The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Virtual Interviewing for HR
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 will master virtual interviewing tailored for HR professionals. You’ll learn how to establish rapport, optimize technical setups like camera, lighting, and audio, and communicate effectively in virtual interviews. We cover how to maintain professionalism, represent your company’s brand, and navigate challenges like technical issues smoothly. The course guides you through key skills such as video interview etiquette, body language, and handling obstacles in a virtual setting. By the end, you’ll confidently manage virtual interviews, create seamless candidate experiences, and align your interviewing practices with company values and culture. This course is perfect for HR professionals and recruiters looking to enhance their virtual interviewing skills.
Wesleyan University
Writing in First Person Point of View
If you have always wanted to tell your own story—in a memoir, first-person essay, or any other form of autobiographical non-fiction—but felt you lacked the tools or the framework, this is the class for you. We will learn how successful first-person writing is structured to offer the reader a sense of propulsive motion, and is guided by a narrator who is deliberately crafted. We will explore the ways in which language can be used to create tone, so that the emotional freight of your words is as potent as the storytelling. And crucially, we will consider the writer's responsibility to the reader: the importance of being a guide who includes the reader in the sensory, emotional, and intellectual experience you mean to share through your writing.
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - Español
En este curso, se explica cómo crear modelos de AA con TensorFlow y Keras, cómo mejorar la exactitud de los modelos de AA y cómo escribir modelos de AA para uso escalado.
HubSpot Academy
Gestión de ventas sin fricción
En este curso le presentamos el Marco de ventas sin fricción y cómo puede utilizarlo para que su equipo de ventas sea más efectivo y más eficiente. Aprenderá a medir la efectividad de su equipo a través de una Auditoría de eficiencia de los representantes. Descubrirá cómo crear un proceso de ventas que se alinee con el recorrido de su comprador objetivo, así como con sus objetivos comerciales. También aprenderá cómo crear un programa de capacitación en ventas, una estrategia de contratación y un proceso de incorporación efectivos que lo ayudarán a incluir en su equipo a los mejores profesionales de ventas y a capacitarlos para que logren los mejores resultados. Al final de este curso podrá: • Definir un proceso de ventas que minimice los inconvenientes en las ventas y se base en el recorrido del comprador objetivo • Crear un programa efectivo de capacitación y entrenamiento en ventas • Crear una estrategia de contratación del personal de ventas que le permita encontrar a las personas adecuadas para su equipo • Implementar un proceso exitoso de incorporación del personal de ventas para alinear a sus nuevos empleados con sus objetivos comerciales Independientemente de su experiencia actual, en este curso aprenderá cómo crear un proceso de ventas efectivo y cómo contratar, entrenar y administrar un equipo de ventas efectivo. Este curso está dirigido a cualquier persona interesada en iniciar su carrera profesional en ventas, ya sea que esté cambiando de carrera y buscando un rol de nivel básico, o que desee perfeccionar sus habilidades en su rol actual como representante de ventas. No se requiere ningún conocimiento previo ni experiencia para comenzar. A lo largo del curso, completará ejercicios en los que aplicará las habilidades que ha aprendido de una manera práctica, como completando una Auditoría de la eficiencia de los representantes, diseñando su proceso de ventas e implementando un proceso de entrenamiento mediante el modelo GROW.
EDUCBA
XML Practical - XSLT Files and Execution
This hands-on course provides learners with a comprehensive understanding of how to transform XML data using XSLT. Designed for learners with foundational XML knowledge, the course emphasizes practical applications across formatting, string processing, grouping, and conditional logic. Across six structured modules, learners will design structured templates, format and process textual and numeric data, and apply dynamic transformation logic to simulate outputs such as spreadsheets, address books, and report-like documents. Through real-world examples and progressive challenges, students will gain the skills to: Construct and manipulate XML data for transformation Apply reusable templates with parameters and conditions Format and output XML in text, CSV, or document-like layouts Implement grouping logic and namespace management Enhance accessibility and structure with whitespace control By the end of the course, learners will be able to analyze XML structures, develop modular XSLT solutions, and synthesize outputs that meet both technical and formatting requirements, aligning with mid to advanced Bloom’s Taxonomy skills like apply, analyze, evaluate, and create.
Real Madrid Graduate School Universidad Europea
Potencia y Rendimiento: Fundamentos de la Nutrición
Este curso presenta las bases científicas de la nutrición y el entrenamiento que impulsan el rendimiento en el fútbol de élite. A través de conocimientos basados en la evidencia del equipo de innovación y rendimiento del Real Madrid, los alumnos explorarán cómo los nutrientes, los sistemas energéticos y los procesos fisiológicos se combinan para alimentar el juego moderno. Desde la comprensión de los macronutrientes y la hidratación hasta el dominio del metabolismo y el equilibrio energético, el curso conecta los mecanismos biológicos con el rendimiento real en el campo. Descubrirá cómo los clubes de élite supervisan la nutrición, la hidratación y las cargas de entrenamiento para mejorar la recuperación, prevenir la fatiga y mantener el máximo rendimiento durante toda la temporada. Al finalizar el curso, comprenderá cómo alimentar, entrenar y recuperarse como un atleta de élite, construyendo la base para la excelencia deportiva a largo plazo.
Epic Games
Fundamentals of Level Design with Unreal Engine
In this course, you'll embark on a journey into the heart of game design through our Level Design course. Discover the art and theory that shapes player experiences, examining real-game examples to understand the nuances of level design. From single-player to multiplayer, grasp the principles that make each experience unique and engaging. Craft your level design skills for different game scenarios, creating personalized design documents that foster collaborative team efforts. Dive into the collaborative process, mastering the creation of comprehensive-level design documents that ensure a shared vision among team members. Experience the hands-on transformation of your conceptual-level sketches into playable environments using Unreal Engine. Explore the greyboxing process with Unreal Engine's tools, and follow best practices to bring your levels to life with lighting and traversal. By the end of the course, you'll confidently apply level design theory, turning your creative ideas into tangible results in Unreal Engine. Join us in unlocking the potential of your game design journey. This course is intended for learners who are interested in learning an introduction to level design without having any experience. It is recommended that learners complete course 1 and course 2 in this certification before starting.
Imperial College London
Evaluation of Digital Health Interventions
This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi-experimental design approaches that can be applied to evaluating digital health interventions and key considerations for the economic evaluation of digital health interventions.
Google Cloud
IA générative : se familiariser avec le domaine
Le cours "IA générative : se familiariser avec le domaine" est le troisième du parcours de formation "Leader en IA générative". L'IA générative change notre façon de travailler et d'interagir avec le monde autour de nous. En tant que responsable, comment pouvez-vous exploiter son potentiel pour obtenir des résultats commerciaux concrets ? Dans ce cours, vous allez découvrir les différentes couches qui composent une solution d'IA générative, les offres de Google Cloud et les facteurs à prendre en compte au moment de choisir une solution.
Coursera
Configuring your IDE for absolute beginners with AWS Cloud9
So by the end of this course, you will learn to set up an online IDE. For this, you will use the AWS cloud9 environment. You will learn to configure the AWS cloud 9 environment, you will explore the IDE, you will write some python programs, you will learn to create files and folders manually and through the command line . You will also learn to power off the instance and learn to delete the environment as well. Before starting this project, you must have an AWS account.
University of London
Film, Images & Historical Interpretation in the 20th Century: The Camera Never Lies
This course is a short taster on the topic of the use of Images, Film, and their use in historical interpretation in the 20th century. It is primarily provided for those who have a general interest in history that draws on photojournalism as primary evidence, and films based on historical events. Once you have completed this course we hope you will be equipped to: Appreciate the significance of photographs as historical evidence in the twentieth century. Understand the limitations of the medium, and how we can attribute meaning to these individual records of 'one moment in time' while taking into account the circumstances in which any particular image was taken. Understand how individuals and institutions have looked to manipulate images to their own ends – through alteration and/or censorship – and what that meant to contemporary interpretation, as well as subsequent historical interpretation. Put individual images into a wider context, and in particular with reference to history written, or portrayed, beyond academia: public history. Do be aware that part of the contents of this course regard images and depiction of war. Real wars and real images.
Meta
Introduction to Data Analytics
This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making. By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and their applications across different scenarios • Identify data gaps and articulate the strengths and weaknesses of collected data You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation in this program.
EDUCBA
Introduction to SIEM (Splunk)
This course provides a comprehensive understanding of Security Information and Event Management (SIEM) concepts and practical skills using Splunk as an SIEM solution. You will discover SIEM fundamentals, Splunk architecture, data collection and management, data analysis, and advanced topics such as correlation and incident response. By the end of the course, you will effectively apply Splunk for log analysis, threat detection, and security monitoring. Learning Objectives: Module 1: Introduction to SIEM and Log Management • Recognize SIEM fundamentals and its role in cybersecurity. • Comprehend the importance of SIEM in security operations. • Discover benefits like improved threat detection and regulatory compliance. Module 2: Splunk Architecture and Installation • Make acquainted with Splunk as a leading SIEM platform. • Acquire hands-on experience with Splunk's features. • Evaluate Splunk's capabilities with other SIEM solutions. Module 3: Data Collection and Management in Splunk • Discover data ingestion, parsing, and indexing in Splunk. • Organize effective data inputs and organize data efficiently. • Identify data retention policies for optimal data management. Module 1: Introduction to SIEM and Log Management Description: In this module, you will understand the fundamentals of SIEM and its importance in modern cybersecurity. You can describe the core concepts of SIEM (Security Information and Event Management) and accentuate its significance in contemporary cybersecurity practices. You would be able to identify the critical role SIEM plays in security operations and incident response. You will learn the advantages that organizations can gain by implementing SIEM solutions, including improved threat detection, enhanced incident response, regulatory compliance, and operational efficiency. Module 2: Splunk Architecture and Installation Description: In this module, you will familiarize yourself with Splunk as a leading SIEM platform. Discover the extensive features and capabilities offered by Splunk, which positions it as a prominent SIEM solution. Explore Splunk's abilities in log management, data collection, and advanced analysis techniques. Gain hands-on experience with Splunk's user interface and basic functionality. Interact with the Splunk interface to develop a comprehensive understanding of its different components and navigation. You will inspect and discuss Splunk's log management, data collection, and advanced analysis techniques. Compare and contrast Splunk's abilities with other SIEM solutions in the market. Summarize the key benefits of using Splunk for log management and data analysis. Module 3: Data Collection and Management in Splunk Description: The "Data Collection and Management" module in Splunk focuses on the various methods and techniques for ingesting, organizing, and efficiently managing data within the Splunk platform. It reports data ingestion using forwarders, APIs, and other sources, as well as data parsing, indexing, and retention strategies to ensure data is accessible and usable for effective analysis and monitoring in Splunk. You will discover how to configure and manage data inputs effectively to ensure the timely and accurate ingestion of data into Splunk. Discover the concepts of fields, tags, and event types in Splunk for organizing and categorizing data efficiently. Recognize data retention policies and strategies to control the lifecycle of data in Splunk, ensuring relevant data is retained while managing storage costs. Target Learner: This course is designed for cybersecurity professionals, IT administrators, and analysts seeking to enhance their SIEM skills. It is also suitable for those interested in using Splunk for security monitoring and incident response. Learner Prerequisites: You should have basic knowledge of cybersecurity concepts and familiarity with IT systems and networks. No prior experience with Splunk or SIEM is required. Reference Files: You will have access to code files in the Resources section. Course Duration: 7 hours 20 minutes The course is designed to be completed in 3 weeks, including lectures, practical, and quizzes
Banco Interamericano de Desarrollo
Diseño de Proyectos de Desarrollo
¿Sabes cómo hacer para que tus proyectos logren los resultados esperados? Un diseño adecuado es el primer paso hacia un proyecto exitoso. Este curso te brindará los conocimientos y herramientas fundamentales para diseñar proyectos de desarrollo sostenibles, evaluables y que cumplan con los objetivos propuestos. El contenido de este MOOC está basado en las mejores prácticas para el diseño de nuevos proyectos de desarrollo económico y social de acuerdo con el Marco de Efectividad para el Desarrollo del Banco Interamericano de Desarrollo (BID), lo cual te ayudará a mejorar la comunicación, efectividad y rendición de cuentas en tus proyectos. Además de videos, lecturas y ejercicios, podrás aplicar tus conocimientos a través de casos de estudio. Además, este MOOC hace parte de la Especialización en diseño y gestión de proyectos de desarrollo, que recoge el conocimiento y experiencia del BID en sus más de 60 años trabajando por mejorar la calidad de vida en América Latina y el Caribe, así como de buenas prácticas internacionales para la gestión de proyectos. Esta especialización se compone de los siguientes cursos: - Diseño de proyectos de desarrollo - Herramientas de gestión de proyectos de desarrollo - Gestión con enfoque en riesgos en proyectos de desarrollo
Google Cloud
Working with Cloud Dataprep on Google Cloud
Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
Microsoft
Data Visualization and Reporting with Generative AI
This course focuses on creating impactful data visualizations and interactive dashboards that effectively communicate complex insights. You'll learn to leverage AI-assisted tools to design visually stunning charts, graphs, and infographics that bring your data to life. The course covers advanced techniques for dashboard creation, enabling you to build dynamic, user-friendly interfaces for data exploration. By the end of this course, you'll be able to: - Explore and prepare datasets for visualization using generative AI, identifying key insights, patterns, and trends relevant to business objectives. - Create a variety of compelling and interactive data visualizations tailored to specific audiences and business needs, utilizing generative AI tools. - Produce detailed and structured reports that effectively summarize data insights, incorporating visualizations, narratives, and recommendations to drive decision-making with the assistance of generative AI. - Communicate complex data insights effectively to diverse audiences, using storytelling techniques, such as narratives, metaphors, and visual cues, to drive business impact.