The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Universidades Anáhuac
Customer Success: Conociendo al cliente
¿Qué es Customer Success? Es una estrategia colaborativa que se centra en descubrir anticipadamente las necesidades de nuestros clientes y ayudarlos a sacar el mayor provecho sobre los productos o servicios que les ofrecemos con el fin de transformar la experiencia del cliente y generar fidelización. Esta relación que se trabaja a largo plazo, no se centra únicamente en el servicio al cliente sino en la experiencia del mismo, ayuda a genera lealtad, retención del mercado, éxito del cliente y una rentabilidad sostenible tanto de nuestra empresa como del propio cliente. Para lograr estos resultados es necesario hablar de un proceso colaborativo que se da, tanto al interior de la compañía (aliados y equipo de customer success/ área de customer success), como al exterior con nuestra base de clientes. Es decir, es una estrategia que involucra a departamentos como el de mercadotecnia, ventas, servicios, capacitación, soporte, diseño, entre otros y que deben ser liderados por un gerente de éxito del cliente (el customer success manager). Esta estrategia ayuda a entender a nuestros clientes -así como a nuevos clientes-y anticipar sus necesidades, comprender el ciclo de vida del cliente, ser proactivo para otorgar una mejor experiencia (customer experience), aumentar el nivel de satisfacción del cliente, entender las preguntas de los clientes, así como ayudarlos a transformar sus negocios; esto se traduce en una relación más profunda, en donde no solo se logra la retención de clientes sino en fidelización y evita que se genere una tasa de cancelación (churn rate) eficientando el proceso de compra y posventa. Este curso permitirá conocer la importancia de desarrollar habilidades de negociación, liderazgo, servicio al cliente y gestión con los clientes, para poder así ofrecer experiencias exitosas a los clientes.
Cisco Learning and Certifications
Introducing Model-Driven Programmability
In this course, you will learn about Model-Driven Programmability and its use of YANG data models to provide a standardized way to access network devices and their capabilities. You will be introduced to YANG's terminology and structures and the tools and protocols that rely on YANG, including NETCONF and RESTCONF. Additionally, you will learn how to use Python libraries to interact with NETCONF and RESTCONF-enabled systems. By the end of the course, you will have a comprehensive understanding of Model-Driven Programmability and YANG's importance in network automation. By the end of this course, you will be able to: - Explain the role YANG plays within a network automation context. - Describe the tools that exist to simplify working with YANG models. - Describe the functionality of RESTCONF and NETCONF and the differences between them. Proficiency in fundamental network routing & switching technologies, basics of Python programming (3-6 mos exp.), and basic Linux knowledge.
University of California San Diego
Algal Blooms and Proliferations
This course is intended to provide information to the general public who may be curious after seeing a TV clip or read a news article about harmful algal bloom. It will cover 13 of the known toxins associated with harmful algae, their impacts on human and animal health, and how we detect those toxins and their associated algae. Harmful and nuisance algae are a global phenomenon. They are found in marine and freshwater systems. They can impact human and animal health, the food supply, the water supply, and tourism. Lastly, this course will discuss the different techniques used for mitigating the presence of harmful algae, their impact on water bodies and recreation, as well as how they might be in your food. It is intended to follow up our first three courses: Introduction to algae, Algal biotechnology, and Introduction to seaweeds. This course was produced by the Algae Technology Educational Consortium and UC San Diego with funding from the Algae Foundation, the National Renewable Energy Lab, and the U.S. Department of Energy.
DeepLearning.AI
Unsupervised Learning, Recommenders, Reinforcement Learning
In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
Eindhoven University of Technology
Lightcap 3: Light in outdoor contexts
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP 3 “Light in outdoor contexts” explores the principles of lighting and its effects on humans in various outdoor settings from the perspectives of pedestrians and drivers, covering topics such as alertness, wakefulness and attentiveness, but also feelings of safety and aesthetics. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is predominantly in (environmental) psychology. In this course you will: (1) Be able to understand and explain concepts of arousal, anxiety and fear. (2) Understand different perceived safety measurement methods and be able to explain their advantages/disadvantages. (3) Be able to interpret the link between urban lighting and feelings of safety. (4) Learn about road lighting standards (P-class) and understand the purposes and benefits of minor road lighting. (5) Be able to understand the link between light and alertness, why this could matter for pedestrians, and learn about methods to assess alertness in lighting research. (6) Be able to understand and explain the concept of cognitive workload and the relationship between cognitive workload and driving performance (7) Learn how to measure cognitive performance in practical applications such as driving (8) Be able to understand and explain the concepts of attention, alertness and mystery and understand how different attention levels can influence our perception and behaviour (9) Be able to reflect on what might be the advantages/disadvantages of using lighting design for attention benefits. (10) Learn how to measure the energy consumption of a road lighting installation (11) Get familiar with currently available road lighting standards and be able to reflect on what might be a beneficial change in the big picture considering all aspects of a change in road lighting installation. (12) Develop knowledge about the challenges of outdoor lighting design and to demonstrate an understanding of light pollution (definition and types). (13) To understand the impact of light pollution on people’s safety and wildlife.
Google
Interagir com sistemas operativos
Neste curso, através de uma combinação de palestras em vídeo, demonstrações e experiências práticas, vai adquirir conhecimentos acerca dos componentes principais de um sistema operativo e como realizar tarefas críticas, como gerir software e utilizadores e configurar hardware. Vamos terminar com um exemplo de como este conteúdo pode surgir no contexto de uma entrevista. No final deste curso, será capaz de: ● Navegar nos sistemas de ficheiros do Windows e do Linux através de uma interface gráfica do utilizador e de um intérprete de linha de comandos. ● Configurar utilizadores, grupos e autorizações de acesso a contas. ● Instalar, configurar e remover software nos sistemas operativos Windows e Linux. ● Configurar partições do disco e sistemas de ficheiros. ● Perceber como funcionam os processos dos sistemas e como os gerir. ● Trabalhar com registos de sistemas e ferramentas de ligação remota. ● Utilizar os conhecimentos sobre os sistemas operativos para resolver problemas comuns como especialista de apoio técnico de TI.
Meta
Coding Interview Preparation
The final course in this program will help prepare you for the unique aspects of a coding job interview, with approaches to problem-solving and computer science foundations needed to land the job. Ultimately you’ll gain strategic insights and tips for successful interviewing. By the end of this course, you'll have knowledge of: • Appropriate communication during a coding interview • Successful interviewing strategies • Using pseudocode • The fundamentals of computer science • The capabilities of data structures and how to implement them • How to review data structures in the context of coding interviews • The concept of algorithms and common approaches to working with them • How to visualize an algorithm • Combining new and previously learned coding patterns to solve problems Ideally, you should have completed all the courses in this professional certificate.
University of Maryland, College Park
Platform Product Development
Are you someone who likes to “tinker with technology” but don’t know anything about writing code or programming languages? This class will satisfy that excitement by diving headfirst into a number of well-known Low Code/No Code platforms and their no-code tools without the perquisite of coding skills. Showing you the fundamentals to get you interested to see more. We will cover exciting topics like data modeling best practices, creating a solid and consistent user experience and building automations and workflows your users will love. We will also touch on some of the LCNC strategies in support of integrations (leveraging open APIs) and discuss strategies for managing data sources. In the first course (Platform Product Essentials) of this certificate, we discussed some of the history behind LCNC platforms and the roles of the key players that support your success when building applications. This class is all about app development. Students will be asked to dive into a LCNC tool and define and build a LCNC app using the methodologies provided to create no-code solutions. For this class we will dive into the functionality of your own app. You can come out of this course calling yourself an app builder or, even better, a citizen developer! As part of this class, we will be assigned a common use case and build an app front/dashboard. Here we will focus on the front-end and back-end perspective through low-code app development and different no-code softwares. These are intentionally designed so that non-programmers, who have never written a single line of code, can still develop.
Coursera
Visme pour les débutants
À la fin de ce projet, vous aurez toutes les compétences de base pour utiliser Visme, outil en ligne de conception et d’édition de visuels Marketing. Vous serez capable de découvrir en détail les différentes fonctionnalités de la plateforme, et serez en mesure de tester les outils de création de contenu graphique pour la première fois.
Google Cloud
Introduction to GKE Networking
In this course, the first in the Configure Google Kubernetes Engine Networking series, you'll learn how to use the Google Cloud Architecture Center to get started designing a VPC networking solution to support a GKE infrastructure.
University of Arizona
Strategic Digital Marketing: Digital Marketing Foundation
Establish a solid foundation in digital marketing by exploring its evolution, major channels, consumer behavior, user experience design, and content marketing strategies. This course equips you with essential knowledge to understand how digital marketing differs from traditional approaches and how to leverage digital channels to build brand equity and engage customers. By the end of this course, you will be able to: 1. Identify and differentiate major digital marketing channels 2. Explain how digital marketing differs from traditional approaches 3. Analyze factors influencing online consumer behavior 4. Apply UX design principles to improve user experience 5. Describe content marketing strategies for brand storytelling 6. Integrate foundational concepts to develop digital marketing strategies
Erasmus University Rotterdam
Excel Modeling for Professionals: Best Practices & Pitfalls
What sets this Excel course apart is that we don’t focus on quick fixes or specific tips and tricks. This course is for those who already understand Excel. The aim of the course is to elevate Excel models, to improve clarity, longevity, and transferability of these models, and to reduce mistakes and to encourage consistency in businesses as they work with Excel. Through this Excel course learners will gain the tools to decide whether or not to use Excel to solve their problem. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their Excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models. Finally users will get practical tips and steps for the finalization of a model, the automated checks, the manual run through, and general testing that one should do to ensure that their Excel model is accurate and complete.
Amazon Web Services
Machine Learning Essentials for Business and Technical Decision Makers
In this course, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business problem, and describes what components are needed for a successful organizational adoption of ML. We recommend that attendees of this course have: • Basic knowledge of computers and computer systems • Some basic knowledge of the concept of machine learning
Pragmatic AI Labs
Databricks Lakehouse Fundamentals
Learn to build data pipelines on the Databricks Lakehouse Platform — from architecture concepts to hands-on Spark and Delta Lake. This beginner course starts with why the lakehouse pattern replaced separate data warehouses and data lakes, then moves directly into the Databricks workspace where you'll configure compute, write PySpark and SQL queries, and manage data with Unity Catalog's three-level namespace. Week by week, you'll progress from navigating the platform to transforming DataFrames with select, filter, groupBy, and joins, then to creating Delta Lake tables with ACID transactions, schema enforcement, and time travel. You'll perform real DML operations — INSERT, UPDATE, DELETE, and MERGE — and learn to schedule production pipelines using Databricks Jobs with DAG-based orchestration. The course runs entirely on Databricks Free Edition, so there's no cloud billing. Six hands-on labs reinforce each module: explore the workspace, write notebook-based transformations, build Delta tables, and wire up an automated workflow. By the end, you'll have built a complete data engineering pipeline from raw ingestion through Delta Lake to scheduled production jobs.
Yale University
East Asian Religions & Ecology
At first glance the fields of religion and ecology may seem and unlikely pairing, but a deeper consideration reveals the two have a great deal to contribute to one another and are indeed inextricably linked. Religions recognize the unity and interdependence of humans with nature. Ecological sciences affirm this deep interconnection with the natural world. This partnership can inspire work for the wellbeing of the Earth community There is a need for broader literacy and deeper knowledge of the world’s religions and their ecological contributions. This specialization, "Religions and Ecology: Restoring the Earth Community", contributes such a perspective. Each course celebrates the vitality of religiously-informed action for the Earth and recognizes the longstanding contributions of Indigenous peoples in offering visions and practices for ecological flourishing. This course is part 4 of 5 of the "Religions and Ecology: Restoring the Earth Community" specialization that focuses on the ecological dimensions of religious traditions throughout the world. The course you are about to begin is designed as a gateway to these aspects of the East Asian religions, philosophies, and practices of Confucianism, Daoism, Buddhism, Shinto, and Shamanism. So much has emerged in the last several decades in this area, as you will see. While we have taught this course at Yale, we have adapted it for learners from a wide range of backgrounds. This course is for lifelong learners curious to know more about world religions and ecology, environmental professionals eager to deepen the discourse of environmental protection and conservation, those working with non-profit organizations and NGOs on issues of ecological justice, and religion leaders and laity who wish to know how they can contribute to interreligious dialogue on environmental projects.
Edureka
Fundamentals of Data Governance
Welcome to the Fundamentals of Data Governance course. This program will equip you with essential knowledge in data governance, enabling you to create and apply a foundational governance governance framework that ensures data integrity, security, regulatory compliance, and efficient data management within an organization. Throughout the course, you’ll learn from real-world examples of successful governance implementation across industries. You’ll explore specific regulations such as GDPR and HIPAA, helping you understand how to meet compliance requirements and strengthen organizational trust. By completing this program, you will be able to: -- Describe the core principles of data governance and its role in managing and controlling an organization's data assets effectively. -- Analyze and compare various data governance frameworks and models used in organizations. -- Explore tools and technologies that support governance initiatives, including their practical use. -- Examine cloud-based governance advantages and assess leading cloud service providers for governance solutions. -- Draft actionable data policies, establish data stewardship roles, and implement access controls to safeguard information. This course includes case studies, tool demonstrations, and role-based scenarios to provide an experiential learning environment. It is designed for Freshers, Data Professionals, Project Managers, Data Stewards, Quality Assurance Professionals, Legal and Compliance Officers, Executives and Managers, Database Administrators, and Business Analysts. Prior experience with AWS services like DataZone is beneficial but not mandatory. By the end of this course, you will be well-prepared for career roles in data governance, compliance, and data stewardship. You will gain practical skills in governance strategy, master best practices, and apply effective data management techniques to ensure organizational success.