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12 053 cours

Résultats

  • Affaires
    Intermédiaire

    Visualize and Correlate Data

    You know sales are up, and you know you're spending on ads—but can you prove the connection and optimize your budget for maximum impact? Visualize and Correlate Data is a hands-on course for marketing professionals ready to move beyond simple reporting and make decisions with statistical confidence. This course demystifies the process used by leading companies to determine the true ROI of every marketing dollar: regression analysis. You will learn to design dashboard mockups that tell a clear story, interpret complex statistical outputs, and translate your findings into a data-driven budget proposal. By the end, you'll be able to confidently recommend the channels to invest in and which to cut, transforming you from a data reporter into a strategic business advisor.

    Langue d’origine

    150 min
    Voir les détails: Visualize and Correlate Data
  • Affaires
    Débutant

    Grundlagen der Geschäftsstrategie

    Fördern Sie Ihr strategisches Denkvermögen, analysieren Sie Ihr Wettbewerbsumfeld und schlagen Sie eine klare Positionierung und Wertschöpfung vor. In diesem Kurs, der an der Darden School of Business der University of Virginia entwickelt wurde, unterstützt Sie eine hochrangige Fakultät bei der Erkundung von zugrunde liegenden Theorien und Rahmenbedingungen, die die Grundlagen einer erfolgreichen Geschäftsstrategie bilden. Der Kurs liefert Ihnen die Tools, die Sie zum Verständnis dieser Strategie benötigen: SWOT-, Wettbewerber-, Umgebungs-, Fünf-Kräfte- und Fähigkeitsanalysen sowie Strategiekarten.

    Langue d’origine

    Voir les détails: Grundlagen der Geschäftsstrategie
  • Affaires
    Débutant

    Circular business models fostering sustainability

    The course will start with the basic concept of Circular Economy, its definition, core characteristics, and differences with the linear economy. The definition of Circular Economy will then be enriched with the main frameworks for understanding Circular Economy (e.g., the butterfly diagram and the RESOLVE model). Additionally, the course will give some practical examples of companies applying Circular Economy principles. Having defined the concept, the course will deepen the topic from a business model perspective: frameworks and tools will be presented as a valuable means to design and evaluate Circular Business Models. Besides, the transition from linear to circular economy involves not only the company per se but also the whole business ecosystem. Accordingly, the concept of circular ecosystems will be defined together with the rationale behind the need for circular ecosystems. The course will also unveil the role of platforms in enabling the transition towards Circular economy. The course ends by identifying the main factors impacting Circular Economy adoption and investigating their role in the transition from linear to circular economy: digital technologies, policies and financing mechanisms. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: WEEK 1 - Define the concept of Circular Economy - List its principles and clearly differentiate linear economy from circular economy - Describe the main models at the core of Circular Economy (e.g., the Butterfly Diagram) - Get to know some practical examples of companies applying Circular Economy principles - List its principles and clearly differentiate linear economy from circular economy WEEK 2 - Describe the classification of Circular Economy business models - Use a useful and handy tool to frame a successful Circular Economy Business Model - Define the concept of circular ecosystem and its rationale - Explain the role of platforms in Circular Economy WEEK 3 - Explain the role of digital technologies in enabling Circular Economy transition - Explain the role of policies in supporting Circular Economy transition - Describe the importance of financing mechanisms for Circular Economy ACTIVITIES Over and above consulting the content, in the form of videos and other web-based resources, you will have the opportunity to discuss course topics and to share ideas with your peers in the Forum of this MOOC. You will find a large number of readings and insights to further enrich your knowledge of the topics covered.

    Langue d’origine

    480 min
    Voir les détails: Circular business models fostering sustainability
  • Technologie
    Tous les niveaux

    C++程序设计

    北京大学《C++程序设计》这门课将向你讲授C++程序设计有关的概念和语法,使你能够使用C++语言,以面向对象的方法编写可维护性、可扩充性好的,较大规模的程序。我们建议你在开始本课程之前已经熟悉了C语言和基本程设编写。这门课则将带你掌握C++语言中类、对象、运算符重载、继承、多态等面向对象的程序设计方法,以及模板、标准模板库STL等泛型程序设计的机制,体会和领悟面向对象程序设计方法和泛型程序设计方法的优势。

    Langue d’origine

    Voir les détails: C++程序设计
  • Technologie
    Débutant

    Rust Fundamentals

    This comprehensive Rust programming course welcomes learners of all levels, including beginners and those with some programming experience. No prior knowledge of Rust is required, making it accessible to coding novices. Throughout the course, you will gain a solid foundation in Rust programming and develop proficiency in advanced concepts, enabling you to write efficient, reliable, and high-performance code. You will understand the core concepts and syntax of Rust, learn effective code organization, error handling techniques, and explore Rust's package manager for efficient project management. By completing this course, you will have the skills to develop reliable and high-performance applications, regardless of your prior programming experience.

    Langue d’origine

    1500 min
    Voir les détails: Rust Fundamentals
  • Affaires
    Tous les niveaux

    Manage Forex Risk & Currency Trading Strategies

    Master forex trading fundamentals and currency risk management to confidently handle international financial transactions. Learn how to analyze exchange rates, calculate forward pricing, and apply hedging strategies in real-world scenarios. This course provides a structured introduction to foreign exchange markets, covering currency pairs, quotation methods, bid-ask spreads, and spot market mechanics. You will develop a strong understanding of how exchange rates are determined and how forex trading operates in global markets. Through practical modules, you will explore forward contracts, calculate forward premiums and discounts, and understand how currency risk arises in international business. The course also teaches how to manage transaction exposure using hedging strategies, enabling you to reduce financial uncertainty. By the end of the course, you will be able to interpret forex quotes, evaluate currency movements, and apply risk management techniques effectively. Ideal for students, professionals, and aspiring traders, this course equips you with practical, job-ready skills in forex trading and currency risk management.

    Langue d’origine

    Voir les détails: Manage Forex Risk & Currency Trading Strategies
  • Technologie
    Intermédiaire

    Linux Foundations & System Architecture

    This course launches the CompTIA Linux+ Specialization by building the foundational Linux knowledge every administrator needs. Covering expert instruction across Linux history, distributions, installation, file system hierarchy, storage management, and system customization, learners develop the core skills to work confidently in any Linux environment. Learners benefit by understanding how Linux is organized, how to navigate the file system hierarchy, manage files and directories, configure storage including partitioning and LVM, and customize the Linux environment for administration tasks. By the end of this course, learners will be able to install and configure a Linux system, manage files and storage, and customize the Linux environment to support system administration workflows.

    Langue d’origine

    240 min
    Voir les détails: Linux Foundations & System Architecture
  • Technologie
    Intermédiaire

    Optimize Vision Datasets: Augment and Analyze

    In this course, you will learn how to improve computer vision performance by optimizing the dataset before model training begins. You will examine how dataset characteristics such as class distribution, image resolution, aspect ratio, channel statistics, blur, corruption, and deployment gaps shape the choices you make about model families and preprocessing pipelines. You will move from analysis to action by selecting practical strategies for resizing, normalization, deduplication, and transfer learning based on the data you actually have. You will also learn how to use image augmentation to increase dataset diversity, reduce overfitting, and improve generalization without collecting new labeled data. Through examples and applied activities, you will evaluate semantic validity, match augmentation techniques to real dataset gaps, and design training-only pipelines that reflect deployment conditions. By the end of the course, you will have a structured, repeatable approach to analyzing and augmenting vision datasets so you can build more robust and reliable computer vision systems.

    Langue d’origine

    Voir les détails: Optimize Vision Datasets: Augment and Analyze
  • Affaires
    Intermédiaire

    Virtual Negotiation, Objections And Closing Deals

    This course develops the negotiation, objection-handling, and closing strategies required to progress deals successfully within remote selling environments. Learners explore negotiation psychology, collaborative influence techniques, and customer-centric approaches that strengthen digital sales conversations and long-term client relationships. By the end of the course, learners will be able to negotiate more confidently online, manage objections effectively, and guide remote sales opportunities toward successful outcomes.

    Langue d’origine

    600 min
    Voir les détails: Virtual Negotiation, Objections And Closing Deals
  • Technologie
    Débutant

    Gemini in Google Docs - Français

    Gemini pour Google Workspace est un module complémentaire qui permet aux utilisateurs d'accéder à des fonctionnalités d'IA générative. Ce cours explore les fonctionnalités de Gemini dans Google Docs au moyen de vidéos pédagogiques, d'activités pratiques et d'exemples concrets. Vous allez apprendre à utiliser Gemini pour générer des contenus écrits basés sur des requêtes. Vous allez également découvrir comment l'utiliser pour modifier du texte que vous avez déjà rédigé, vous aidant ainsi à améliorer votre productivité globale. À la fin de ce cours, vous disposerez des connaissances et des compétences nécessaires pour utiliser Gemini en toute confiance dans Google Docs afin d'améliorer vos écrits.

    Langue d’origine

    Voir les détails: Gemini in Google Docs - Français
  • Technologie
    Avancé

    Hybrid Cloud Capstone Project

    Ready to demonstrate you can design and deliver a production-ready solution? In this capstone, you’ll create a portfolio-ready cloud computing project based on a realistic business scenario. You’ll gather requirements, model processes, and translate them into hybrid cloud architecture, cloud setup, and cloud deployment decisions to build scalable cloud infrastructure. You’ll design microservices-based applications using REST APIs, package them through a Docker Cloud project, and manage deployments in a Kubernetes project. You’ll also define CI/CD pipelines and apply cloud automation to enable faster, reliable delivery across hybrid and multi-cloud environments. Then you’ll reinforce your operational expertise by implementing cloud security, cloud monitoring, and cloud backup and recovery to ensure resilience, compliance, and performance. By the end, you’ll have a portfolio-ready project you can talk about in cloud engineering and cloud architect interviews. Enroll today and get ready to showcase your ability to design and deliver real-world hybrid cloud solutions!

    Langue d’origine

    900 min
    Voir les détails: Hybrid Cloud Capstone Project
  • Technologie
    Tous les niveaux

    Deep Learning with ANN in Python: Build & Optimize

    By the end of this course, learners will be able to configure a Python environment, preprocess and encode data, build Artificial Neural Network (ANN) architectures, generate predictions, and address imbalanced datasets using resampling techniques. Participants will gain hands-on experience with TensorFlow, Keras, and Anaconda while mastering practical skills in data preparation, model construction, and performance optimization. This course benefits students, data enthusiasts, and professionals seeking to strengthen their deep learning expertise with a focused, project-based approach. Unlike generic tutorials, it emphasizes a complete end-to-end workflow—from environment setup and data preprocessing to ANN design and evaluation—ensuring learners can independently create predictive models. What makes this course unique is its balance between conceptual clarity and real-world implementation. Learners not only understand the theory but also apply it directly to customer churn analysis, a practical business use case. With step-by-step lessons, quizzes, and guided projects, this course equips participants with the confidence to implement ANN models in real scenarios and transition smoothly into more advanced deep learning topics.

    Langue d’origine

    Voir les détails: Deep Learning with ANN in Python: Build & Optimize