The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google
Projektplanung: Das Gesamtbild
Dies ist der dritte Kurs des Google Project Management Certificate-Programms. In diesem Kurs wird untersucht, wie ein Projekt in der zweiten Phase des Projektlebenszyklus – der Projektplanungsphase – skizziert wird. Sie untersuchen die Hauptkomponenten eines Projektplans und erfahren, wie Sie genaue Zeitschätzungen vornehmen und Meilensteine festlegen. Als Nächstes erfahren Sie, wie Sie ein Budget erstellen und verwalten und wie die Beschaffungsprozesse funktionieren. Anschließend lernen Sie Tools kennen, mit denen Sie verschiedene Arten von Risiken identifizieren und verwalten können, und erfahren, wie Sie mit einem Risikomanagementplan Risiken kommunizieren und lösen. Schließlich erfahren Sie, wie Sie einen Kommunikationsplan entwerfen und verwalten und die Projektdokumentation verwalten. Derzeitige Projektmanagende bei Google werden Ihnen weiterhin praktische Ansätze zur Ausführung dieser Aufgaben aufzeigen und Ihnen gleichzeitig die besten Projektmanagement-Tools und -Ressourcen für den jeweiligen Job vorstellen. Lernende, die dieses Programm abschließen, können sich auf Einstiegspositionen im Projektmanagement bewerben. Es sind keine Vorkenntnisse erforderlich. Nach Abschluss dieses Kurses können Sie: - die Bestandteile der Planungsphase eines Projekts und ihre Bedeutung beschreiben; - erklären, warum Meilensteine wichtig sind und wie sie festgelegt werden; - erfahren, wie Sie genaue Zeitschätzungen vornehmen können, und Techniken beschreiben, wie Sie diese von Teammitgliedern erhalten; - Tools und Best Practices zum Erstellen eines Projektplans und Risikomanagementplans identifizieren; - beschreiben, wie ein Budget veranschlagt, überwacht und gepflegt wird; - den Beschaffungsprozess und die wichtigsten Beschaffungsdokumente erklären und identifizieren; - einen einfachen Kommunikationsplan entwerfen und erklären, wie er verwaltet wird; - erklären, warum Meilensteine wichtig sind und wie sie festgelegt werden; - erklären, warum ein Projektplan notwendig ist und welche Komponenten er enthält; - erfahren, wie Sie genaue Zeitschätzungen vornehmen können, und Techniken beschreiben, wie Sie diese von Teammitgliedern erhalten;
Coursera
Data Manipulation with dplyr in R
Welcome to this project-based course Data Manipulation with dplyr in R. In this project, you will learn how to manipulate data with the dplyr package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. Also, you will learn how to combine different dplyr verbs to manipulate the gapminder dataset to get the desired result. Note, you do not need to be an expert data analyst, data scientist or statistical analyst to be successful in this guided project, just a familiarity with the R language will suffice. If you do not have a prior experience with R, I recommend that you should take the Getting Started with R project before taking this project.
The University of Sydney
Life, Health and Radiation
Radiation is all around us - without it we wouldn’t exist. Yet the word has become synonymous with danger, death and disaster. This MOOC will allow the world to see radiation in a new light, to expose its benefits as well as its risks. X-ray radiation, for example, is a scientific and medical discovery that has improved or prolonged billions of lives. Most of us have had an X-ray at some point in our life, at the Dentist, in a hospital or clinic. Yet few people really understand what X-rays are or where they come from. In this course, we will travel along the spectrum of electromagnetic radiation from unimaginably long to infinitesimally small wavelengths. At each significant point along the way we will stop and consider: What is the wavelength and frequency of this radiation? Is it ionising or not? Who discovered it and how? What are the uses of this radiation and What are the risks associated with it? Through this we hope to clarify a topic that is often confusing and concerning for many.
Instituto Tecnológico de Aeronáutica
Desenvolvimento Ágil com Padrões de Projeto
Neste curso, assumimos que você já sabe projetar e desenvolver programas mais complexos em Java, graças às boas práticas e princípios exercitados nos cursos anteriores; mas você talvez não se sinta ainda confortável em lidar com cenários mais complexos, onde é difícil desenvolver software com código de qualidade com flexibilidade suficiente para facilitar a implementação de mudanças repentinas de requisitos. O objetivo deste curso é oferecer a você um aprofundamento em técnicas de programação orientadas a objetos pelo uso de padrões de projeto no contexto de desenvolvimento ágil. Os seguintes conceitos são apresentados neste curso: • Revisão de conceitos de orientação a objetos: abstração de dados, encapsulamento, herança e polimorfismo • Reúso por meio de herança: padrões Null Object, Template Method e Factory Method • Delegando comportamento com composição: padrões Strategy, Bridge, State e Observer • Composição recursiva: padrões Composite e Chain of Responsibility • Envolvendo objetos: padrões Proxy, Decorator e Adapter • Estratégias para criar objetos: padrões Static Fabric Methods, Singleton e Builder • Modularidade: padrão Dependency Injection Ao final deste curso, você terá amadurecido de tal modo suas habilidades de programação que será capaz de implementar partes da aplicação Web final com o componente de gamificação enriquecido constantes do Trabalho de Conclusão da Especialização, aplicando onde apropriado alguns dos padrões apresentados neste curso durante a refatoração na prática TDD.
Pearson
Java SE 17 Developer (1Z0-829): Unit 5
Dive into the world of functional programming with our comprehensive course on Java Streams and Lambda Expressions. This course is designed to transform your approach to Java programming by introducing you to the Streams API, a powerful tool for processing data in a functional style. You'll explore the core concepts of streams, including terminal methods and the principle of laziness, which allow for efficient data processing. Our lessons will guide you through the intricacies of Lambda expressions, covering syntax variations and their application within functional interfaces. You'll gain hands-on experience with method references and learn to implement functional programming techniques to supply, filter, map, consume, and sort data. The course also delves into advanced topics like decomposition, reduction, and the use of collectors for grouping and partitioning. Additionally, you'll explore the use of parallel streams to process collections concurrently, leveraging parallel computing hardware for enhanced performance. By the end of this course, you'll be equipped with the skills to write more efficient, scalable, and modern Java code.
University of California, Irvine
Mobile Marketing, Optimization Tactics, and Analytics
Welcome to Course 3 of the E-Marketing Specialization: Mobile Marketing Optimization Tactics, and Analytics. Our final course will start with an introduction to mobile marketing. The remaining modules will provide you with the knowledge needed to increase sales, boost engagement, and interpret website analytics. This course will culminate in a peer-reviewed activity, in which you will have the opportunity to apply all the skills you have learned throughout the previous courses in this series. You are highly encouraged to use this course experience to begin building a digital marketing plan for your current or future business. The activities in this course are all designed to guide you through different sections of a digital marketing plan. Our learning goals for this course are to: - Identify the elements of a mobile marketing strategy and examine the various considerations associated with choosing a mobile platform - Explore the various methods to enhance a mobile experience - Analyze and optimize marketing efforts to improve business outcomes - Develop a digital marketing plan designed to meet your goals and objectives
IESE Business School
Claves para Gestionar Personas
¿Te has preguntado alguna vez qué criterios utilizan las empresas para contratar o retribuir a las personas? ¿Por qué no siempre entendemos los planes de promoción?. El objetivo de este curso es conocer algunas herramientas prácticas en materia de Recursos Humanos y aprender a gestionar personas y liderar el talento con la mayor eficacia posible.
Vanderbilt University
Generative AI Cybersecurity & Privacy for Leaders: A Primer
Are you ready to lead your organization into the future of cybersecurity while safeguarding privacy in an increasingly AI-driven world? This primer provides an essential foundation in generative AI, exploring its transformative potential and the specific cybersecurity and privacy risks it introduces. Learn to embrace AI’s capabilities while maintaining trust, compliance, and security in your organization. What You'll Learn: - Safeguard Organizational Privacy: This primer will help you understand the privacy implications of AI systems and the risks posed by data fusion across platforms. - Address Emerging AI-Specific Threats: Develop a clear understanding of vulnerabilities like prompt injection, deepfakes, AI-enhanced phishing, and adversarial text in AI deployments. - Build Confidence in AI Adoption: Gain the foundational tools and techniques to implement secure environments for AI development and responsible usage. Who Is This Course For? - Cybersecurity and Privacy Leaders: Seeking a primer to harness AI while preserving organizational integrity. - IT Professionals: Interested in responsibly implementing AI within technical infrastructures. Business Executives: Looking for a foundational understanding of AI integration without compromising compliance or ethics. - Policy Makers: Aspiring to shape legislation around AI and privacy with a deep technical primer. Why Take This Course? Generative AI offers unmatched opportunities to enhance security and privacy, but it also brings novel challenges. From adversarial risks to complex data privacy concerns, leaders need a clear and concise primer to navigate these complexities effectively. This course provides the essential knowledge and skills to balance innovation with protection. By the end, you’ll be empowered to lead AI initiatives that drive progress while mitigating the unique cybersecurity risks posed by generative AI. With this primer, you’ll confidently lay the groundwork for safe and responsible AI adoption.
AI Business School
Introduction to AI for HR professionals
Welcome to the “Introduction to AI for HR professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the HR profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, HR-focused applications. By the end of this course, you will be able to: - Understand the fundamentals of AI and its potential opportunities in HR - Explore and recognize risks and limitations associated with AI and how to address them - Practice with different AI tools to get hands-on experience - Get started with essential prompting techniques for using different Generative AI models - Discover and try out various HR-specific use cases and AI technologies, explore the ways to integrate them into daily job routines - Participate in a project to generate a HR-specific AI use case idea with an interest in programming. - Prepare for the next phase of your AI journey, progressing from foundational to advanced applications Welcome to the unique “Introduction to AI for HR professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.
Whizlabs
Java: Arrays, Loops, Methods, and Encapsulation
Java: Arrays, Loops, Methods, and Encapsulation is the second course of Exam Prep: Oracle Certified Associate, Java SE 8 [1Z0-808] Specialization. This course provides a comprehensive foundation in core Java programming, covers essential Java syntax, language structure, and coding principles through a mix of theory and hands-on exercises. Learners begin with Java fundamentals, exploring data types, variables, arrays, and operators, then progress to decision constructs and looping mechanisms such as for, while, and do-while. The course introduces object-oriented concepts, including methods, constructors, encapsulation, and the static keyword, emphasizing practical implementation and memory behavior differences between primitive types and object references. This course is ideal for: - Individuals who have completed foundational Java training and are looking to formalize their basic Java programming knowledge. - Anyone aiming for a career in software development using Java. - Students studying computer science or related IT fields often pursue this certification after completing their introductory Java programming courses. - Individuals in IT roles who want to move into a development-focused role or enhance their technical skill set to understand the applications they support. By the end of the course, you will be able to: - Apply control flow statements and looping constructs to implement iterative logic that meets specific program requirements. - Analyze primitive types and object references to determine how variable assignment, parameter passing, and method returns affect program behavior. - Design and construct classes and methods using proper encapsulation, constructors, and static members to produce maintainable, reusable, and object-oriented Java code.
LearnKartS
System & Network Security Essentials
Modern cyberattacks target systems, networks, cloud infrastructure, and connected devices — and organizations need professionals who understand how these attacks really work. This course lays the groundwork for system and network security by examining real-world threat-attack techniques, malware behavior, and other network evasion tactics common to most modern breaches. You will learn about the mechanics of password attacks, authentication vulnerabilities, privilege escalation principles, malware propagation patterns, as well as static and dynamic analysis details. The course also covers network sniffing, ARP poisoning, IDS/IPS detection logic, firewall evasion concepts, and Endpoint bypass techniques. Then, you will be exposed to the latest threat trends such as AI-based malware, ransomware-as-a-service ecosystem, cloud privilege escalation risk, and IoT/OT attack surface. Designed for security-focused learners, this course strengthens attacker methodology understanding while reinforcing defensive monitoring and detection perspectives used in real enterprise security operations. Disclaimer: CEH is a trademark of EC-Council. This course is not affiliated with or endorsed by EC-Council.
Sciences Po
A la recherche du Grand Paris
À PROPOS DU COURS A quoi sert le Grand Paris ? Qu'est ce qui se joue dans la transformation du rapport Paris/banlieue ? "A la recherche du Grand Paris" est un Mooc orignal qui associe des paroles d'habitants, des témoignages de représentants d'associations, d'experts, de chercheurs, mais aussi des images d'archives et documents, des analyses comparatives avec Londres et Bruxelles ou d'autres villes françaises. Le Mooc combine des approches historiques et comparatives, des sujets de controverse, questionne les notions d'échelles et les enjeux du Grand Paris. Il traite des évolutions de Paris et de la région parisienne, de questions de ségrégation sociale et ethnique, de développement économique, de sécurité, d'environnement, de logement, de transport, d'aménagement, d'éducation, de culture. LES ENSEIGNANTS Patrick Le Galès Patrick Le Galès est politiste et sociologue, directeur de recherche CNRS au Centre d’études européennes de Sciences Po et professeur à Sciences Po. Il est le doyen de la nouvelle Ecole urbaine de Sciences Po Ses recherches comparatives s’organisent autour de trois thématiques : Sociologie urbaine, mobilités, sociologie de l’Europe ; Gouvernance, Action publique, transformation de l’État ; Sociologie économique. PRÉREQUIS Ce Mooc est un cours qui s’adresse à un public large. Il traite des questions et enjeux lié au développement du Grand Paris, il ne nécessite aucun prérequis PLAN DU COURS Séance 1 : Métropolisation et développement économique Séance 2 : Peuplement et migrations Séance 3 : Logement et aménagement Séance 4 : Transports et mobilité Séance 5 : Risques sécuritaires et environnementaux Séance 6 : Culture et éducation Chaque séance est composée de six sous-sections sur le modèle suivant : 1 - Introduction 2 - Approche historique 3 - Echelles et enjeux contemporains 4 - Débats & controverses 5 - Approche comparative 6 - Conclusion (et forum) ÉVALUATION Un section QCM est proposée en fin de Mooc. EQUIPE PÉDAGOGIQUE Héloïse Thibault, Valentine Quinio, Judith Lienhard, Ninon Beillard, Juliette Guichardet, Odile Gaultier-Voituriez, Miyuki Tsuchiya, Maxime Crépel, Pôle Audiovisuel Sciences Po CONDITIONS D'UTILISATION Conditions d’utilisation du contenu du cours Droits réservés Licence restrictive : la production relève de la propriété intellectuelle de son auteur et ne peut donc pas être réutilisée. Conditions d’utilisation des contenus produits par les participants Droits réservés Licence restrictive : la production relève de la propriété intellectuelle de son auteur et ne peut donc pas être réutilisée. PARTENAIRES Mairie de Paris | Ecole urbaine de SciencesPo Paris | Grand Public
University of Illinois Urbana-Champaign
Artificial Intelligence in Wealth Management
This course provides a comprehensive overview of the transformative role of Artificial Intelligence (AI) in the field of wealth management. Through three detailed modules, learners will explore the foundations of AI, advanced AI tools, and future trends and challenges in AI for financial services. Designed for financial professionals, advisors, and anyone interested in understanding how AI can enhance financial planning, risk management, and client interactions, this course equips learners with the knowledge and skills to leverage AI technologies effectively and ethically in their professional practice. Featuring Experts: Randy Bruns: Principal and Founder of Model Wealth, Inc. Alex Offerman: Senior Financial Planner, Model Wealth Inc. Anna Thorberg: Director of Operations, Model Wealth, Inc. Dr. Michael Thomas: Financial Empathy & Compassion Specialist Cody Garrett: Advice-Only Financial Planner and Educator Dr. Julie Ragatz: Vice President of Financial Planning and Advisor Growth, Carson Group Dr. Matt Goren: Financial Educator and Consultant Tyrone Ross Jr.: CEO and Co-Founder of Turnqey Labs This course is a non-credit course that is part of the College of ACES suite of online programs. Learn more about online programs and explore ways to apply your work toward a degree program at College of ACES Online Programs at acesonline.illinois.edu.
University of Michigan
Big Ideas in Programming: Expressing Yourself with Python
Harness the power of Python and its programming concepts to express yourself and refine all the work you do with this online course from the University of Michigan. This course is designed for anyone interested in learning Python. Whether you want to discuss programming with other professionals, teaching others to code or use the language to do your own creative coding, this is the Python course for you! The big ideas in programming are the building blocks that allow you to create large, interesting, and useful programs. Mastering these programming concepts (variables, loops, strings, conditionals, and functions) and data structures (lists, tuples, and dictionaries) in Python will allow you to really express yourself in the digital space. The creative coding/programming skills that you acquire in this Python course will allow you to design and produce personalized stories, filter and transform data, use code visualisers, generate art, predict program output, and write better code that works smarter, not harder. You can expect plenty of interactive practice, engaging assignments, and immediate feedback. This allows you to check your understanding at every step of the way, giving you the chance to really develop your confidence and skill.
Google Cloud
Visualizing Billing Data with Google Data Studio
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will harness the power of Data Studio, where you will learn how to build billing graphs and charts so you can slice and dice your GCP bill the way you want.
New York Institute of Finance
Credit Risk Management: Frameworks and Strategies
In this course, you will use business and industry analysis to understand companies, projects, business models, and financing proposals. You will then prepare qualitative risk analysis for specific companies to use as the basis for financial analysis, project analysis, and risk decisions. Lastly, you will understand how to use financial ratios and financial metrics to evaluate a company or project’s profitability, balance sheet, capital structure, and cash flow to assess overall financial performance and risk profile.