsheets to create the many different types of data visualizations such as line plots, bar charts, pie charts. You will also create advanced visualizations such as treemaps, scatter charts & map charts. You will then build interactive dashboards quickly and easily with IBM Cognos Analytics. This Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, who need basic data analysis and visualization skills to supplement their primary job tasks.

This Specialization is intended for new or pivoting Data Analysts, seeking to add Teradata Vantage to their role. These courses will get new users up and running and will also leverage the instructor's deep experience in Business Intelligence to provide real-world situations and practical examples. You'll learn concepts, practice hands-on SQL queries, and see them applied in a real business context. The specialization is designed for Business, Marketing, or Operations Analytics. Concepts and tools like SQL, aggregate functions, joins, subqueries, data-driven decisions, data management, analytics, and business insights are not only explained but brought to life with use cases and scenarios.

Especialización acelerada en línea de cinco semanas de duración, donde los participantes reciben una introducción práctica en el diseño y compilación de sistemas de procesamiento de datos en Google Cloud Platform. Usando una combinación de presentaciones, demostraciones y labs prácticos, los participantes aprenderán a diseñar sistemas de procesamiento de datos, compilar canalizaciones de datos de extremo a extremo, analizar datos y llevar a efecto funciones de aprendizaje automático. Este curso le enseñará las siguientes habilidades: • Diseñar y crear sistemas de procesamiento de datos en Google Cloud Platform • Aprovechar los datos no estructurados mediante Spark y las API de AA en Cloud Dataproc • Procesar los datos por lotes y de transmisión mediante la implementación de canalizaciones de datos de ajuste de escala automático en Cloud Dataflow • Generar estadísticas empresariales a partir de conjuntos de datos muy grandes mediante Google BigQuery • Entrenar, evaluar y predecir por medio de los modelos de aprendizaje automático con Tensorflow y Cloud ML • Extraer estadísticas al instante a partir de los datos de transmisión Este curso está dirigido a desarrolladores experimentados responsables de la administración de transformaciones de macrodatos. >>> Al inscribirse en esta especialización acepta los Términos de Servicio de Qwiklabs según lo establecido en las Preguntas Frecuentes, disponibles en el apartado: https://qwiklabs.com/terms_of_service <<<

Master the ethical and legal dimensions of artificial intelligence through comprehensive coverage of data privacy, responsible AI development, and regulatory compliance. This specialization equips professionals with practical frameworks for implementing ethical AI practices, conducting rights impact assessments, and navigating complex regulatory landscapes including EU AI Act and GDPR requirements. Develop essential skills for building trustworthy AI systems that protect user rights while meeting evolving legal standards.

This course focuses on advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. You'll learn to generate synthetic data, address privacy concerns and data limitations in your projects. Discover how to leverage AI to identify and resolve complex data quality issues, ensuring your datasets are primed for analysis. Upon completion of this course, you'll be able to: Generate synthetic data using generative AI models Implement advanced data cleaning techniques with AI assistance Optimize datasets for improved analysis efficiency Apply ethical considerations in data processing and synthetic data generation

Designed for aspiring data scientists, engineers, and researchers, this hands-on program guides you through the entire data science process—from acquiring and transforming real-world data to building, validating, and deploying machine learning models. Through engaging, example-driven lessons and practical exercises using Python and its robust ecosystem of libraries, you'll gain the essential skills to analyze complex datasets, extract actionable insights, and create impactful data-driven applications—no advanced math or statistics background required.

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. This specialization will equip you with the skills to master data structures and algorithms in Java, essential for acing coding challenges like those on LeetCode. You will learn to design efficient algorithms, solve complex problems, and understand core principles behind data structures like arrays, linked lists, trees, and stacks. The course begins with an introduction to Java programming, covering input/output operations and debugging. You'll then explore core data structures, including arrays, ArrayLists, and multidimensional arrays. The course also covers advanced topics such as bitwise operations, recursion, and sorting algorithms, followed by more complex structures like linked lists, binary trees, and binary search trees. LeetCode problems will reinforce these concepts throughout. This specialization is ideal for intermediate learners with basic programming knowledge, especially those preparing for technical interviews or aiming to strengthen their understanding of algorithms. By the end, you’ll be able to solve coding problems efficiently, optimize algorithms, and confidently approach technical challenges.

In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.

This specialization covers various essential topics such as fundamental tools, data collection, data understanding, and data preprocessing. This specialization is designed for beginners, with a focus on practical exercises and case studies to reinforce learning. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis. The final project will give students an opportunity to apply what they have learned and demonstrate their mastery of the subject.

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive deep learning course offers a practical journey from the basics to advanced concepts. It starts with perceptrons and neural networks, progressing through key topics such as backpropagation, convolutional neural networks (CNNs), and transfer learning. You'll gain hands-on experience with tools like TensorFlow and Keras, applying deep learning techniques to real-world applications such as medical image analysis and natural image classification. The course ensures you learn not only the theory but also how to build, train, optimize, and deploy neural networks. By the end, you'll have a robust portfolio of projects, showcasing your deep learning skills. Perfect for data scientists and ML engineers, this course requires a basic understanding of Python, mathematics, and ML algorithms. Whether you're advancing your AI career or starting your journey in data science, this course equips you with essential knowledge and practical expertise in deep learning.

In this specialization, you will embark on a structured journey to mastering DeepSeek, an advanced AI framework designed for building intelligent systems. The path begins with foundational principles, where you will explore DeepSeek's architecture, reasoning capabilities, and the art of prompting. Moving into practical applications, you'll engage in case studies and learn how to build AI systems powered by DeepSeek, gaining the skills to design real-world solutions. The final course will take you through advanced practices, including fine-tuning, optimization, and deployment of DeepSeek models for sophisticated applications such as legal reasoning. By completing this specialization, you will develop a comprehensive understanding of how to leverage DeepSeek's capabilities to create, enhance, and deploy intelligent systems across various domains. Whether you're interested in AI-driven automation, legal technologies, or enterprise solutions, this specialization prepares you for the challenges of developing next-generation AI applications. This Specialization is based on the book DeepSeek in Practice, by Andy Peng, Alex Strick van Linschoten, Duarte O.Carmo.

En esta Especialización, los participantes exploraron de forma integral la sostenibilidad en el deporte, abordando sus fundamentos conceptuales, los marcos internacionales, los retos ambientales y sociales, la gobernanza, la medición de impacto y las estrategias de largo plazo aplicadas a clubes y organizaciones deportivas. Como resultados de aprendizaje, desarrollaron una comprensión estratégica de la sostenibilidad, así como capacidades para analizar contextos, definir objetivos, seleccionar indicadores, impulsar acciones responsables y diseñar modelos de gestión más inclusivos, innovadores y sostenibles. El programa se vincula además con posibles socios del sector, como clubes, ligas, federaciones, organizadores de eventos, instituciones públicas, ONG y empresas comprometidas con la transformación sostenible del deporte.

Master derivatives trading, options strategies, futures, swaps, and forex risk management with practical, market-focused learning. Build the skills to analyze financial derivatives, price options, design trading strategies, and manage risk in real-world markets. This Specialization gives you a structured path to understanding how derivatives work and how they are used by traders, investors, businesses, and financial institutions. You will learn the mechanics of futures, options, forwards, swaps, and currency derivatives, along with their role in hedging, speculation, and financial decision-making. You will explore options trading strategies such as spreads, straddles, strangles, butterfly positions, and protective hedges. You will also learn key pricing concepts, including intrinsic value, time value, volatility, Black-Scholes, and option Greeks such as Delta, Gamma, Vega, and Theta. The program also covers forex risk management, currency futures, currency options, margin systems, clearing, settlement, and swap instruments used to manage financial exposure. By the end of this Specialization, you will be able to analyze derivatives markets, evaluate payoff structures, interpret pricing signals, and apply futures, options, swaps, and currency derivatives for trading and risk management.

This Specialization provides a comprehensive, project-based pathway to mastering professional mechanical design using SolidWorks. Through four industry-style case studies—a multi-utility tool, an internal combustion engine, a kids bicycle, and an oil tank system—learners apply parametric modeling principles, assembly strategies, motion validation, and design intent planning in realistic engineering scenarios. Rather than focusing on isolated commands, the program emphasizes structured workflows, feature planning, manufacturability, and mechanical functionality. By completing these end-to-end projects, learners develop practical, job-ready CAD skills aligned with modern mechanical and product design practices.

This Specialization, taught by Lucas Ridley, is intended for aspiring game designers, animators, and 3D artists seeking to develop real-time 3D game development skills. Through four hands-on courses, you will cover character creation, environment design, animation, and game logic using Unreal Engine. These skills will prepare you to build a fully playable 3D video game from start to finish.

This specialization provides a comprehensive path through the principles and methods of information architecture, from foundational knowledge to practical application. The first course, "Foundations of Information Architecture," covers the key principles, structural patterns, and organization schemes essential for any digital architecture project. It sets the groundwork for understanding how users seek information and how to create intuitive systems. The second course, "Research and Strategy for Effective Information Architecture," introduces research methods and strategies that inform design decisions. Learners will explore UX research methods, the structuring and classification of content, and how to define a strategic information architecture plan that supports both users' needs and business goals. The final course, "Designing Navigation and Search for Digital Experiences," focuses on navigation design and search functionality, which are critical in any digital experience. Through this course, you will learn to create clear, efficient navigation systems and integrate powerful search features that enhance user experience and accessibility. Each course builds upon the previous one, progressing from theory to hands-on application, ensuring that you develop both strategic and tactical skills in designing information architecture for digital platforms. This Specialization is based on the book Designing Information Architecture, by Pabini Gabriel-Petit.

This specialization offers a practical, hands-on journey into mastering DevOps and Site Reliability Engineering to build scalable, reliable, and automated cloud-native systems. Learn to implement CI CD pipelines, automate infrastructure using Terraform, and deploy containerized applications with Docker and Kubernetes. Explore modern monitoring and observability tools such as Prometheus, Grafana, and ELK while applying SRE practices like SLIs, SLOs, error budgets, and incident management to ensure high system reliability and performance. By the end of this program, you will be able to: - Automate Infrastructure: Build and manage cloud infrastructure using Terraform and IaC practices - Deploy Cloud Native Applications: Use Docker and Kubernetes for scalable containerized environments - Implement Monitoring and Observability: Track system health with Prometheus, Grafana, and logging tools - Apply SRE Practices: Improve system reliability with SLIs, SLOs, incident management, and chaos engineering Ideal for beginners, IT support professionals, DevOps engineers, system administrators, and aspiring Site Reliability Engineers looking to develop practical DevOps and reliability engineering skills for modern production environments.

This specialization provides learners with a structured journey to mastering Microsoft Azure development, progressing from essential cloud fundamentals to advanced integration strategies. The first course covers core application development in Azure, focusing on key concepts like Azure App Services, containerization, and serverless architecture. The second course delves into essential topics such as Cosmos DB, Blob Storage, and secure solution implementation, ensuring learners can develop and manage scalable and secure Azure applications. Finally, the third course introduces advanced topics in API management, event-driven solutions, and messaging, enabling learners to architect complex and scalable applications in Azure. By the end, learners will be prepared to implement end-to-end solutions, from storage and app services to API management, with practical, real-world knowledge. This Specialization is based on the book, Developing Solutions for Microsoft Azure AZ-204 Exam Guide, by Paul Ivey and Alex Ivanov.

This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These digital health technologies are assessed in terms of their opportunities and challenges to address real-world public health and health care system challenges in order to improve the quality, safety and efficiency of these services. The aim of this specialisation is to prepare learners for the new era of digitalisation in public health and health care globally. The design and implementation of digital health interventions aspect of this specialisation address topics to include design thinking, regulatory approaches, ethical considerations, technology adoption, implementation and strategy as applied to digital health. The evaluation component of this course focuses on data considerations in digital health, data management and the evaluation of digital health interventions with a focus on experimental and quasi-experimental design approaches to evaluation and the economic evaluation of digital health interventions.

In this Specialization, you’ll learn how to plan, execute, and measure digital marketing campaigns in a connected, data-driven world. You’ll treat marketing as strategic communication—choosing channels that match your audience, goals, and message timing across both traditional and digital media. You’ll also explore how emerging technologies like AI, the Internet of Things, and mixed reality are changing how brands reach and engage customers. You’ll then build an integrated campaign workflow: create a digital marketing communication plan, mix paid, earned, owned, and shared media, and evaluate the role of social platforms in viral and influencer campaigns. You’ll learn to measure performance by selecting KPIs, interpreting results, and analyzing ROI—while identifying and managing common risks in digital marketing. Finally, you’ll strengthen customer engagement and content execution. You’ll design content for environments where humans, algorithms, and generative AI all respond differently, and you’ll learn how paid, organic, and influencer efforts work together as an ecosystem. You’ll also develop practical content planning and management skills, including audience-based planning, content audits, and content governance.

This specialization builds the core discrete mathematics toolkit used throughout computer science, with a focus on logic, counting, algorithms, recursion, and probability. Learners develop rigorous problem-solving and reasoning skills that are essential for algorithm analysis, data structures, cryptography, and theoretical foundations of computing. Through practical examples and proofs, the courses emphasize how discrete mathematical concepts directly support efficient and correct algorithm design.

¿Sabes que los proyectos de desarrollo son cruciales para mejorar vidas y acelerar el desarrollo económico y social en América Latina y el Caribe?  A diario, los gobiernos, instituciones y actores que trabajan para promover el desarrollo económico y social en la región, se enfrentan a un gran reto: transformar propuestas en realidades concretas que mejoren el bienestar de la sociedad de manera sostenible y brinden resultados dentro del tiempo estipulado y con los recursos disponibles.  En esta especialización aprenderás, a través de casos de estudio y metodologías con estándares internacionales, conceptos y herramientas clave para diseñar y gestionar proyectos de desarrollo, y sus posibles riesgos, con énfasis en los resultados. Esta especialización está conformada por los siguientes cursos:  Diseño de proyectos de desarrollo Herramientas de gestión de proyectos de desarrollo Gestión con enfoque en riesgos en proyectos de desarrollo  Al finalizar, realizarás un proyecto final para poner en práctica lo aprendido sobre el diseño y la gestión de proyectos de desarrollo en los distintos cursos.

This specialization is intended for engineers of any discipline who want to upskill into edge AI. Throughout the three courses learners will learn the fundamentals of edge AI and how to apply them to sensor-based problems using both time-series and vision data. This specialization also explores how to build and deploy edge AI models for microcontrollers and addresses how to approach designing models for the hardware constraints of tiny devices.

Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do. What our students say: "A life-changing specialization." "Simple yet powerful rules." "Essential for everyone."

This specialization helps you develop a strong leadership presence, build trust, and communicate with clarity to influence people and shape team culture. You’ll learn to lead people and performance through effective listening, feedback, coaching, accountability, and conflict management. You’ll also gain practical tools to make confident decisions, solve complex problems, and lead through ambiguity, enabling you to drive meaningful, measurable impact in your organization.

La industria de la música está sufriendo enormes cambios, y como consecuencia de ello, los músicos necesitan aumentar sus habilidades en varias áreas diferentes para triunfar. El Programa Especializado para el Músico Moderno está diseñada para proporcionarte las bases de la teoría de la música, la producción musical, y la composición, y te dotará de las herramientas que necesitas para escribir y producir tu propia música.

El agua es mucho más que un recurso natural: es un factor estratégico para la vida, la sostenibilidad y la continuidad de las organizaciones. En este curso MOOC analizarás el papel del agua en los entornos sociales, productivos y organizacionales, a partir de conceptos clave, reflexiones y casos innovadores. A lo largo de 7 módulos, identificarás retos actuales y oportunidades para proponer soluciones sostenibles que impulsen un uso responsable, eficiente y equilibrado del agua. Un curso ideal para quienes buscan comprender el valor estratégico del agua y contribuir con ideas innovadoras a los desafíos del presente y del futuro.

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will embark on a journey through the fundamentals and advanced techniques of embedded systems programming with a focus on object-oriented methodologies. Beginning with the setup of essential tools like Keil uVision and STM32CubeIDE, you will gain hands-on experience in configuring and using these powerful development environments. As you progress, the course delves into object-oriented firmware programming, starting with the creation of drivers and classes in both C and C++. You will learn to develop UART drivers, create LED classes, and implement inheritance, all while adhering to best practices. The course also explores the development of GPIO and UART libraries from scratch, providing a robust understanding of how to build and test reusable code components in an embedded context. Finally, the course covers advanced topics such as polymorphism and the extension of GPIO libraries to handle alternate functions. By the end of this course, you will have a comprehensive understanding of object-oriented programming in embedded systems, enabling you to create efficient, scalable, and maintainable firmware for a wide range of applications. This course is designed for embedded systems engineers, firmware developers, and hobbyists with a basic understanding of C programming. Familiarity with microcontrollers and basic electronics is recommended but not required.

La convivencia entre familia y empresa en un negocio, contrariamente al sentir general, es una excelente combinación para el éxito. Las empresas familiares constituyen la base de la economía mundial, son compañías con una mayor tasa de supervivencia y dan mejores resultados operativos en el largo plazo. Pero entrañan ciertos riesgos que hay que saber gestionar. En esta especialización, analizaremos las complejidades de la empresa familiar y daremos las claves para gestionarlas de forma exitosa. Veremos marcos conceptuales, instrumentos de gestión e instrumentos de transformación que te ayudarán a llevar adelante los procesos de gestión, institucionalización y sucesión de tu compañía. Como verás a lo largo de los tres cursos y el proyecto final, la especialización está abierta a todo tipo de empresas, independientemente de su tamaño, su industria o su proyección: el único requisito es que sean empresas familiares. Tanto da si se trata de un taller mecánico o una multinacional como LG o Zara, las empresas familiares reúnen ciertas características específicas que exigen medidas específicas para asegurar su éxito. Bienvenidxs! © Obra producida por ESADE Business School en colaboración con Homuork & HomuorkLAB

English skills are becoming increasingly essential for overcoming communication barriers and enabling access to knowledge and expertise from around the world. This Specialization will help improve your English language skills from A1 to A2 (CEFR) proficiency for career development, everyday communication, and your personal life. Each course is made up of short, engaging task-based lessons that can be done anywhere, anytime. Lessons include content from the real world, so you will learn from real conversations, emails, phone calls, and messages that you may encounter at work or in your personal life. Learning activities in these courses will take place on Voxy, an innovative English training platform designed for upskilling and real world success. Our task-based, authentic methodology provides a two-for-one opportunity for personal growth: you develop the skills and practical knowledge necessary for your daily activities while improving your English language proficiency at the same time. You’ll achieve your goals faster on Voxy’s innovative platform, which automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills to ensure that every lesson is optimized for rapid improvement.

Master equity research, financial modeling, stock valuation, and portfolio analysis using real-world company case studies. Build job-ready investment analysis skills with Excel-based models, DCF valuation, financial statement analysis, and portfolio strategy frameworks. This Specialization provides a practical pathway to analyze companies, forecast financial performance, estimate intrinsic value, and evaluate investment opportunities like a professional equity research analyst. You’ll learn how to interpret financial statements, identify business and cost drivers, build integrated financial models, calculate WACC and free cash flow, and apply DCF, PE-based, and relative valuation techniques. Across real-world cases in pharmaceuticals, capital goods, and retail, you’ll connect industry insights with financial projections and valuation outcomes. You’ll also explore portfolio management concepts including active and passive strategies, benchmarking, tracking error, momentum investing, style analysis, and asset allocation. By the end of this Specialization, you’ll be able to build professional financial models, analyze company performance, evaluate stock value, compare investment opportunities, and make data-driven equity investment decisions with confidence.

This specialization is intended for business professionals or students seeking to improve their English language skills by using business related content. Through three courses, you will cover, for example, topics related to leadership, corporate organization, sustainability, working globally, human resources, project management, and work-life balance. You will also learn English language skills that are sometimes a challenge to business professionals. These courses will prepare you to be able to better understand and use written and spoken English in business situations.

Adéntrate en el futuro con la Estrategia de agentes: Descubrimiento, diseño y prototipos. Este curso te permite dominar el marco de transformación con IA de agentes de Google y pasar de los chatbots a compañeros de equipo autónomos. A través de un caso de uso de venta minorista, aprenderás a cuantificar el valor comercial, priorizar proyectos de IA, asignar recorridos críticos de usuarios y crear prototipos funcionales con herramientas sin código como Google AI Studio y Gemini Enterprise. Este curso proporciona una hoja de ruta sólida necesaria para que los líderes empresariales y técnicos guíen a su organización hacia la era de la IA de agentes.

Practice ethical hacking concepts using real-world tools, guided labs, and simulated attack scenarios designed for beginners. This Ethical Hacking Specialization is suitable for those who want to become ethical hackers. It features simulations of real-world attacks, demonstrations from industry pros, and easy-to-understand definitions that mirror real-life scenarios. The specialization is hands-on specific and covers 40+ demos using multiple tools like Burp Suite, NMAP, Shodan, ShellGPT, Advanced IP Scanner Tool , Snort, Snow and many more. The specilization also covers how ethical hacking is done in this era of Artificial Intelligence (AI) and you will work with AI-enabled ethical hacking tools. Tools and Environments You’ll Explore Network scanning and enumeration tools Vulnerability assessment utilities Web application testing tools Password and authentication testing tools Traffic analysis and packet inspection tools Linux-based security testing environments Ethical Hacking Domains Covered in the specilization: Footprinting and reconnaissance Scanning networks and enumeration Vulnerability analysis System hacking techniques Malware and persistence concepts Sniffing and traffic analysis Social engineering fundamentals Denial-of-service Web application attacks Wireless attack techniques Cloud, IoT, and mobile attack surfaces Cryptography and secure communications

Welcome to the Specialization in Ethical Leadership! Over the course of a few months, we aim to help you understand how to “Grow the Good in Business” through leadership centered in personal integrity, conviction, and values. Corporate culture is often criticized for valuing short-term gains over long-term growth and concern for others. At Notre Dame, our approach integrates ethical, social, and environmental issues into traditional business courses. Our aim is to equip you with cross-functional intelligence, a balanced worldview, and a proper sense of moral purpose that can prepare you to contribute, cooperate, compete, and lead ethically in today’s rapidly changing business environment. Upon the successful completion of this program, the participant will receive a document certifying that the participant completed the program. The document will not qualify as an academic credential, and the recipient will not earn any academic credits [or receive a transcript] from the University of Notre Dame in connection with the program. Participants in the program are not students at the University of Notre Dame, and completion of the program does not qualify any participant for status as an alumnus of the University of Notre Dame.

This Specialization is for learners wishing to learn Microsoft Excel from beginner level to expert level. The first two courses will teach learners the basics of Excel through the use of dozens of educational screencasts and a series of quizzes and in-application assignments. Finally, in Part 3 (Projects), learners will complete several "real world", somewhat open ended yet guided projects. In the Projects course, special emphasis is placed on dynamic array functions, which are new in Office 365 and have revolutionized the way that worksheet calculations are performed.

Exam Prep DVA-C02: AWS Certified Developer Associate specialization helps you gain the skills you need to be a successful cloud developer on the AWS platform. This specialization covers a broad range of topics, including compute, storage, databases, networking, security, and developer tools. This specialization will provide you with enough skills and knowledge to become AWS Certified Developer - Associate certified. It prepares learners to effectively utilize AWS services for designing, building, securing, and maintaining scalable applications, ensuring they are well-equipped to handle real-world cloud development challenges. By preparing for and passing the AWS Certified Developer Associate Certification exam through our specialization, you will hone your skills in areas like: Developing, deploying, and maintaining applications on AWS. Using AWS services such as compute, storage, databases, and networking. Implementing security best practices in AWS applications. Troubleshooting and debugging AWS applications. Automating deployments and infrastructure management on AWS. Exam Prep DVA-C02: AWS Certified Developer Associate specialization is broadly divided into five courses. The details of courses are provided below: Course 1: AWS: Containers and Developer Tools Course 2: AWS: Compute and Storage Course 3: AWS: Networking and Content Delivery Course 4: AWS: Databases Course 5: AWS: Security, Management and Governance

Exam Prep: AWS Certified DevOps Engineer - Professional Specialization is intended for candidates performing a Developer or DevOps Engineer role. This specialization validates the candidate’s ability to design, deploy, and manage AWS services and systems at scale, with a focus on automation, continuous integration, delivery, monitoring, and security. This specialization will help you attain AWS Certified DevOps Engineer Professional Certification. By preparing for and passing the AWS Certified DevOps Engineer Professional Certification exam through our specialization, you will hone your skills in areas like: Implement and manage continuous delivery systems and operations processes on AWS. Define and deploy monitoring, metrics, auditing, and logging systems on AWS. Implement self-healing, highly available, and scalable infrastructures on AWS. Implement infrastructure patterns, governance processes, and security standards into reusable IaC templates. The Exam Prep: AWS Certified DevOps Engineer - Professional Specialization is broadly divided into a set of 5 Courses. The detail of the Courses is provided below: Course 1. Getting Started with AWS DevOps Course 2. AWS: CI/CD Pipelines and Deployment Strategies Course 3. AWS: Configuration Management and IaC Course 4. AWS: Containerization Course 5. AWS: Monitoring, Logging, and Governance Course 6. AWS: Resilient Solutions and Security Controls

Exam Prep: Oracle Certified Associate, Java SE 8 [1Z0-808] specialization is designed for developers preparing to validate their core Java programming skills and understanding of object-oriented principles. This course systematically builds your foundation from basic syntax to advanced programming constructs required for the certification. The program deepens expertise in working with arrays, loops, and decision constructs, and progresses to essential OOP concepts such as methods, encapsulation, inheritance, and polymorphism. By completion, learners will be fully prepared to demonstrate their ability to develop and debug robust Java applications, an essential credential for aspiring Java developers, software engineers, and backend programmers pursuing Oracle’s globally recognized Java SE 8 certification. You’ll gain practical experience in: Define variables, construct classes, and create executable applications Implement operators, loops, and conditional statements Use control flow and looping constructs Apply OOP concepts (inheritance, polymorphism, and interfaces) By the end of this training, you'll be ready to confidently pass the Oracle Certified Professional Java SE 8 Programmer I (1Z0-808) exam, and more importantly, step into entry-level roles that require foundational Java development skills and a solid understanding of object-oriented programming.

Executive Communication Excellence equips professionals with clarity, empathy, and influence. This specialization develops the core communication competencies every leader needs today—intentional listening, clear writing, and GenAI-powered messaging. You'll learn how to actively listen across cultures, write professional business and technical documents, and leverage tools like ChatGPT for presentations, executive summaries, and stakeholder messaging. Designed for busy leaders, the courses blend frameworks, templates, AI tools, and hands-on projects to elevate your communication across functions and regions. By the end, you’ll confidently lead with communication that inspires trust, alignment, and results.

Transform from Facebook beginner to marketing expert with this 20-course program covering every aspect of platform success. Starting with zero experience, you'll build a thriving presence through strategic planning, compelling storytelling, and data-driven optimization. Master content strategy by identifying your niche and creating balanced calendars mixing posts, visuals, videos, and live content. Learn to craft posts using the Hook-Body-CTA model, create visuals with mobile photography, and produce videos for Facebook Watch. Master Facebook Live for real-time connection and understand the algorithm to maximize reach. Use Meta Business Suite analytics while building communities through Groups and Pages. The program includes business training—from page setup to Facebook Ads Manager mastery. Learn monetization through Stars, Subscriptions, Events, and Shops. Special courses cover AI content with ChatGPT, Canva animation, and organic Group marketing. Through hands-on projects and templates, gain immediately applicable skills. Whether building a personal brand, growing a business, or pursuing content creation, this program provides the complete roadmap from first post to profits. By completion, you'll confidently create content, build communities, run ad campaigns, and generate multiple revenue streams on Facebook.

This Finance specialization is intended for students who want to acquire the analytical and empirical tools needed to understand the functioning of financial markets. Students will learn how investors choose their portfolios and how their choices determine equilibrium asset prices. Students will analyze the role of liquidity in securities markets, and they will understand how security trading is organized and regulated and how it has been reshaped by algorithmic and high frequency trading, and how the trading process affects the formation of asset prices. The program will equip students with the tools and the skills necessary to pursue a career in the financial industry.

This comprehensive program equips finance professionals with advanced Excel techniques for financial analysis, modeling, and reporting. Through 12 hands-on courses, you'll master financial statement analysis, automated modeling, forecasting, budgeting, and dynamic dashboard creation. Real-world case studies and practical projects ensure immediate application of skills in professional settings.

Build practical IFRS financial reporting skills for accounting, auditing, finance, and analysis roles. Learn to apply accounting standards, interpret disclosures, assess reporting quality, and make confident financial reporting decisions. This Specialization provides a structured learning path across key IFRS reporting areas, including financial reporting quality analysis, first-time adoption, regulatory accounting, share-based payments, held-for-sale assets, mineral resource accounting, and segment reporting. Learners will explore how financial statements are prepared, analyzed, disclosed, and evaluated under international reporting standards. Through practical examples, case-based learning, and real-world reporting scenarios, learners will develop the ability to identify accounting red flags, assess earnings quality, interpret adoption disclosures, classify complex transactions, recognize impairment effects, and prepare transparent financial disclosures. By completing this Specialization, learners will gain job-ready IFRS knowledge that supports careers in accounting, auditing, financial reporting, compliance, finance, and investment analysis.

Master financial risk using quantitative tools and real-world strategies. Build a strong foundation for FRM Level 1 with practical, job-ready skills. This course combines quantitative analysis and risk management into one structured learning path designed for aspiring finance professionals. You will start with probability, distributions, and statistics, then progress to real-world applications like Value at Risk (VaR), stress testing, and credit risk analysis. Through practical examples and industry-relevant frameworks, you will learn how to measure uncertainty, evaluate financial risks, and make informed decisions. The course covers key risk types including market, credit, liquidity, and operational risks, along with strategies like diversification and enterprise risk management. By the end of this course, you will be able to apply quantitative methods to analyze risk, understand the risk-return trade-off, and confidently approach FRM Level 1 concepts or real-world financial roles.

Master Financial Risk Modeling and gain in-demand skills in VaR, credit risk, and simulation techniques. Learn how financial institutions measure, analyze, and manage risk in real-world scenarios. This course provides a structured approach to understanding financial risk, starting with core concepts and progressing to advanced modeling techniques. You will explore market risk, analytical methods, and Value at Risk (VaR) approaches, including Historical and Monte Carlo simulations. In addition, the course covers credit risk modeling, Probability of Default (PD), and exposure measurement using credit conversion methods. You will also gain insights into operational risk and its impact on financial systems. By the end of this course, you will be able to apply risk modeling techniques to evaluate uncertainty, support financial decision-making, and build a strong foundation for careers in finance, banking, and risk management.

Master the valuation and risk modeling techniques used by financial institutions, investment firms, and risk management professionals to evaluate financial instruments and manage uncertainty. This comprehensive course combines market risk measurement, derivatives valuation, fixed income analysis, and advanced risk management frameworks into a practical learning experience. The course begins with the foundations of financial risk measurement, introducing Value at Risk (VaR), volatility concepts, and statistical techniques used to quantify financial uncertainty. Learners will explore multiple VaR methodologies and understand how risk professionals measure and monitor market exposure across portfolios. Building on this foundation, the course examines advanced risk modeling approaches and option pricing techniques. Learners will gain practical knowledge of binomial valuation models, the Black-Scholes framework, and the application of Greeks for sensitivity analysis, hedging, and risk management. Arbitrage principles and pricing relationships are also explored to strengthen financial intuition. The course then transitions into fixed income valuation, covering bond pricing, discounting techniques, yield curve construction, and interest rate dynamics. Learners will develop the ability to measure and manage interest rate risk using duration, convexity, and DV01 methodologies commonly applied by investment and treasury professionals. Beyond market and interest rate risk, learners will explore credit risk, operational risk, and country risk frameworks. Topics include credit ratings, transition matrices, operational risk challenges, and macroeconomic factors influencing sovereign and cross-border risk assessment. By the end of this course, learners will be able to evaluate financial instruments, apply valuation models, interpret risk metrics, assess multiple forms of financial risk, and support investment and risk management decisions using industry-standard techniques relevant to banking, asset management, treasury, and FRM preparation.

Build a strong Finance and Risk Management foundation in financial risk management, quantitative finance, valuation, and derivatives. Master the tools used to measure risk, analyze markets, value instruments, and support financial decision-making. This Specialization is designed for learners who want to develop practical and exam-relevant knowledge across risk management, portfolio theory, financial statistics, fixed income, derivatives, and valuation models. You will learn how financial institutions measure uncertainty, manage market and credit risk, evaluate bonds, price derivatives, and apply quantitative methods to real-world financial problems. Across the courses, you will explore enterprise risk management, governance frameworks, probability, regression, time series analysis, Value at Risk, stress testing, yield curves, duration, convexity, options, swaps, Black-Scholes, Greeks, and hedging strategies. The curriculum connects core theory with practical applications used in banking, asset management, treasury, trading, and risk analytics. By completing this Specialization, learners will be prepared to analyze financial risks, interpret risk metrics, evaluate financial instruments, and strengthen their readiness for FRM Level 1 preparation and finance-focused career opportunities.

The University of Cape Town’s specialization will give aspiring entrepreneurs the tools to understand the technological innovations and challenges the financial services industry faces in the emerging market context. The specialization covers foundations of the changing financial regulations, new technological applications like blockchain or artificial intelligence and design thinking for startups in emerging markets. Through real-world case studies, you will see how this technology can unlock growth and spur innovation and will understand the specific emerging economies environment within which innovation can take place. This specialization is particularly suited for entrepreneurs or aspiring entrepreneurs who want to learn how they can harness the power of fintech or technology in an emerging market. You will work on a business plan for your own fintech or tech-based startup idea in the capstone project comprising a business model canvas and pitch. This allows aspiring entrepreneurs to take a tangible step towards launching their own startup. Watch the course trailer

This specialization is intended for anyone seeking to improve their health, protect our planet and build a stronger, more positive relationship with food. The courses aim to improve knowledge about the relationships between our health, our food, how our food is made, and our environment, while inspiring us to make decisions that will protect our health and the health of the environment. After completing the specialization a learner with no previous food, nutrition, sustainable, mindful eating, or cooking skills will be able to 1. evaluate contemporary food choices for their impact on both human health and planetary sustainability, 2. achieve stepwise personal behavior change towards healthier, more sustainable eating, 3. prepare healthy, delicious meals using simple techniques and readily available ingredients, and 4. incorporate into their lives, the practice of food mindfulness, dietary moderation, varied meal composition and self-compassion with regard to their eating behaviors and food choices. Together, these skills and competencies will facilitate a lifelong, positive and health-promoting relationship with food for each individual learner and for their loved ones. Special thanks to: Lucas Oliver Oswald, Desiree Labeaud, Christopher Gardner, William Bottini, Sejal Parekh, Arielle Wenokur, Janine Van Schoor, Ann Doerr, Bonnie Maldonado, Perry Pickert and the fantastic team at Friday Films.

This course introduces the core principles and strategies of artificial intelligence (AI) in web development, showcasing how AI is transforming modern web experiences. From enhancing user interactions to automating complex processes, AI is at the forefront of shaping the web's future. You will learn how to harness AI technologies such as machine learning, natural language processing, and computer vision to develop intelligent applications. The course will also help you understand AI's potential to streamline workflows and improve overall web design. What sets this course apart is its practical approach, offering real-world examples and case studies that highlight AI’s application in web projects. You will gain both theoretical knowledge and hands-on skills to effectively integrate AI into your web applications. Designed for web developers looking to understand AI’s capabilities, this course requires a basic understanding of web development but is open to anyone eager to explore the world of AI-driven web solutions. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

This course gives you an expansive overview of Agile project management. By the end, you’ll know Agile’s history, how it works, and how it's different from other approaches to project management. You’ll also learn the Agile Manifesto, including its 4 values and 12 principles. And you’ll even understand how to adopt and apply Agile in a VUCA environment. By the end of this course, you will be able to: - Explain how Agile project management works and differentiate it from Waterfall methodology using real-world examples - Apply the four values and twelve principles of the Agile Manifesto to adopt an effective Agile mindset for project success - Compare popular Agile frameworks including Scrum, Kanban, XP, and Lean to determine when to use each approach

This is the first course in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the functions of data analytics and data science within an organization -Identify tools used by data professionals -Explore the value of data-based roles in organizations -Investigate career opportunities for a data professional -Explain a data project workflow -Develop effective communication skills

This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices you can leverage during your job search.

This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.

Si deseas fabricar un producto, brindar un servicio o independizarte laboralmente, en este programa especializado obtendrás estrategias que te guiarán en el desarrollo de tu plan de negocio. No necesitas ser un experto en los negocios para crear estrategias de mercado, calidad y financieras.

Charitable giving is rebounding as the economy improves. Yet there is a shortage of qualified fundraising professionals to help organizations connect their needs with potential donors. Through four courses, you will gain the knowledge and skills to begin or advance your career in the high demand field of fundraising and development. This Specialization is designed to meet the rising demand for trained fundraising professionals.

Esta especialización analiza cómo el deporte global está siendo transformado por cambios estructurales, tecnología y capital: desde la evolución del comportamiento de los aficionados y los derechos de medios hasta nuevos formatos de competición, el rendimiento basado en datos y la influencia creciente del capital privado y de los atletas como plataformas. A través de tres cursos interconectados, los estudiantes explorarán el paso de modelos deportivos tradicionales a ecosistemas híbridos, activos todo el año y centrados en datos, comprendiendo cómo la innovación desafía a las instituciones establecidas y al equilibrio competitivo. El programa conecta economía, medios, tecnología y gobernanza con casos reales en fútbol, golf, deporte juvenil y ligas emergentes, incluyendo competiciones privadas, propiedad multiclub, sistemas de rendimiento con IA y hubs de innovación deportiva. Diseñada para ejecutivos, emprendedores, inversores, consultores y profesionales del deporte, los medios y la tecnología, la especialización ofrece una visión estratégica para anticipar cambios, evaluar nuevos modelos de negocio y comprender las fuerzas que definirán la próxima década del deporte.

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. This specialization delves into key game math concepts for Unity 6, focusing on bitwise operations, vector math, intersections, and affine transformations. Learners will build a solid foundation in these areas to solve complex game development challenges. It starts with bitwise operations and progresses to advanced topics like vectors, rotations, and transformations. Practical exercises help learners master concepts such as Cartesian coordinates, dot products, and cross products in Unity. As you advance, you'll apply mathematical principles in Unity 6, following step-by-step solutions to challenges that help you implement what you've learned in real-world game development scenarios. This specialization is ideal for game developers, aspiring Unity users, and anyone interested in learning how to use mathematics in game development. It is recommended for learners with a basic understanding of programming and game development. By the end, you will be able to apply fundamental mathematical concepts to solve real-world problems in Unity, implement advanced vector and transformation techniques, and develop optimized solutions for game mechanics and physics.