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• Business

  Intermediate

  Real Estate Financial Modeling

  Build a dynamic Real Estate Financial model to evaluate the investment return profile of a development project in Excel. This Excel-based real estate financial modeling course is designed for development professionals, lending/banking analysts, surveyors, and anyone interested in mastering the art of building real estate development models from scratch. In this real estate modeling course, you will learn step-by-step how to build a dynamic financial model that incorporates sensitivity analysis of development costs, sales prices, and other aspects of development. You will also gain hands-on experience structuring cash flow projections, modeling financing assumptions, and evaluating key metrics such as IRR and NPV. By the end of the course, you will be able to confidently analyze development feasibility and make data-driven investment decisions using robust and flexible Excel models.

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• Business

  Beginner

  Évaluation & Mesure d'Impact Social

  Pourquoi et comment mesurer son impact social ? Quels outils choisir, comment les mettre en oeuvre, comment en exploiter les résultats ? Ces questions sont désormais cruciales pour toutes les structures oeuvrant pour l’intérêt général, associations comme entreprises sociales. Pour vous aider à y répondre nous avons donné la parole à des entrepreneurs sociaux comme Main Forte, Recyclivre, les Talents d’Alphonse, mais aussi à des financeurs comme Véolia, la BNP, Investir et +, PHI Trust, à des experts praticiens et à des experts académiques de l’ESSEC. Ces témoignages vous permettront de vous immerger dans des exemples pratiques de mesure d’impact social et de bénéficier d’expériences et de conseils concrets tout en acquérant un socle méthodologique.

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• Technology

  All levels

  Python Data Science: NumPy

  In this course, you'll continue developing your data science skills in Python by working with one of the most fundamental data science libraries—NumPy. You'll create NumPy arrays, load and save NumPy data, and analyze data in arrays. You'll also manipulate and modify data in those arrays. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python and data science libraries. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

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• Business

  Beginner

  Marketing en redes sociales desde cero

  Quien egresa de este curso: conoce los fundamentos del marketing digital y su aplicación en redes sociales. Identifica las principales plataformas sociales y sus audiencias. Diseña perfiles y contenido básico para fortalecer la presencia digital de una marca o proyecto. Aplica estrategias iniciales de alcance, interacción y fidelización. Evalúa resultados mediante métricas esenciales y plantea mejoras en sus campañas.

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• Technology

  Intermediate

  UX and Interface Design for Embedded Systems

  This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree. UX and Interface Design for Embedded Systems is the first of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This first course is focused on user experience (UX) and the related methods, practices, and principles that will help ensure your embedded interface designs for devices and systems are what your users both need and want. The class includes an introduction to UX, and then a four phase breakdown of a typical UX design process, including planning, user research, design methods, and testing for verification and validation. Much of the content provides generally applicable UX techniques, but particular focus is included for considerations in developing embedded devices. The class includes practical projects that let you try some of the key methods in a thorough interface design process.

  3000 min

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• Technology

  Intermediate

  Machine Learning Operations (MLOps): Getting Started - Español

  En este curso, se presentan a los participantes las herramientas y prácticas recomendadas de MLOps para implementar, evaluar, supervisar y operar sistemas de AA de producción en Google Cloud. Las MLOps son una disciplina enfocada en la implementación, prueba, supervisión y automatización de sistemas de AA en producción. Los ingenieros profesionales de aprendizaje automático usan herramientas para mejorar y evaluar continuamente los modelos implementados. Trabajan con científicos de datos (o pueden serlo) que desarrollan modelos para ofrecer velocidad y rigor en la implementación de modelos con el mejor rendimiento.

  1260 min

  View details: Machine Learning Operations (MLOps): Getting Started - Español
• Technology

  Intermediate

  Cryptographic Hash and Integrity Protection

  Welcome to Cryptographic Hash and Integrity Protection! This course reviews cryptographic hash functions in general and their use in the forms of hash chain and hash tree (Merkle tree). Building on hash functions, the course describes message authentication focusing on message authentication code (MAC) based on symmetric keys. We then discuss digital signatures based on asymmetric cryptography, providing security properties such as non-repudiation which were unavailable in symmetric-cryptography-based message authentication. This course is a part of the Applied Cryptography specialization.

  240 min

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• Business

  All levels

  Analyze and Apply Equity Market Fundamentals

  By completing this course, learners will be able to explain equity market concepts, analyze equity and preference shares, evaluate global equity instruments, and apply knowledge of market infrastructure and IPO processes to real-world investment and capital market scenarios. This course provides a structured and comprehensive understanding of equity markets, starting with the fundamentals of equity ownership and progressing to global instruments such as ADRs and GDRs. Learners gain clarity on how shares are issued, traded, and settled, and how market participants, depositories, and stock exchanges work together to ensure transparent and efficient capital markets. The course also demystifies IPO mechanisms, enabling learners to compare fixed-price and book-built issues with confidence. What makes this course unique is its end-to-end coverage of equity markets, combining conceptual foundations with practical market mechanics and international exposure. Designed with graded quizzes, practice assessments, and outcome-driven modules, the course supports both academic learning and professional skill development. It is ideal for finance students, investment professionals, and aspiring market participants seeking a clear, application-oriented pathway to mastering equity market fundamentals.

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• Technology

  Intermediate

  Generative AI and LLMs: Architecture and Data Preparation

  Ready to explore the exciting world of generative AI and large language models (LLMs)? This IBM course, part of the Generative AI Engineering Essentials with LLMs Professional Certificate, gives you practical skills to harness AI to transform industries. Designed for data scientists, ML engineers, and AI enthusiasts, you’ll learn to differentiate between various generative AI architectures and models, such as recurrent neural networks (RNNs), transformers, generative adversarial networks (GANs), variational autoencoders (VAEs), and diffusion models. You’ll also discover how LLMs, such as generative pretrained transformers (GPT) and bidirectional encoder representations from transformers (BERT), power real-world language tasks. Get hands-on with tokenization techniques using NLTK, spaCy, and Hugging Face, and build efficient data pipelines with PyTorch data loaders to prepare models for training. A basic understanding of Python, PyTorch, and familiarity with machine learning and neural networks are helpful but not mandatory. Enroll today and get ready to launch your journey into generative AI!

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• General

  All levels

  A Guide to Diversifying and Transforming Football Leadership

  Football is a globally followed and revered sport. In recent years, concerns over diversity and discrimination in the beloved sport have made international headlines. This has put a spotlight on the lack of representation both on and off the football pitch. The disparity in football leadership representation is even more apparent when gender, race and ethnicity comes into play. This MOOC aims to understand, explore and ultimately address the exclusion of women and people of ethnic minority background (WEM) in football organizations. Resources and practical tools are provided for aspiring football leaders and governing body members. Ultimately, the course looks to the future of football leadership and asks what needs to be done to transform the football world from the inside out. This course consists of 4 modules or ‘weeks’. In each module, a different theme will be addressed in short expert videos. Furthermore, each week will have supplementary reading material and a brief quiz or discussion topic to apply the knowledge gained from the videos and readings. Participants are invited to relate the gained knowledge to their own experiences, personal development or ambitions to create social change within the football world. Participants are expected to watch the videos before doing the small exercises. The European Commission's support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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• Technology

  Beginner

  Vertex AI와 Flutter를 활용하여 생성형 AI 에이전트 빌드하기

  이 과정에서는 Google의 이식 가능한 UI 툴킷인 Flutter를 사용하여 앱을 개발하고, 앱에 Google의 생성형 AI 모델 제품군인 Gemini를 통합하는 방법을 알아봅니다. AI 에이전트와 애플리케이션을 빌드하고 관리할 수 있는 Google 플랫폼인 Vertex AI Agent Builder도 사용해 봅니다.

  View details: Vertex AI와 Flutter를 활용하여 생성형 AI 에이전트 빌드하기
• Business

  Intermediate

  Excel Regression Models for Business Forecasting

  This course allows learners to explore Regression Models in order to utilise these models for business forecasting. Unlike Time Series Models, Regression Models are causal models, where we identify certain variables in our business that influence other variables. Regressions model this causality, and then we can use these models in order to forecast, and then plan for our business' needs. We will explore simple regression models, multiple regression models, dummy variable regressions, seasonal variable regressions, as well as autoregressions. Each of these are different forms of regression models, tailored to unique business scenarios, in order to forecast and generate business intelligence for organisations.

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