The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Salesforce
Lead Management in Salesforce
The second course in the Salesforce Sales Operations Professional Certificate, Lead Management in Salesforce, is for anyone who is curious about entry level sales roles that require foundational skills in Salesforce, the sales operations specialist role specifically, and how to use tools in Salesforce to manage leads in a real world business setting. This second course will give you a foundational understanding of how to help sales and marketing teams optimize the lead management process. Specifically, this course shows how a sales operations specialist would support a marketing associate and sales development representative to make the lead management more effective and efficient. You will learn the basics of data management, how to upload lead data into Salesforce, and then how to effectively train team members to manage leads using the different tools available in the Salesforce Sales Cloud. These are crucial skills for anyone interested in entry level sales jobs. For this course, it is recommended (but not required) that you have some background knowledge of sales and CRM, as well as an understanding of the basics of Salesforce platform navigation. If you're a total beginner with these concepts, you can still be successful in this course — however, it might require some additional work on your part. By enrolling in this course, you are taking the next step to kickstarting your career in Salesforce. Congratulations on continuing this exciting journey!
University of Pennsylvania
Applying to U.S. Universities
“It depends.” That is what you’ll hear when asking about the U.S. university admission process. With over 4,000 universities in the United States and no standard application system, the U.S. admission process can be confusing for everyone, but especially for students applying from other countries. This course will help international students (non-U.S. citizens) and non-native English speakers navigate the U.S. university admission process by offering practical information about the documents and pieces that make up a U.S. university application. More importantly, admission officers will discuss how they use those pieces to decide who is accepted and who is denied, so that you can understand the process beyond the pieces. By the end of this course, you will understand application basics that include researching schools, creating a school list, and establishing an application plan. This course will not answer all of your application questions, but it will teach you to ask the right questions of yourself and the universities. Ultimately, you will have all the information you need to start your process the right way, putting you on the path to acceptance. * Please note, while the English Language Programs are part of the University of Pennsylvania, this is not a course about applying to Penn. Furthermore, this course is intended for international students educated in the national curriculum of their country. While other students are welcome to enroll, the course is not intended for American students or students studying in an American, International Baccalaureate, or Advanced Placement curriculum. The course is also intended for students who do not have access to university counseling – if you attend a school that offers university counseling, your counselor is the best source of information on applying to university. Finally, this course is for undergraduate (Bachelors degree) freshmen (students who have not attended any university) applicants. Undergraduate transfer applicants, students who have attended a university, will find some of the information helpful, but graduate (Masters and Doctoral) applicants will not.
Google Cloud
Pivot Tables in Google Sheets
This is a self-paced lab that takes place in the Google Cloud console. Create pivot tables to quickly summarize large amounts of data and reference data using named ranges. Use functions and formulas to calculate descriptive statistics.
Dartmouth College
Introduction to German Opera
This course gives us an introduction to German Opera and the evolution of opera as well. It explores the concept of how music conveys the drama throughout the course. You will understand how Wagner conveys the meaning of the opera through motives. It further explores musical gestures and how it helped various composers develop their style in opera as well. You will understand in detail the importance of orchestra in German Opera.
Amazon Web Services
Increasing Application Security: Bedrock Guardrails & GenAI
This course delves into the intersection of generative AI security and application development, with a specific focus on prompt injection and Amazon Bedrock guardrails. Designed for practical implementation, this course equips participants with the knowledge and skills needed to build safeguarded GenAI applications while protecting against common security vulnerabilities such as prompt injection attacks. Through hands-on demonstrations, technical deep-dives, tech talks, and expert insights, participants will learn how to use Amazon Bedrock guardrails and implement security measures in their GenAI applications. The course culminates with a special tech talk featuring industry experts discussing cutting-edge security practices in the GenAI landscape.
Korea Advanced Institute of Science and Technology(KAIST)
Electrodynamics: Electric and Magnetic Fields
This course is a continuation of Electrodynamics: An Introduction and Electrodynamics: Analysis of Electric Fields. Here, we will introduce magnetostatics and relate it to the material we learned previously. In addition, we will cover the basics of the electromotive force and how it can be used to build different devices. Learners will • Be able to use solutions from electric fields and relate them to other subjects (heat transfer, diffusion, membrane modeling) • Understand Maxwell's equations in the context of magnetostatics • Be introduced to energy and quantum mechanics relating to magnetic forces By relating the concepts in this lecture to other fields, such as heat/mass diffusion, and describing their potential applications, we hope to make this course applicable to our students careers. Because this course covers both basic concepts and device construction, we have designed it to be useful for researchers and industry professionals alike. The approach taken in this course complements traditional approaches, covering a fairly complete treatment of the physics of electricity and magnetism, and adds Feynman’s unique and vital approach to grasping a picture of the physical universe. Furthermore, this course uniquely provides the link between the knowledge of electrodynamics and its practical applications to research in materials science, information technology, electrical engineering, chemistry, chemical engineering, energy storage, energy harvesting, and other materials related fields.
Packt
Natural Language Processing - Transformers with Hugging Face
Updated in May 2025. This course now 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. This course offers a deep dive into the world of Natural Language Processing (NLP) using Hugging Face's Transformer models. It will equip you with the skills to implement cutting-edge NLP techniques such as sentiment analysis, text generation, named entity recognition, and more. By the end of the course, you will be proficient in applying these models for practical applications in Python. You will start with an introduction to the core concepts behind Transformers, including their evolution from Recurrent Neural Networks (RNNs) to attention mechanisms. The course covers a broad array of topics such as sentiment analysis, embeddings, semantic search, text summarization, and neural machine translation. Each concept is paired with a Python implementation, allowing you to build hands-on experience and gain confidence in real-world NLP applications. Throughout the course, you'll be guided step-by-step through practical examples using the Hugging Face library, which simplifies model training and deployment. By the time you finish, you'll have a solid understanding of various NLP tasks and how to apply Transformers to solve them. You'll also gain insights into advanced topics like masked language modeling, question answering, and zero-shot classification. This course is designed for learners looking to expand their knowledge of NLP, especially those who have a basic understanding of Python and machine learning. If you're eager to get hands-on experience with Hugging Face Transformers and work on real-world applications, this course will be an invaluable resource.
Coursera
Engineer AI Models: Explain, Tune & Experiment
Engineer AI Models: Explain, Tune & Experiment prepares program and project managers to guide AI projects beyond “just working” toward being trusted, explainable, and reproducible. You’ll learn how feature engineering and hyperparameter tuning improve model performance, how explainability methods like SHAP and LIME build stakeholder confidence, and how structured experimentation ensures reliable results. Through real-world scenarios — from boosting fraud detection F1 scores, to presenting credit approval models to risk committees, to planning experiments in Jupyter — you’ll gain the skills to ask the right questions, guide technical teams, and translate complex model outputs into business impact. By the end, you’ll know how to move AI projects from black box to business-ready.
Duke University
Data Tidying and Importing with R
Build confidence working with messy, real-world data. In this course, you’ll learn how to import, clean, and organize data in R so that it’s ready for analysis, visualization, or modeling. Using dplyr, tidyr, and other Tidyverse tools, you’ll practice joining datasets, reshaping data, and creating efficient data pipelines that support reproducible work. You’ll also explore how to responsibly collect and scrape data from online sources, including ethical and legal considerations. By the end of this course, you’ll know how to transform raw datasets into structured, tidy formats and you’ll understand how responsible data handling and documentation are essential to high-quality, ethical data science.
EDUCBA
Shell Programming Essentials
This course is a comprehensive introduction to shell programming and Unix automation, designed for learners who want to build a strong foundation in system-level scripting. Using the Bash shell as the primary environment, the course guides learners through the step-by-step progression from basic command-line interactions to advanced scripting constructs. Through carefully structured modules and practical assessments, students will identify key Unix and shell programming concepts, demonstrate scripting techniques, and construct effective automation solutions. Emphasis is placed on applying, analyzing, and evaluating shell commands, scripting syntax, variable management, control flow logic, file testing, and I/O redirection to real-world use cases. By the end of the course, learners will be able to develop full-featured shell scripts that streamline system tasks, perform condition-based logic, handle user inputs and arguments, and operate across diverse Unix-based environments with confidence and clarity.
Coursera
GenAI for IT Project Managers
"GenAI for IT Project Managers" is designed to introduce IT project managers to the revolutionary world of GenAI technologies. This course provides an essential understanding of how GenAI can be integrated into IT project management to enhance efficiency, decision-making, and innovation. The content is tailored specifically for IT project managers who are looking to incorporate advanced technologies into their projects and workflows. This course is designed for team leads, senior project managers, and aspiring IT project managers who are eager to leverage GenAI technologies to enhance their project management capabilities. Whether you are a seasoned IT professional looking to innovate within your projects or an up-and-coming manager seeking to distinguish yourself, this course offers valuable insights into the integration of GenAI tools and methodologies in project management. Participants should have a foundational understanding of IT project management, including key project lifecycle stages and processes. While a deep technical background is not required, familiarity with IT infrastructure and software development cycles will help contextualize the application of GenAI in project management. By the end of this course, learners will understand how GenAI can enhance key IT project management functions, including project tracking, risk management, and communication. You'll gain insights into the limitations of GenAI, learn to apply its tools in real-world scenarios, and explore the ethical considerations of its use. Additionally, you'll develop strategies for integrating GenAI into your projects and reflect on its transformative impact on project management.
University of Michigan
Inspiração e motivação de indivíduos
Neste curso, você aprenderá como criar uma visão compartilhada para sua equipe e como comunicá-la de forma eficaz aos seus colegas. Você também aprenderá como definir metas e expectativas eficazes de forma a melhor permitir que sua equipe alcance a visão compartilhada. Por fim, você entenderá as necessidades e os fatores de desempenho mais importantes entre culturas e aprenderá a alinhar as recompensas com os comportamentos desejados para que seus colegas sejam motivados a atingir os objetivos da equipe. A motivação representa um desafio crucial para as organizações contemporâneas: Uma pesquisa recente da Gallup revelou que apenas 13% dos trabalhadores em todo o mundo exibem altos níveis de engajamento e motivação. Vamos mostrar por que esses problemas de motivação não acontecem apenas devido a um membro da equipe que seja “ruim” ou esteja “desmotivado”. Em vez disso, a motivação é fortemente impulsionada pelas condições de trabalho que criamos para nossos colegas de equipe, a forma como estruturamos metas e objetivos e como recompensamos as pessoas pela realização dessas metas. Este curso ajudará você a diagnosticar e resolver problemas de motivação para que possa trazer o melhor de seu pessoal.
Coursera
Use Python Unit Test to Demonstrate TDD
By the end of this project, you will use the python unittest package to create an application using test-driven development (TDD). Test Driven Development or TDD involves writing tests before the python application is implemented. Writing the test before implementing the code means the tests should fail when they are executed, which removes the likelihood of a test returning a false positive result. It also is another means of verifying the code specification, especially if the tests are written by a person or group outside of the core development team. Finally, the tests may be executed every time a code modification occurs to keep the code base in check. 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.
University of California, Irvine
Data Visualization Best Practices
In this course, we will cover the basics of visualization and how it fits into the Data Science workflow. We will focus on the main concepts behind the purpose of visualization and the design principles for creating effective, easy-to-communicate results. You will also set up your Tableau environment, practice data loading, and perform univariate descriptive analysis of the S&P 500 stock sectors.
Dartmouth College
Engineering of Structures: Response of Structures
This course explores the impact of different forces on the construction of bug buildings. It provides an overall understanding of how buildings respond to different forces that impact their designs. The first module introduces you to the concept of the overall response of structures. The second module explores different types of loads and their impact on the design of large structures. It also gives a detailed explanation of how buildings fall due to earthquakes. In addition, the module offers an explanation on the impact of mass and stiffness on building response. The third module explores how to build a cardboard chair. You'll also learn how to work with SketchUp Make.
Coursera
Crea tu tarjeta de presentación con canva
En este curso basado en un proyecto y de 1,5 horas de duración, aprenderás a crear tu tarjeta de presentación con Canva, aprenderás también a personalizar el diseño para definir cada uno de los atributos que desees presentar a quienes le entregues tu tarjeta. También aprenderás a modificar un template, con el fin de que en adelante puedas utilizar distintos templates y comprender a cabalidad sus partes, pudiendo personalizarlo a tu disposición. Es un curso de bases, por lo cual no necesitas tener conocimientos previos de Canva.