The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
Google Cloud
Automating the Deployment of Networks with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.
The Total Data Quality Framework
By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; 2. Define the three measurement dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; 3. Define the three representation dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; and 4. Describe why data analysis defines an important dimension of the Total Data Quality framework, and summarize potential threats to the overall quality of an analysis plan for designed and/or gathered data. This specialization as a whole aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. We sincerely hope to disseminate knowledge about total data quality to all learners, such as data scientists and quantitative analysts, who have not had sufficient training in the initial steps of the data science process that focus on data collection and evaluation of data quality. We feel that extensive knowledge of data science techniques and statistical analysis procedures will not help a quantitative research study if the data collected/gathered are not of sufficiently high quality. This specialization will focus on the essential first steps in any type of scientific investigation using data: either generating or gathering data, understanding where the data come from, evaluating the quality of the data, and taking steps to maximize the quality of the data prior to performing any kind of statistical analysis or applying data science techniques to answer research questions. Given this focus, there will be little material on the analysis of data, which is covered in myriad existing Coursera specializations. The primary focus of this specialization will be on understanding and maximizing data quality prior to analysis.
University of Geneva
Calvin - Histoire et réception d'une Réforme
Course in French with English subtitles -- Ce cours introduit à la vie et à la pensée du réformateur Jean Calvin (1509-1564) ainsi qu’à son influence sur le monde moderne et contemporain. La démarche proposée se veut critique, il ne s’agit ni de canoniser ni de condamner Calvin, mais de comprendre sa pensée avec toute la distance requise et d’en analyser les enjeux. Au cours de la première semaine, nous explorerons les principales étapes de la vie de Calvin. Les semaines 2 et 3 seront consacrées à l’étude de sa pensée théologique et de son éthique. Enfin, lors des semaines 4 et 5, nous nous interrogerons sur la diffusion du calvinisme dans le monde et la pertinence actuelle de la pensée de Calvin. -- This course is an introduction to the life and thought of the reformer John Calvin (1509-1564) and to his influence on the modern and contemporary world. The approach we develop is critical: we intend neither to canonize nor to condemn Calvin or his thought. Our goal, rather, is to avoid any rash evaluation in order to understand his thought and analyze the issues at stake in it. During five weeks, we will explore together the life and work of the Reformer. During the first week, we will study the main aspects of Calvin’s life. Weeks 2 and 3 will focus on his theology and his ethics. During the last two weeks (weeks 4 and 5), we will ponder how Calvinism became a worldwide phenomenon and ask ourselves what kind of relevance Calvin’s thought may still have today.
Pearson
CompTIA Linux+ XK0-005: Unit 1
This course is for beginners and those wanting to deepen their Linux knowledge. You'll learn essential Linux skills through practical lessons, covering everything from installation to advanced file management and command-line use. You'll start by installing popular Linux distributions like Ubuntu and CentOS. As you progress, you'll learn to navigate the Linux command line, manage files, and use text processing tools. By the end, you'll be able to handle administrative tasks, use the Bash Shell, and apply regular expressions. Each lesson includes practical labs to help you apply your skills in real-world situations.
Rutgers the State University of New Jersey
Procurement & Sourcing Introduction
After a warm Welcome to the Global Procurement and Sourcing Specialization, I will provide a brief introduction to the specialization and its courses covering the following: -Instructor Biography -Who should take this course -Flow of the course Following the introduction, the student will get the opportunity to learn about some of the current challenges facing procurement and sourcing professionals today through reading ten current articles ranging from what is procurement to how to collaborate with suppliers. These articles/knowledge will be a foundation for later courses on how to use tools, processes and improve skills to address many of these opportunities. There will be a brief assessment (true/false) of your knowledge gained from these articles.
Google Cloud
Deploy and Monitor in Google Cloud for AWS Professionals
This is the fourth course of a four-course series for cloud architects and engineers with existing AWS knowledge. It compares Google Cloud and AWS solutions and guides professionals on their use. This course focuses on deploying and monitoring applications in Google Cloud. The learners apply the knowledge of monitoring and application deployment processes in AWS to explore the differences with Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
IBM
Tools for Data Science
In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.
Salesforce
Bases para el éxito en el desarrollo de ventas
Este es el curso 1 de la certificación profesional para representantes de desarrollo de ventas de Salesforce. Para poder realizar correctamente los cursos posteriores, asegúrate de haber completado este. Aquí podrás conocer las funciones clave de un representante de desarrollo de ventas (SDR, por sus siglas en inglés) en una empresa de tecnología. De esta forma, podrás desarrollar una mentalidad profesional ganadora promovida por la educación emocional, el pensamiento estratégico, la gestión de tiempo y la asignación de prioridades a las tareas. Además, nos centraremos en cómo manejar tu bienestar físico, mental, emocional y espiritual tanto en tu vida personal como en la profesional. En el curso 1 de la certificación profesional para representantes de desarrollo de ventas de Salesforce, podrás adquirir las habilidades necesarias para promover tu carrera en el aspecto no técnico del sector de la tecnología. En este curso, aprenderás a realizar lo siguiente: - Expresar con confianza el propósito y el poder de la función de un SDR en el sector de la tecnología - Seleccionar estrategias y herramientas de forma eficaz para desarrollar una mentalidad profesional ganadora - Justificar las estrategias de gestión de tiempo y asignación de prioridades que generan resultados en tu vida personal y profesional - Elaborar planes para asumir la responsabilidad de tu bienestar físico, mental, emocional y espiritual en las relaciones personales y profesionales Para completar correctamente este curso, deberás tener lo siguiente: - Capacidad para comunicarte de forma oral y escrita que pueda ser comprendida por un público general (no es necesario que seas formal ni refinado) - Conocimientos informáticos básicos (debes poder utilizar procesadores de texto, realizar búsquedas en Internet y manejar el correo electrónico) - Familiaridad con las redes sociales, incluso LinkedIn - Capacidad y predisposición para aprender nuevas herramientas de tecnología - Motivación para crecer a nivel personal y profesional - Buena predisposición para recibir comentarios y capacitación
Imperial College London
Mathematics for Machine Learning: Linear Algebra
In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.
Dassault Systèmes
xDesign Feature Patterns and Sweeps
Welcome to xDesign Feature Patterns and Sweeps, the fourth course in the SOLIDWORKS xDesign for Education Specialization. Prior knowledge from the earlier courses is strongly recommended. This course teaches powerful modeling tools for creating repetitive or complex geometry efficiently. Upon completion of this learning module, you will be able to: - Create mirror feature - Apply linear pattern - Apply circular pattern - Create sweep / sweep cut This course is perfect for learners looking for advanced design scenarios and time-saving model creation. Software Prerequisites: 3D Creator Access powerful capabilities for Engineering with SOLIDWORKS xDesign at a low price, $72 (excluding taxes), follow this link : https://go.3ds.com/CXD1
Logical Operations
Logical Selling: A Practical Approach to Increase Sales
Sales professionals need a system for producing sales results. Logical Selling: A Practical Approach for Increasing Sales Results provides that framework and the tools to make it your own. In this course, you will identify what makes your product stand out and plan a strategy for reaching the customers who need it. You will also examine the stages of each sale—from finding the opportunity to realizing the deal—and use them to create win-win situations for you and your customer. Finally, you will build the interpersonal and negotiating skills to form lasting business relationships from these successes. This course is designed for people transitioning into a career in professional sales, especially business-to-business, and for existing sales professionals who need to develop more structured skills for effectiveness at all stages of the sales opportunity. In this course, you will: establish the unique value of your product to customers; manage a sales territory for the most productive use of your time; gain customer interest through effective prospecting, needs analysis, and presentation of a solution; secure customer commitment by creating the right proposal, handling objections, and closing the sale; and apply negotiating skills throughout the selling opportunity to create win-win situations.
Fundação Lemann
Ensino Híbrido: Personalização e Tecnologia na Educação
Neste curso, oferecido pela Fundação Lemann em parceria com o Instituto Península, você terá a oportunidade de aprender, a partir de experiências reais, como integrar as tecnologias digitais no seu contexto escolar. As vivências compartilhadas pelos diferentes professores envolvidos neste curso lhe proporcionará reflexões sobre os modelos de Ensino Híbrido e sua relação com a personalização do ensino. A expectativa é apresentar a você possibilidades de integração das tecnologias digitais ao currículo escolar, de forma a alcançar uma série de benefícios no dia a dia da sala de aula, entre elas: Aproximação da realidade escolar com o cotidiano do aluno; Maior engajamento dos alunos no aprendizado; Melhor aproveitamento do tempo do professor; Ampliação do potencial do professor para intervenções efetivas; Planejamento personalizado. A carga horária prevista para a conclusão do curso é de 40h. Vamos lá? Comece agora mesmo!
Google Cloud
Introduction to Vertex AI Embeddings: Text and Multimodal
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore the Vertex AI Embeddings API for both Text and Multimodal (Images and Video) use cases.
University at Buffalo
Data Analysis and Visualization
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story. Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
Coursera
Business Strategy: Value Proposition Essentials
Embark on a transformative journey with Strategic Value Propositions – a lively class designed for visionary business executives, inventive marketers and ambitious entrepreneurs who are determined to carve out a niche in a crowded market. In this course, you'll develop the art and science of articulating the unique benefits of your products or services, transforming everyday offerings into must-have solutions. This course is ideal for aspiring Business strategists, Product managers, Business students, Business leaders, Business owners, Marketing professionals, Brand strategists, Content creators, Product managers, Entrepreneurs and Start-up founders, Sales executives, Business consultants and Analysts:, Project leaders and Managers. No prior experience in strategic management is required, but a basic understanding of business management, familiarity with product and service management, and an interest in marketing and communications are beneficial. A willingness to learn and apply new concepts is essential.