Coursera Courses |
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Los Objetivos de Desarrollo Sostenible para las empresas (Coursera) https://www.coursera.org/learn/objetivos-desarrollo-sostenible-empresas Este curso del Centro de los Objetivos de Desarrollo Sostenible de América Latina y el Caribe con el que espera contribuir a tener un mejor entendimiento de los Objetivos de Desarrollo sostenible (ODS) desde el entorno empresarial. Este curso tiene como objetivo brindar herramientas para que las empresas inicien o direccionen con mayor precisión sus esfuerzos en favor del desarrollo sostenible a partir de sus actividades estratégicas. Durante el curso el estudiante analizará la compañía que esco |
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Los obstáculos y la conducción en las negociaciones (Coursera) https://www.coursera.org/learn/negociacion-proceso En este curso se analizará para su aplicación la ubicación y señalamiento de los obstáculos que se presentan durante el proceso de negociación. Es interesante observar que en este análisis no sólo se plantean los obstáculos, sino se hacen observaciones sobre las condiciones que se presentan para identificar el obstáculo con las habilidades y estrategias que se ofrecen para su manejo efectivo. La presentación de los nueve obstáculos que propone nuestro modelo de negociación se hace en forma de ap |
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Los portafolios y las inversiones en el mercado de capitales (Coursera) https://www.coursera.org/learn/portafolios-inversiones-en-mercado-de-capitales En la medida en que las personas o las entidades requieren invertir sus posiciones de liquidez en el mercado de capitales se hace necesario estudiar los activos financieros y entender el funcionamiento del mercado de valores para tomar decisiones informadas y sustentadas que permitan a los inversionistas decidir adecuadamente los niveles de riesgo-retorno que se desea tomar. Este curso aborda la idea principal de la diversificación vía la conformación de portafolio de inversión con el objetivo d |
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Love as a Force for Social Justice (Coursera) https://www.coursera.org/learn/love-social-justice The objectives of this course are: -To introduce participants to different concepts of love, to empower them to be conscious of the power of love and the possibility of practicing it in everyday life, and to highlight in particular the idea of love as a force for social justice. -To communicate a sense of personal strength and empowerment by actively learning from each other and beginning to define how participants can apply their learning in service to society. This course will explore the c |
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Low Intermediate English: Calls & Messaging (Coursera) https://www.coursera.org/learn/low-intermediate-english-calls-messaging In this course, you will learn how to get in touch with all the people in your life by phone, email, text, and even social media. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that can be done |
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Low Intermediate English: Help & Information (Coursera) https://www.coursera.org/learn/low-intermediate-help-information In this course, you will learn important language for asking for help, giving and understanding directions, and sharing your opinions. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that can be |
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Low Intermediate English: Meet & Greet (Coursera) https://www.coursera.org/learn/low-intermediate-english-meet-greet In this course, you will develop your English conversational skills that you can use to build your personal and professional relationships. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that c |
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Low Intermediate English: Planning & Organization (Coursera) https://www.coursera.org/learn/low-intermediate-english-planning-organization In this course, you will learn important language for planning your life, including your social life, your travels, and your work. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that can be don |
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Low Intermediate English: Shopping & Customer Service (Coursera) https://www.coursera.org/learn/low-intermediate-english-shopping-customer-service In this course, you will learn important language to describe how you shop, review what you’ve bought, and assist customers. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that can be done anyw |
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Low Intermediate English: Technology (Coursera) https://www.coursera.org/learn/low-intermediate-english-technology Living in the digital age means not only having a lot of technology, but talking about it a lot too. In this course, we’re going to focus on the technology and devices that we use in our daily lives. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each w |
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Low Poly Art For Video Games (Coursera) https://www.coursera.org/learn/low-poly-art-video-games This course is aimed to give you the tools and knowledge you need to start creating simple 3D art for video games made in the Unity game engine. Through the aesthetic of pixel art we will explore artistic principals like shape language, color theory, and composition as well as show you a step by step workflow for creating assets that you can use to make your own games. The course is broken into 4 main modules, props, environments, characters, and animation. Each of these courses will have a seri |
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Luther and the West (Coursera) https://www.coursera.org/learn/luther-and-the-west In this course we will discuss the history of some ideas that have been hugely influential in the modern west and that were taken out to the rest of the world. The discussion centers on an extraordinary and historically important figure, a sixteenth century German man named Martin Luther. Luther is recognized today as the originator of many of the most significant ideas that continue to affect and shape who we as modern people are and how we see the world and ourselves for better and for worse. |
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Lymphoedema: Monitoring & Intervention After Breast Cancer (Coursera) https://www.coursera.org/learn/lymphoedema-monitoring-intervention Lymphoedema following breast cancer treatment is a poorly understood and under-researched condition which can significantly impact physical and psychological function, reduce quality of life and result in substantial cost burdens to both patients and the healthcare system. In these interactive modules we will cover an introduction to lymphoedema, lymphatic physiology and anatomy, assessment and treatment, as well as utilise case studies to understand the prospective surveillance and early inter |
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https://www.coursera.org/learn/egitto L’Egitto prima e dopo i faraoni. Dalla nascita dello Stato (3000 a.C. ca.) alle prime comunità cristiane (IV secolo d.C.) |
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https://www.coursera.org/learn/ai-for-everyone-fr L’IA n’est pas l’apanage des ingénieurs. Si vous souhaitez améliorer les capacités de votre organisation à utiliser de l’IA, vous devriez recommander ce cours à tout votre personnel, en particulier ceux opérant dans des départements non techniques. Ce cours vous fera découvrir : - La signification de la terminologie courante de l’IA, y compris les réseaux neuronaux, l’apprentissage automatique, l’apprentissage en profondeur et la science des données - Ce que l’IA peut réellement faire (et ses |
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M2M & IoT Interface Design & Protocols for Embedded Systems (Coursera) https://www.coursera.org/learn/m2m-iot-interface-design-embedded-systems This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. M2M and IoT Interface Design and Protocols is the third 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 course is focused on connecting devices to each other and to the cloud to create prototypes and actual systems that flow data from devices |
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Machine Design Part I (Coursera) https://www.coursera.org/learn/machine-design1 “Machine Design Part I” is the first course in an in-depth three course series of “Machine Design.” The “Machine Design” Coursera series covers fundamental mechanical design topics, such as static and fatigue failure theories, the analysis of shafts, fasteners, and gears, and the design of mechanical systems such as gearboxes. Throughout this series of courses we will examine a number of exciting design case studies, including the material selection of a total hip implant, the design and testing |
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Machine Learning Algorithms with R in Business Analytics (Coursera) https://www.coursera.org/learn/machine-learning-algorithms-r-business-analytics One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find actionable insight related to business problems. Some algorithms are used for predicting numeric outcomes, while others are used for predicting the classification of an outcome. Other algorithms are used |
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Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera) https://www.coursera.org/learn/machine-learning-classification-algorithms This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML. To be successful, you should have |
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Machine Learning Capstone (Coursera) https://www.coursera.org/learn/machine-learning-capstone In this Machine Learning Capstone course, you will be using various Python-based machine learning libraries such as Pandas, scikit-learn, Tensorflow/Keras, to: • build a course recommender system, • analyze course related datasets, calculate cosine similarity, and create a similarity matrix, • create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering, • build similarity-based recommender systems, • predict course ratings by training a |
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Machine Learning Data Lifecycle in Production (Coursera) https://www.coursera.org/learn/machine-learning-data-lifecycle-in-production In the second course of Machine Learning Engineering for Production Specialization, you will build data pipelines by gathering, cleaning, and validating datasets and assessing data quality; implement feature engineering, transformation, and selection with TensorFlow Extended and get the most predictive power out of your data; and establish the data lifecycle by leveraging data lineage and provenance metadata tools and follow data evolution with enterprise data schemas. Understanding machine le |
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Machine Learning for Accounting with Python (Coursera) https://www.coursera.org/learn/machine-learning-accounting-python This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems. Accounting Data Analytics with P |
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Machine Learning for All (Coursera) https://www.coursera.org/learn/uol-machine-learning-for-all Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. Machine Learning |
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Machine Learning for Computer Vision (Coursera) https://www.coursera.org/learn/ml-computer-vision In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course. MATLAB is the go-to choice |
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Machine Learning for Data Analysis (Coursera) https://www.coursera.org/learn/machine-learning-data-analysis Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts |
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Machine Learning Foundations for Product Managers (Coursera) https://www.coursera.org/learn/machine-learning-foundations-for-product-managers In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and work collaboratively with data scientists, software engineers, and customers you need to understand the basics of machine learning technology. This course provides a non-coding introduction to machine learnin |
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Machine Learning Foundations: A Case Study Approach (Coursera) https://www.coursera.org/learn/ml-foundations Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices base |
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Machine Learning Introduction for Everyone (Coursera) https://www.coursera.org/learn/machine-learning-introduction-for-everyone This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine lea |
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Machine Learning Modeling Pipelines in Production (Coursera) https://www.coursera.org/learn/machine-learning-modeling-pipelines-in-production In the third course of Machine Learning Engineering for Production Specialization, you will build models for different serving environments; implement tools and techniques to effectively manage your modeling resources and best serve offline and online inference requests; and use analytics tools and performance metrics to address model fairness, explainability issues, and mitigate bottlenecks. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build |
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Machine Learning Models in Science (Coursera) https://www.coursera.org/learn/machine-learning-models-in-science This course is aimed at anyone interested in applying machine learning techniques to scientific problems. In this course, we'll learn about the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms. We'll start with data preprocessing techniques, such as PCA and LDA. Then, we'll dive into the fundamental AI algorithms: SVMs and K-means clustering. Along the way, we'll build our mathematical and programming t |
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Machine Learning Operations (MLOps): Getting Started (Coursera) https://www.coursera.org/learn/mlops-fundamentals This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the |
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Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) https://www.coursera.org/learn/ibm-rapid-prototyping-watson-studio-autoai An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment |
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Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls (Coursera) https://www.coursera.org/learn/machine-learning-under-the-hood Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few "Skills Companies Need Most" and as the very top emerging job in the U.S. If you want to participate in the deployment of machine learning (aka predictive analytics), you've got to learn how it works. Even if you work as a business leader rather than a hands-on practitioner – even if you won't crunch the numbers yourself – you need to grasp the underlying mec |
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Machine Learning Using SAS Viya (Coursera) https://www.coursera.org/learn/machine-learning-sas This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving b |
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Machine Learning with Apache Spark (Coursera) https://www.coursera.org/learn/machine-learning-with-apache-spark Explore the exciting world of machine learning with this IBM course. Start by learning ML fundamentals before unlocking the power of Apache Spark to build and deploy ML models for data engineering applications. Dive into supervised and unsupervised learning techniques and discover the revolutionary possibilities of Generative AI through instructional readings and videos. Gain hands-on experience with Spark structured streaming, develop an understanding of data engineering and ML pipelines, an |
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Machine Learning With Big Data (Coursera) https://www.coursera.org/learn/big-data-machine-learning Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. At the end of the course, you will be able to: • Design an approach to leverage data using the steps in |
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Machine Learning with Python (Coursera) https://www.coursera.org/learn/machine-learning-with-python Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorith |
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Machine Learning: an overview (Coursera) https://www.coursera.org/learn/machine-learning-overview The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies. |
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Machine Learning: Clustering & Retrieval (Coursera) https://www.coursera.org/learn/ml-clustering-and-retrieval Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover? In this third case study, finding simil |
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Machine Learning: Concepts and Applications (Coursera) https://www.coursera.org/learn/machine-learning-applications This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, |
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Machine Teaching for Autonomous AI (Coursera) https://www.coursera.org/learn/machine-teaching-ai Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system. In this course, you’ll learn how automated systems make decisions and how to approach designing an AI system that will outperfo |
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Machine Translation (Coursera) https://www.coursera.org/learn/machinetranslation Welcome to the CLICS-Machine Translation MOOC This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device. After taking this course you will be able to understand the main difficulties of translating natural lan |
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Macroeconomic Financial Accounts (Coursera) https://www.coursera.org/learn/macroeconomic-financial-accounts This course is primarily aimed at undergraduates attending their final year or University students in monetary and financial economics, international macroeconomics and data mining. Professionals in Government institutions, Central Banks, business and the financial industry, along with other professionals interested in finance and macroeconomics, may also benefit from this course. The lectures, the tutorials and the activities lead the participants, step-by-step, through the system of financial |
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Macroeconomics for Business Management (Coursera) https://www.coursera.org/learn/macroeconomics-for-business-management In this course, you will be introduced to some basic concepts of country-level Macroeconomics that are relevant for an integrated understanding of the macroeconomic environment in which your business (or future business) operates. In this course, the first three weeks will cover the Gross Domestic Product (GDP) and its components deeply, and the fourth week will cover inflation, monetary policy, balance of payments, and the concept of real exchange rate. At the end of this course, you will be a |
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Magic in the Middle Ages (Coursera) https://www.coursera.org/learn/magic-middle-ages Magical thought has always attracted human imagination. In this course we will introduce you to the Middle Ages through a wide conception of magic. Students will have an approach to medieval culture, beliefs and practices from the perspective of History and History of Science. Popular magic, as well as learned magic (alchemy, geomancy and necromancy) will be addressed. Moreover, we will also deal with how eastern practices and texts influenced western culture. In July 2016, the course will conta |
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Magna Carta and its Legacies: Freedom and protest (Coursera) https://www.coursera.org/learn/magna-carta This course examines the roles that Magna Carta has played historically as well as the importance of Magna Carta today. It aims to equip students with a critical understanding of Magna Carta and its significance around the globe. Students will find out what Magna Carta is, how it came about, and why many believe that it remains one of the most significant documents in history. We will investigate why Magna Carta was perceived as 'radical' in its day, why it continues to be the source of numerous |
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Magnetics for Power Electronic Converters (Coursera) https://www.coursera.org/learn/magnetics-for-power-electronic-converters-v2 This course can also be taken for academic credit as ECEA 5703, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course covers the analysis and design of magnetic components, including inductors and transformers, used in power electronic converters. The course starts with an introduction to physical principles behind inductors and transformers, including the concepts of inductance, core material saturation, airgap and energy storage in inductors, reluctance and magn |
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Major and Principal Gifts (Coursera) https://www.coursera.org/learn/major-principal-gifts This course will provide a comprehensive view of major and principal gift development work for students who seek to build upon their experiences gained in the introductory session. Participants will gain an understanding of the philosophy and strategies implemented in major gift development including prospect identification, how to initially engage a potential major gift donor, the process of cultivation and moves management, effective proposal writing, making a successful ask and on-going donor |
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Major Depression in the Population: A Public Health Approach (Coursera) https://www.coursera.org/learn/public-health-depression Public Mental Health is the application of the principles of medicine and social science to prevent the occurrence of mental and behavioral disorders and to promote mental health of the population. This course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services research, and prevention. It is predicted that by 2020 depressive disorder will be the most important cause of disease burden in the e |
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Major Engineering Project Performance (Coursera) https://www.coursera.org/learn/major-engineering-project-performance Manage large projects by identifying their key characteristics, examining the key factors and risks that affect their performance and exploring methods to counter their impact on the successful delivery of projects. Looking into examples of best practice, you'll explore the relationship between projects, programmes and portfolios. You'll also discover the roles performed by the project manager, examine the difficulties associated with quantifying transaction costs in major project management a |