The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Illinois Urbana-Champaign
Supply Chain of Agriculture
Learners will be introduced to the production and distribution of agricultural commodities and food products. Topics will cover the full range of the agriculture supply chain, from pre-farm to the consumer, to provide students with a better understanding and appreciation for where and how crops and livestock are produced, and the systems used to distribute products to consumers. As a result of completing this course, learners will be able to describe the global nature of food chains from input supply to final consumer and explain the important drivers of demand for food products throughout the world. This course is part of the College of ACES suite of online programs, including the graduate certificate, "Agribusiness and Sustainable Food Production Economics" that can be stacked toward an advanced degree in the College of ACES or the Gies College of Business. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.
Packt
Python for Data Analysis and Automation
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. Unlock the potential of Python in data analysis and automation with this comprehensive course. Designed to cater to beginners, it guides you through Python essentials, offering hands-on experience for real-world applications. You'll gain the skills needed to automate repetitive tasks and analyze data efficiently, setting you apart in today's tech-driven workplace. The course begins with an introduction to Python's significance, covering its comparison with other programming languages and practical applications. Progress through foundational topics such as data types, variables, functions, and debugging to build a strong base. Exercises and examples ensure a thorough understanding of key concepts. In the latter sections, delve into advanced data handling, Python modules, and the installation process. Apply your knowledge in an engaging project to automate data updates in spreadsheets, tackling tasks like file management, transaction validation, and script optimization. This hands-on project equips you with skills you can use immediately in a professional setting. Perfect for beginners, this course requires no prior coding experience. Whether you're entering the tech field or looking to enhance your automation skills, this course empowers you to master Python for impactful results.
Coursera
Social Media: Schedule and Respond Like a Pro
Master the essential skills every digital marketer needs to streamline social media operations and deliver consistent customer engagement. Are you spending hours manually posting content and struggling to respond to customer comments in a timely, brand-appropriate way? This Short Course was created to help Digital Marketing professionals accomplish efficient social media management through proven scheduling tools and systematic response frameworks. By the end of this course, learners will confidently manage basic scheduling workflows and maintain a professional, consistent online voice. By completing this course, you'll be able to identify the leading scheduling platforms that automate content distribution across networks and implement template-based response systems that ensure consistent, professional customer interactions within required timeframes. You'll gain practical knowledge of industry-standard tools and develop workflows that reduce manual effort while improving response quality and speed. By the end of this course, you will be able to: Recognize popular scheduling tools used for social media content Apply response templates to address customer comments on social media This course is unique because it focuses on operational efficiency rather than content creation, giving you the systematic approaches that separate professional social media managers from casual users. To be successful in this course, you should have basic familiarity with major social media platforms and understand fundamental customer service principles. By the end of this course, learners will confidently manage basic scheduling workflows and maintain a professional, consistent online voice.
University of Virginia
Artificial Intelligence in Marketing
AI is everywhere! By harnessing the power of Artificial Intelligence, businesses and marketers have amazing growth potential, and the opportunities to enhance marketing with AI are always expanding. But how can businesses use AI tools to drive their success and gain sustainable competitive advantages? What are the challenges faced by businesses as they implement AI into their marketing strategies? In this course, developed at the Darden School of Business at the University of Virginia, and delivered by Professor of Business Administration Raj Venkatesan, you will explore an important frontier of digital transformation in marketing. You will examine three key forces that enable AI in marketing strategies - Algorithms, Networks, and Data - and gain a deeper understanding of how businesses in a wide variety of industries can get the most out of this exciting technology. You will see real world examples of successful companies like Ford, Netflix, and the Washington Post using AI to take on the competition in new and creative ways, and hear from experts about how AI is shaping the present and the future in their respective industries. You can learn more about Raj by following his posts on Twitter (@rajkumarvenk) and on LinkedIn: https://www.linkedin.com/in/education-marketing.
Google
Prepare and Practice for Interviews with AI
Build interview confidence through comprehensive preparation using AI-powered practice tools. You'll explore different interview types including behavioral, technical, case study, and panel interviews, learning best practices for each format. This course teaches you the STAR method for structuring compelling responses to behavioral questions and shows you how to use NotebookLM for thorough interview preparation and research. You'll practice interviewing using Gemini Live in a supportive environment and learn effective post-interview follow-up strategies, including crafting professional thank-you messages that help you stand out to employers. By the end of this course, you will be able to: - Prepare for different interview formats and create compelling professional pitches using AI tools to make strong first impressions - Apply the STAR method to structure interview responses and use NotebookLM for comprehensive interview preparation and company research - Conduct effective mock interviews using Gemini Live and implement professional follow-up strategies to maintain positive impressions with potential employers
Peking University
软件工程
欢迎大家选修北京大学开设的软件工程MOOC课程。 随着信息技术的发展，软件已经深入到人类社会生产和生活的各个方面。软件工程是将工程化的方法运用到软件的开发、运行和维护之中，以达到提高软件质量，降低开发成本的目的。软件工程已经成为当今最活跃、最热门的学科之一。 本次软件工程MOOC课程是一门导论性课程，在11周、21次课的时间里，我们将全面介绍软件工程所涉及的各方面知识，包括软件过程、软件需求、结构化分析和设计方法、面向对象分析和设计方法、敏捷开发方法、软件测试、软件项目管理、软件开发工具和环境。通过课程讲授，让大家初步了解软件开发和维护的方法学，为进一步深入学习各专题打下基础。 课程还包含了实践环节，通过一个小型软件项目，大家可以体验软件开发的各个环节，并形成项目管理的意识。 一、本次课程的安排如下： 第1周 软件工程概论、软件过程 第2周 软件需求 第3周 结构化方法1 第4周 结构化方法2 第5周 面向对象方法1 第6周 面向对象方法2 第7周 面向对象方法3 第8周 面向对象方法4、敏捷开发方法 第9周 软件测试 第10周 软件项目管理 第11周 软件开发工具和环境 二、课程实践 本课程提供了三个实践题目，每个实践题目已列出三点基本需求，可在课程介绍的讲义中查看。请结合自身兴趣爱好从中任选其一，在仔细阅读并思考基本需求的基础之上额外补充一个需求，以此作为系统需求完成本次课程实践。 课程实践分为三个阶段，分别在第4周、第7周和第10周进行结构化方法、面向对象方法、软件测试和项目管理的实践，完成相应的文档报告。 实践成绩由同学互评给出，每位同学需要给其他三位同学的报告评分。 三、课程评分方案 在新的课程版本里，我们将课程实践所占的分数从30%降低到了12%。但我们依然鼓励同学们积极地完成课程实践的练习，加深对课程的理解。 （1）平时Quiz占88% （2）课程实践占12% 祝大家学习愉快！
Packt
SCCM Installation & Client Configuration
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 comprehensive course, you’ll learn how to install and configure SCCM (System Center Configuration Manager), a powerful tool for managing enterprise-level Microsoft infrastructures. From setting up your environment to configuring client installations and settings, this course will walk you through every step. By the end of the course, you’ll have the skills to deploy and manage SCCM in real-world scenarios, ensuring you’re ready to optimize device management for your organization. The course begins with foundational lessons, starting with building a lab environment either in Hyper-V or Azure. You’ll gain practical insights into the architecture and site design for SCCM and learn how to configure the setup wizard for installation. Throughout the course, we focus on planning and installing SCCM, covering key elements such as site roles, right-sizing hardware, and managing boundaries and boundary groups—critical components for a successful deployment. The second part dives deep into client configuration, where you’ll master various client installation methods, discover Active Directory integration, and explore client settings. You'll even learn about alternative discovery methods like Azure AD, networks, and system heartbeats. This hands-on approach ensures you understand both the theory and practical applications of SCCM installation and configuration. This course is perfect for IT administrators and professionals responsible for SCCM implementation and management. No prior SCCM experience is required, but a basic understanding of enterprise IT environments will be helpful. It’s ideal for those looking to enhance their skills in device management using Microsoft’s endpoint management solutions.
Google Cloud
Accelerate App Development with Gemini CLI
This course is designed for app developers and DevOps engineers who want to work smarter by using Gemini CLI, a generative AI agent made for the terminal and powered by Gemini. This course discusses Gemini CLI installation and configuration, and introduces use cases and security best practices. It explains commands, tools, MCP servers, and extensions. With a hands-on exercise, you'll install and configure Gemini CLI and use it to analyze code and build and modify an app.
DeepLearning.AI
Custom and Distributed Training with TensorFlow
In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the difference between the eager and graph modes in TensorFlow, and learn how to use a TensorFlow tool to calculate gradients. • Build your own custom training loops using GradientTape and TensorFlow Datasets to gain more flexibility and visibility with your model training. • Learn about the benefits of generating code that runs in graph mode, take a peek at what graph code looks like, and practice generating this more efficient code automatically with TensorFlow’s tools. • Harness the power of distributed training to process more data and train larger models, faster, get an overview of various distributed training strategies, and practice working with a strategy that trains on multiple GPU cores, and another that trains on multiple TPU cores. The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models.
University of Virginia
Gestão de produtos digitais: Princípios básicos modernos
Há pouco tempo, o trabalho do gerente de produto era avaliar dados de mercado, criar requisitos e gerenciar a transferência para vendas/marketing. Talvez você conversaria com um cliente em algum lugar e ele diria quais recursos ele quer. Mas as empresas que gerenciam produtos dessa maneira estão morrendo. Ser uma pessoa de produto hoje é um jogo novo, e os gerentes de produto estão no centro disso. Hoje, especialmente se o seu produto for principalmente digital, você pode atualizá-lo várias vezes por dia. Há uma enorme coleção de dados disponíveis para tomar decisões e, ao mesmo tempo, insights profundos sobre a motivação e a experiência do cliente são mais importantes do que nunca. O trabalho do gerente de produto moderno é determinar uma direção e criar um ambiente de trabalho bem-sucedido para todos os atores envolvidos no sucesso do produto. Não é um trabalho simples ou um trabalho fácil, mas é um trabalho significativo em que você aprenderá o tempo todo. Este curso ajudará você ao longo de sua jornada de aprendizagem e o preparará com as habilidades e perspectivas necessárias para: Criar o foco acionável para gerenciar seu produto com sucesso (semana 1) Concentrar seu trabalho usando métodos modernos de gestão de produtos (semana 2) Gerenciar novos produtos e explorar novas ideias de produtos (semana 3) Gerenciar e amplificar produtos existentes (semana 4) Este curso é ideal para os gerentes de produto ou gerentes gerais atuais interessados nos métodos modernos de gestão de produtos. Este curso foi desenvolvido com o generoso apoio do Batten Institute na Escola de Negócios Darden da UVA. A missão do Batten Institute é melhorar o mundo por meio do empreendedorismo e da inovação: www.batteninstitute.org.
University of Michigan
사람, 기술, 모빌리티의 미래
사람, 기술, 모빌리티의 미래 강좌에 오신 것을 환영합니다! 이 강좌는 모빌리티 분야에서 현재 활용하고 있는 주요 기술 혁신 중 일부를 일반인을 대상으로 소개하고, 학습자가 이러한 기술의 사회적 영향을 이해할 수 있도록 다양한 사회과학적 개념을 적용해 보도록 지원합니다. 모든 분야의 학습자가 수강할 수 있으며, 공학 또는 사회과학 분야에 대한 사전 교육을 받지 않아도 됩니다. 이 강좌에서 소개되는 콘텐츠는 여러 인터뷰와 강의를 바탕으로 Siemens와의 파트너십을 통해 제작되었습니다. 이 강좌에는 학습자가 자율주행 자동차 주요 구성 요소를 살펴보고, 자율주행 자동차를 타고 이동하며, 현재와 미래의 스마트 시티에서 볼 수 있는 새로운 감지 기술에 대해 알아볼 수 있는 대화형 360도 비디오 경험도 포함되어 있습니다. 학습자는 이 강좌를 통해 더 안전하고 깨끗하며 형평성을 갖춘 미래 모빌리티를 상상해 볼 수 있습니다. 모빌리티 분야에서 발전하고 있는 두 가지 주요 기술 부문인 전동화와 자동화의 최근 기술 발전과 사회 경제적, 정책적 영향을 살펴보겠습니다.
Logical Operations
R Programming: Setup and Data Processing
This course will be useful to anyone who wants to learn the R programming language, particularly to leverage it for data analysis and data science tasks. You will begin by setting up an R development environment and executing simple code. Then, you'll process atomic data types like characters, numbers, and logical. You'll also process data structures like vectors, factors, and data frames. This is the first course in a multi-course Specialization. All of the courses in this Specialization require that you have R and R Studio installed on a Windows PC. The course setup instructions provided in the first module of this course go into more detail about the hardware and software requirements.
Board Infinity
Building iOS Applications with UIKit and SwiftUI
Master the art of building powerful iOS applications with Building iOS Applications with UIKit and SwiftUI. In this course, you will learn to create dynamic, user-friendly apps using both UIKit and SwiftUI. You’ll start by mastering the fundamentals of UIKit, focusing on view hierarchies, layouts, and navigation controllers, before diving into the flexibility and power of SwiftUI. By the end of this course, you will be able to build fully functional applications that feature adaptive interfaces, efficient navigation, and integration with Apple services. Throughout the course, you will: - Understand UIKit essentials, including view controllers, auto layouts, and segues. - Gain hands-on experience creating dynamic interfaces with SwiftUI’s declarative syntax. - Implement core Apple services like CoreLocation, notifications, and alerts to enhance app functionality. - Manage app state and navigation in both UIKit and SwiftUI environments. What makes this course unique is its combination of UIKit and SwiftUI, offering a comprehensive approach to building modern iOS applications. Whether you’re looking to master UIKit or explore the power of SwiftUI, this course provides a balanced and practical learning experience. Note: This is the second course in the End-to-End iOS Development Mastery: Building, Integrating, Deploying with Swift specialization series. Continue your learning journey with the next course to complete your mastery of iOS development! Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Apple Inc. or any of its subsidiaries or affiliates. This course is not an official preparation material of Apple Inc.. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Coursera
GenAI for Call Centers: AI-Driven Customer Success
In this course, you'll gain hands-on experience with cutting-edge AI tools like ChatGPT’s Canvas Mode, Custom GPTs, and Voice Mode to optimize workflows and improve efficiency. Whether you're a customer service professional, call center manager, or AI enthusiast, this course will equip you with the skills needed to integrate AI into your customer interactions seamlessly. This course is designed for customer service professionals, call center managers, and AI enthusiasts looking to enhance their workflows with AI-powered tools. Whether you’re new to AI or already familiar with customer support operations, this course will provide practical insights and hands-on experience to optimize call center efficiency. It is particularly beneficial for those working in customer service, insurance, finance, or e-commerce who want to integrate AI-driven automation into their daily tasks. To make the most of this course, learners should have a basic understanding of customer service workflows and call center operations. Familiarity with digital communication tools like chat platforms or CRM software is recommended. While prior AI experience is not required, a general knowledge of AI concepts and automation will be helpful. Most importantly, learners should have a willingness to experiment with AI tools like ChatGPT to enhance customer interactions and improve service efficiency. By the end of this course, you will have gained the knowledge and hands-on experience needed to leverage Generative AI for optimizing customer interactions, automating workflows, and enhancing overall call center efficiency. You’ll be equipped with practical skills in using ChatGPT’s Canvas Mode, Custom GPTs, and Voice Mode to improve customer engagement and streamline operations. As AI continues to reshape the customer service landscape, your ability to integrate AI-driven solutions will set you apart in the industry. Keep exploring, experimenting, and refining your AI strategies to stay ahead in delivering exceptional customer experiences.
University of Cambridge
Foundations of Corporate Finance
Through this course you will not only learn key financial concepts, but how to apply them to a business to improve its financial prospects. As you know, sustainable businesses need to earn consistent and predictable profits, but it is important to understand how these are calculated. Different accounting techniques, and how to value a business are explored throughout the sessions below: Whether one of your KPIs is Total shareholder return, or you want to understand the figures associated with your capital investments, this course will de-mystify financial reports and help you to make balanced assessments of risks and opportunities.
GitLab
How to Manage a Remote Team
Remote management is much more than just implementing a work-from-home policy. In this course, you’ll learn and apply remote work best practices, build your remote work policy, and prepare your team for success. This course is ideal for current managers, executives, and human resources professionals who want to learn how to lead and support a high-functioning, scalable remote team. GitLab is one of the world’s largest all-remote organizations; experts from throughout the company will guide you through in-depth lessons for leaders, people managers, and HR professionals to build, manage, and scale. By the end of this course, you will be able to: - Lead in a remote environment - Build a remote organizational culture and practices - Assess teams’ and managers’ readiness and preparation for remote work - Create a foundational strategy for executing a remote transformation For the final project in this course, you will create a real or hypothetical strategic plan to transition a team to remote operation. You will assess your organization's remote maturity and infrastructure, and identify the best team structure for remote operation — including determining whether to use an all-remote or remote-friendly model. You'll outline plans for documentation, education, leadership, and equipment or resource needs for your unique organization. This is an intermediate-level course, intended for learners who have previous experience managing or leading people. To succeed in this course, you should have at least one year of management experience. No remote experience is required.