The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Interpretable machine learning applications: Part 5
You will be able to use the Aequitas Tool as a tool to measure and detect bias in the outcome of a machine learning prediction model. As a use case, we will be working with the dataset about recidivism, i.e., the likelihood for a former imprisoned person to commit another offence within the first two years, since release from prison. The guided project will be making use of the COMPAS dataset, which already includes predicted as well as actual outcomes. Given also that this technique is largely based on statistical descriptors for measuring bias and fairness, it is very independent from specific Machine Learning (ML) prediction models. In this sense, the project will boost your career not only as a Data Scientists or ML developer, but also as a policy and decision maker.
IIMA - IIM Ahmedabad
Pre-MBA Statistics
Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use. The course also discusses the concepts of probability, which form the backbone of statistical analysis. In particular, the course explores how data behaves and provides insight into its analysis. Further, it discusses how data can be sampled and the pros and cons of these methods. The course also delves deeper into the behavior of large data sets based on well-established statistical results. This also enables you to identify the pitfalls of incorrectly using statistical laws. Lastly, you will learn how to estimate population parameters based on limited data and check the correctness of hypotheses about populations from limited data. This course is open to students from all disciplines holding a bachelor’s degree. A rudimentary knowledge of Mathematics would help grasp the concepts better.
University of Michigan
Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal
This third course in the XR for Everybody specialization is geared toward the technical development of XR experiences. The course provides learners with a more technical mental model of XR technologies and the tools to approach XR development with confidence. It walks through the stages of development for both VR and AR projects, introducing the main XR development platforms as well as the key methods and tools. This third course also helps learners infer advanced XR requirements from physical/digital prototypes and teaches them how to differentiate major technical concerns, estimate development costs, and plan research necessary to advance XR. This course also has an honors track that guides learners in the implementation of 3D, VR, and AR scenes in WebXR using A-Frame and in Unity, and helps them generate a development plan with clear milestones and deliverables.
Tecnológico de Monterrey
Marketing en Redes Sociales Proyecto Final
Por medio de este proyecto podrás poner en práctica los conocimientos adquiridos durante la realización de los 4 cursos complementarios al programa de la especialidad. Estos conocimientos te llevarán a realizar una estrategia de mercado por medio de las redes sociales, esto con un enfoque comercial B2B. Durante el desarrollo del proyecto contarás con el apoyo de expertos, así como el apoyo de los alumnos inscritos al curso, este trabajo colaborativo te ayudará a cumplir con éxito los requisitos básicos para que tu estrategia de mercado puedas llevarla a la vida real.
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版
このコースでは、TensorFlow と Keras を使用した ML モデルの構築、ML モデルの精度の向上、スケーリングに対応した ML モデルの作成について取り上げます。
Coursera
Java Classes and Objects
In Object-Oriented Programming in a language such as Java, Classes and Objects are often used interchangeably but there is a distinction between the two. A class is a blueprint for objects. In this project you will create an application that defines a Car class and create one to many Car objects. A Car class contains the common attributes all cars have; color, make and model. When a Car Object is made from the Car class, it is then assigned a specific color, such as a red Nissan Sentra or a blue Toyota Camry. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
National Taiwan University
工程資訊管理 BIM 基礎
這門課是「CAD/BIM技術與應用」專項課程的第五門課，屬於BIM系列課程：「工程資訊管理BIM基礎」、「工程資訊管理BIM塑模」及「工程資訊管理BIM應用」的第一門課。 修習這門課之前，應具備工程繪圖的基礎觀念，並能讀懂工程圖說，了解工程圖說符號所代表的意義。此外，也需具備3D建模的基礎觀念，並嘗試建立自己的3D模型。「CAD/BIM技術與應用」專項課程的「工程圖學2D CAD」、「工程圖學2D CAD專題」、「工程圖學3D CAD」、「工程圖學3D CAD專題」課程，可提供修習這門課前所需具備的相關知識。 這門課將提供BIM的基礎知識，學習者能理解BIM在建築土木產業發展的現況，並欣賞工程師們如何運用BIM技術，提升工程的效率、品質與安全。我們相信，唯有親自動手操作，才能真正的學會BIM。因此，除了基礎的觀念外，這門課也將介紹如何檢視BIM模型中的資訊，讓工程師們可透過BIM模型，討論工程難題，並可以運用BIM相關的軟體工具，找到所需的工程資訊。 想知道什麼是BIM嗎？這門課適合想了解BIM知識的工程師與土木相關領域的管理階層人士修習。課程中所教授的BIM知識與軟體工具，能幫助了解全觀的BIM知識；所教授的軟體操作技能，能讓使用者檢視BIM模型中的資訊，並一窺BIM模型的資訊架構。 預估所需學習總時間：18小時。
University of Amsterdam
The Social Dimensions of Antimicrobial Resistance
Sonar-Global is a collaborative work to mobilize social sciences against infectious threats. It is a sustainable international network to strengthen the active participation of the social sciences in the prevention and response to infectious threats, including those posed by antimicrobial resistance (AMR) and vaccine hesitancy. The Sonar-Global's Social Dimensions of Antimicrobial Resistance MOOC is an independent course for non-social scientists who want to know more about the social dimensions of AMR. Furthermore, the course is also the basis for the OPERATE-SOC AMR curriculum, which is a curriculum developed for trainers who need to provide interdisciplinary training about the social dimensions of antimicrobial resistance to non-social scientists. This MOOC includes lectures on important social science dimensions by 19 social science experts in the field of AMR, and it has been fully developed by social scientists. The training objectives of this MOOC are: • To provide a guided introduction to the social dimensions of AMR • To learn about the relevance of social science perspectives and approaches in the study of AMR • To get introduced to the need for interdisciplinary collaboration with social scientists when working on AMR • To serve as a basis for the Sonar-Global OPERATE-SOC curriculum For more information, please visit the website: www.sonar-global.eu
University at Buffalo
Roadmap to Success in Digital Manufacturing & Design
Learners will create a roadmap to achieve their own personal goals related to the digital manufacturing and design (DM&D) profession, which will help them leverage relevant opportunities. The culminating project provides a tangible element to include in their professional portfolios that showcases their knowledge of Industry 4.0. This project is part of the Digital Manufacturing and Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0. To learn more about the specialization and its courses, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA
Instituto Tecnológico de Aeronáutica
Controle de Sistemas no Plano-s
Após esse curso você será capaz de esboçar o Lugar Geométrico das Raízes (LGR - Root Locus) do denominador da Função de Transferência em Malha Fechada a partir dos polos e zeros da Função de Transferência em Malha aberta. Você também será capaz de projetar controladores de avanço de fase para atender simultaneamente requisitos de desempenho de amortecimento e de velocidade da resposta. Você também será capaz de projetar controladores de atraso de fase para atender requisitos de erro em regime permanente sem alterar as características de estabilidade e da resposta transitória do sistema. Você verá que os controladores PD e PI podem ser considerados como casos especiais dos controladores de avanço e de atraso de fase e verá também que você pode combinar os dois tipos de controladores em controladores de avanço e atraso de fase ou em controladores PID. Por fim você será capaz de modelar o efeito do atraso de transporte em um sistema com realimentação e de contrapor esse efeito projetando um controlador ou fazendo ajustes em um controlador já projetado. Desso modo dado um sistema linear e invariante no tempo e requisitos de amortecimento, velocidade e erro em regime permanente você será capaz de projetar um controlador que fará com que o sistema em malha fechada atenda simultaneamente a esses três tipos de requisitos. E você aprenderá tudo isso usando o MATLAB, uma ferramenta computacional extremamente útil para a análise, projeto e simulação de sistemas.
Michigan State University
Launch Strategy: 5 Steps to Capstone Experience
This course is the last course in this specialization before its capstone experience where you, the learner will launch your business. Consider all the activities associated with the final preparation for a NASA launch before the final countdown takes place. Those are the type of activities with respect to launching a business that will be covered in this course. The goal of the course is for you to have a document that details all the actions you need to take, and all the things that you need to think about before launching your business, with instructions on how to do those actions and how to thing about those things. Specifically the course will provide you with five benefits or outcomes. First your attitude will be finely focused and tuned to the mindset concepts covered in course one that are likely to have the greatest impact on your business launch. Second in a similar fashion you will become keenly aware of those aspects of your business that directly impact its ability to create and deliver value on day one; and have actions plans to address each aspect. With your 'mind right' and your 'business right' the third and fourth outcomes of the course are actions plans to get your 'market connections' right. The course will allow you to explore strategies and tactics to engage the market, communication your message, and generate sales; and select those which give you the best opportunity to learn and establish a foundation for growth. Finally the course will walk you through a final checklist of operational issues that will allow you to enter the capstone course and your business launch ready to go on day one. Throughout the course we have emphasized the importance of market engagement, allowing the market to provide feedback that sharpens your business and maximizes its chances for success. As with the entire specialization the feedback you will get through the peer review assignments for this course and the capstone course are an invaluable opportunity for for such engagement.
Packt
Advanced Algorithms and Problem-Solving Techniques
This course 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. Elevate your algorithmic problem-solving skills with advanced techniques in dynamic programming, greedy algorithms, and bit manipulation. This course covers essential strategies like memoization and tabulation in dynamic programming to solve complex problems such as Fibonacci numbers, coin change, and palindromic substrings. You’ll also master greedy algorithms with problems like maximizing subarrays and minimizing the number of boats needed, enhancing your ability to approach optimization problems efficiently. Starting with dynamic programming, you will tackle various problems, from decoding strings to finding the longest increasing subsequence. As you advance, the course dives into greedy algorithms and the efficient merging of intervals to handle overlapping schedules or spaces. The course also explores matrix manipulations and bit-level operations, enabling you to solve problems related to bit counting, missing numbers, and binary representations. Perfect for those with a solid understanding of algorithms, this course prepares you to solve complex real-world challenges using advanced techniques. By the end, you’ll be equipped to tackle high-level problems that require both creative and optimized solutions. By the end of the course, you will be able to efficiently apply dynamic programming, greedy algorithms, bit manipulation, and matrix operations to solve advanced algorithmic challenges in both interviews and projects.
University of Pittsburgh
Linear Algebra and Regression Fundamentals for Data Science
Unlock essential mathematical skills with "Linear Algebra and Regression Fundamentals for Data Science" , which sets the foundation for advanced data science studies. This comprehensive program emphasizes practical application over theoretical concepts, ensuring you gain hands-on experience with Python and its powerful libraries. Begin by mastering linear algebra concepts, where you'll learn to perform vector arithmetic and matrix operations, and calculate eigenvectors and eigenvalues using NumPy. Understand how these principles are crucial for data science tasks, from data manipulation to complex computations involving large datasets. Progress to solving systems of linear equations with backsolving techniques and matrix inversion, utilizing Python’s Pandas package for efficient data handling. Explore how these methods are applied in real-world scenarios, ensuring a practical understanding of linear systems and their significance in data analysis. Advance your skills with ordinary least squares (OLS) regression, learning to fit linear models to data using probabilistic techniques and matrix transposition. The course will guide you through using regression analysis to interpret and predict data trends, making it a vital tool for any data scientist. Through practical assignments and real-world projects, you will apply linear algebra and regression techniques to solve complex problems, visualize data, and draw meaningful insights. By the end of this course, you will possess a solid foundation in the essential mathematical skills required for advanced data science, empowering you to leverage Python for effective data analysis and decision-making.
Google Cloud
Introduction to Docker
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will familiarize yourself with the basic Docker container environment commands. You will create, run, and debug containers, and learn to pull and push images to and from Google Container Registry.
Packt
UX: Interaction Design
This course 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'll gain an in-depth understanding of user experience (UX) design, focusing on interaction design principles. Learn to design intuitive, user-centered interfaces by exploring key topics such as user personas, user flows, and design patterns. By mastering these concepts, you’ll be equipped to create engaging, seamless experiences that align with both user needs and business goals. Throughout the course, you'll also dive into popular frameworks like Human Interface Guidelines and Material Design, gaining practical insights into how these standards shape the user experience. You'll work hands-on, applying design principles and systems to real-world scenarios, from wireframing and prototyping to testing and launching your designs. The course is structured to build your skills progressively, starting with basic UX theories and moving into more complex areas like accessibility and interaction design. By the end of the course, you'll be capable of creating user experiences for a wide range of products and platforms, ensuring your designs are not only functional but also user-friendly and inclusive. This course is ideal for aspiring UX designers, product designers, and anyone interested in creating digital experiences that resonate with users. A foundational understanding of design principles will be helpful, but no prior experience is required.
McMaster University
Hacking Exercise For Health. The surprising new science of fitness.
Renowned exercise physiologists Martin Gibala and Stuart Phillips of McMaster University teach the surprising new science of cardio fitness and strength-building—and then provide you with hacks to get fit and strong (and healthy!) in less time than you ever thought possible. What’s the right mix of exercise between cardio and strength? How do you know if you’re working out hard enough? What’s better, heavy or light weights? These questions and more are addressed through a course designed to provide even the most inexperienced of exercisers the tools you need to design time-efficient workouts that can be done virtually anywhere, from your own home to a city park or even at your workplace. Marty and Stu are good friends and colleagues who just happen to be two of the world’s most passionate scholars in the science of fitness. They aim to entertain you while they’re describing the relationship between exercise and health. Marty is a pioneer in the field of interval training, the technique of varying your workout intensity to get fit faster than anyone ever thought possible. Stu’s studies proved that lifting lighter weights can be a highly effective strength-building technique—plus he’s a leading expert in dietary protein and muscle. In Hacking Exercise for Health, you’ll follow Marty and Stu as they teach you the basics about the way your body boosts its fitness and strength. Next, they’ll apply that theory, providing you with a series of do-anywhere workouts and, most importantly, teaching you what you need to know to design your own sessions. Filled with inspirational practical tips, fun quizzes, interactive community participation and assignments designed to help you remember your lessons, Hacking Exercise for Health will give you the tools and techniques to incorporate exercise into your life, no matter how busy you are.