The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Board Infinity
Learn Data Governance Workflows with Databricks Tools
Learn Data Governance Workflows with Databricks Tools is a meticulously designed course to help you understand and implement efficient data governance in your organization. The course begins by familiarizing you with the key principles of data governance and the role of Databricks in facilitating effective governance of data. This is followed by a deep dive into the core components of data governance such as frameworks, policies, roles, and regulatory considerations, as well as data quality and metadata management. The course is segmented into two distinct modules. Module 1, "Data Governance and Databricks - Fundamentals", provides a comprehensive understanding of the importance of data governance and the integral role of Databricks in the process. By the end of this module, you will be well-equipped with a fundamental understanding of data governance and the features of Databricks that support governance initiatives. Module 2, "Data Governance and Databricks - Application", focuses on practical applications of Databricks for data governance. You will learn how to manage data, implement governance workflows, manage metadata, and ensure security in Databricks. The module also explores best practices for data governance using Databricks and culminates with real-world examples and case studies highlighting successful data governance implementations. This course is perfect for data professionals, data governance analysts, data stewards, IT managers, and anyone interested in improving their organization's data governance using Databricks. Prior knowledge of Databricks is not a prerequisite, making it suitable for beginners as well as experienced professionals seeking to enhance their skills. By the end of this course, you'll understand the significance of data governance and the ways to leverage Databricks for it. You'll gain the ability to manage data, design governance workflows, and ensure security in Databricks, drawing from best practices and real-world examples. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
University of Colorado Boulder
Design of HVAC Distribution and Delivery Systems
Building energy systems are responsible for moving energy around in buildings through air, water, and refrigerant distribution systems to meet heating, ventilating, and air conditioning (HVAC) needs of the occupied spaces. This course will train engineers and architects to design these HVAC systems based on the engineering foundation established in the previous course. Students will learn the design objectives dictated by occupant comfort and health, apply engineering principles to heat and mass exchangers, design both air and water distribution systems, and explore alternative methods for providing indoor environmental comfort to occupants.
Board Infinity
Advanced Quality and Capstone Project
Master advanced quality assurance practices, from test strategies and risk-based methods to Agile and DevOps collaboration, and apply them in a real-world capstone project. This course equips you with the ability to design effective testing strategies, apply risk-based testing, use quality metrics, and collaborate within Agile and DevOps environments. You will start by creating advanced test strategies that align with project goals, applying risk-based testing methods, and tracking quality through key metrics. Next, you will explore how quality assurance operates in Agile and DevOps workflows, learning how to integrate testing into delivery pipelines, collaborate effectively with teams, and build continuous feedback loops that drive improvement. The course culminates in a structured capstone project where you will plan, execute, and reflect on a complete quality assurance cycle. You will create test cases, execute both manual and automated tests, log defects, and evaluate outcomes. This project simulates the real responsibilities of a quality assurance professional and helps you transition classroom learning into workplace application. By the end of this course, you will be able to: - Create test strategies using risk-based approaches and quality metrics. - Contribute to Agile and DevOps teams by embedding quality assurance practices into workflows. - Apply continuous feedback to improve testing processes. - Complete a full capstone project with planning, execution, and reflection. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
University of Pennsylvania
Removing Barriers to Change
What does it mean to truly change something? How does one persuade others to change? How do we reduce roadblocks to change? In this course, you’ll learn about the barriers to change and how to become more effective in inspiring change within others and your organization. Professor Jonah Berger of the Wharton School has designed this course to help you understand the REDUCE framework, and shows you how to develop your skills of persuasion and influence. By the end of this course, you’ll know both the strengths and weaknesses of certain strategies for removing barriers in change, plus you'll learn how to leverage those strategies to achieve change in both business and in life.
Dartmouth College
The American Renaissance and Mark Twain
This course explores Mark Twain's literary rivalry with Harriet Beecher Stowe and discusses why Huckleberry Finn’s story is labeled as a "tall tale". The module also defines "realism" and "naturalism" in terms of Twain's works. Next, it examines how blackface minstrelsy display the ambivalence as the basis for interracial bonds in the United States and compares the Adventures of Huckleberry Finn with Mark Twain's own autobiographical work, "Life on the Mississippi".
Coursera
GenAI for Legal Ethics and Practicality
In this course, you'll discover how to leverage AI while staying aligned with evolving ethical standards in legal practice. In today's fast-paced legal landscape, responsibly integrating AI is not just an advantage—it's essential. This comprehensive course guides you through the complex intersection of AI and legal ethics, providing practical lessons and real-world examples. Whether you're a tech enthusiast interested in ethical AI deployment or a legal professional looking to stay ahead, this course offers valuable insights. By the end, you'll have the skills to confidently use AI in your practice, ensuring compliance with all ethical guidelines. This course is designed for lawyers, legal executives, compliance officers, and AI enthusiasts eager to ethically integrate AI in legal settings. Learners should have an interest in AI and legal practice, with a commitment to ethical standards. No prior AI experience is needed, but basic legal knowledge and an openness to innovation will help you succeed. By the end of this course, you will be prepared to ethically and effectively harness AI's potential in your legal practice, ensuring both innovation and compliance.
Universitat Autònoma de Barcelona
Democracia y decisiones públicas. Introducción al análisis de políticas públicas
¿Qué son las políticas públicas? Son la plasmación más concreta de la política. Lo que los gobiernos hacen, y dejan de hacer, para hacer frente a los problemas colectivos. Este curso trata sobre cómo se decide qué problemas abordar y qué soluciones adoptar. Un proceso primordialmente político y social que suele escapar al análisis puramente racional. A lo largo del curso analizaremos por qué algunos problemas adquieren la categoría de problemas públicos mientras que otros no llegan a captar la atención, describiremos la pugna política que suele haber tras la descripción e interpretación de los problemas, identificaremos el complejo entramado de actores dispuestos a influir en la adopción de las políticas públicas, y cómo las discrepancias se suelen extender más allá de la toma de decisiones y hasta la aplicación práctica de la política pública. Trataremos también sobre las grandes dificultades que padecen gobiernos y actores sociales para llegar a saber si las políticas que se llevan a cabo son realmente útiles y cómo aprender a mejorar su rendimiento. Los objetivos de este curso son: 1. Mostrar a los alumnos un número de casos reales que ilustran la complejidad de los procesos de adopción de las políticas públicas, y cómo estos procesos pueden ser incoherentes con los modelos racionales de toma de decisiones. 2. Transmitir a los alumnos los fundamentos e instrumental del análisis de políticas públicas para que puedan afrontar creativamente problemas del mundo real. 3. Contribuir a que los alumnos sean ciudadanos conocedores del funcionamiento de los sistemas democráticos. Por ello, el curso se dirige a todas las personas interesadas en los problemas colectivos, así como a aquellas que quieran convertirse en participantes influyentes en el proceso de formación de las políticas, ya sea como analistas, funcionarios públicos, trabajadores del tercer sector, o como ciudadanos comprometidos en causas políticas. También se dirige a estudiantes que se dispongan a iniciar estudios de grado o postgrado en administración pública, gestión pública o análisis de políticas públicas.
Google Cloud
AlloyDB - Database Fundamentals
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you perform several key fundamental tasks for creating and managing AlloyDB for PostgreSQL instances and databases.
The University of Sydney
Ethical Social Media
Social media connects us across space and time, allowing us to find like-minded communities and participate creatively in public life as never before. We may often use social media without thinking much about the possible consequences. But there is a shadow side associated with social media use, which takes the form of hate speech, increased surveillance, lack of anonymity and questionable use of our data. What do we need to know to use social media spaces effectively, in a way that is safe and productive for all? This course will guide you into a deeper exploration of online identity, social media communities and their users. You will examine the ways that social media is being used by public institutions such as government to build participation and conversation with audiences. You will encounter the most common ethical debates in social media. You will also have the opportunity to build your practical skills by developing your professional social media profile, defining your audience, building your social media influence and understanding how to interpret data analytics to "listen" and communicate well.
University of California San Diego
Internet of Things V2: DragonBoard™ bring up and community ecosystem
Do you want to develop skills to prototype embedded products using state-of-the-art technologies? In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC). This is the first in a series of courses where you will learn both the theory and get the hands-on development practice needed to prototype Internet of Things products. This course is suitable for a broad range of learners. This course is for you if: - You want to learn how to use learn how to use Linux for embedded purposes. - You want to pivot your career towards the design and development of Internet of Things enabled products - You are an entrepreneur, innovator or member of a DIY community Learning Goals: After completing this course, you will be able to: 1) Know where you can find resources and help in the 96Boards ecosystem. 2) Describe the DragonBoard™ 410c peripherals, I/O expansion capabilities, Compute (CPU and Graphics) capabilities, and Connectivity capabilities. 3) Understand how to navigate and make use of the Linux terminal. 4) Configure at least one integrated development environment (IDE) for developing software. 5) Make use of Git and GitHub for version control purposes. 6) Create and build projects that interface with sensors and actuators through GPIO and Arduino.
Google Cloud
Google Cloud でストリーミング データ パイプラインを構築する
このコースでは、ストリーミング データ パイプラインの構築時に直面する実際の問題を解決するために、実践的な演習を行います。ポイントは、Google Cloud プロダクトを使用して、絶えず流れ続けるデータを効果的に管理することです。
Google
Play It Safe: Manage Security Risks
This course takes a deeper dive into concepts introduced in the first course, with an emphasis on recognizing the focus of the CISSP eight security domains, steps of risk management, security frameworks and controls (e.g., NIST, CIA triad, OWASP), as well as common security threats, risks, and vulnerabilities. Additionally, learners are provided with an opportunity to explore and analyze SIEM data, use a playbook to respond to identified threats, risks, and vulnerabilities, and conduct a security audit. By the end of this course, you will: - Identify the common threats, risks, and vulnerabilities to business operations. - Understand the threats, risks, and vulnerabilities that entry-level cybersecurity analysts are most focused on. - Comprehend the purpose of security frameworks and controls. - Describe the confidentiality, integrity, and availability (CIA) triad. - Explain the National Institute of Standards and Technology (NIST) framework. - Explore and practice conducting a security audit. - Use a playbook to respond to threats, risks, and vulnerabilities.
Universidade Estadual de Campinas
Revisão Sistemática e Meta-análise
Este curso introduz um tipo de estudo conhecido por revisão sistemática. Vamos aprender sobre como a revisão sistemática se distingue das demais. Para isso esmiuçaremos cada uma de suas etapas: estruturar perguntas factíveis, organizar buscas por evidências científicas, selecionar artigos de maneira confiável, coletar dados dos artigos selecionados, avaliar a qualidade da evidência disponível, sintetizar o conjunto de evidências, atribuir confiança na síntese e divulgar no ambiente científico. Organizamos o curso em vídeos e textos curtos para ajudá-lo a compreender esses assuntos. O curso dispõe de exercícios e tutoria para orientá-lo da melhor forma. Usando as técnicas de revisão sistemática, independentemente do seu interesse em realizar uma, você pode mudar sua percepção sobre a evidência científica. Se você já participou de uma revisão sistemática e conhece os bastidores da pesquisa, as dicas ajudarão você a aproveitar melhor o seu tempo no seu próximo estudo. Se você sempre quis entender o que é revisão sistemática, este curso servirá como seu roteiro.
Coursera
Applying Python for Data Analysis
This course is perfect for data analysts, business professionals, and anyone looking to level up their Python skills using Pandas. Participants will dive deep into Pandas to gain expertise in data manipulation, cleaning, and analysis, turning raw data into actionable insights. Python is the Goliath behind giants. We're talking Google, NASA, Netflix—all harnessing its power for web development, data crunching, AI, and more. And Python isn’t just popular; it’s a powerhouse. Dominating as the fastest-growing major programming language, it’s captured 28.3% of the developer community, thanks to its simplicity and versatility. Learners will work with a real-world data set, analyzing customer data for a Burger restaurant, its sales data and demographics. This hands-on approach ensures learners are ready to handle complex data analysis tasks, make data-driven decisions, and communicate their findings effectively. This course is tailored for Data Analysts, Business Analysts, and Python Programmers who are looking to advance their data analysis skills. It is ideal for professionals who regularly work with data, generate reports, and provide insights that support business decisions. Participants should have a strong interest in leveraging Python to enhance their analytical capabilities and improve their data-driven decision-making processes. Participants should have basic proficiency in Python, as the course involves constructing and manipulating data structures using Python libraries. Additionally, an understanding of fundamental statistical concepts is necessary, including measures of central tendency and variation, normal distribution, and correlation. This foundational knowledge will enable participants to effectively grasp and apply more advanced data analysis techniques taught in the course. After completing this course, learners will be able to construct and manipulate data structures using Pandas, analyze and visualize data sets to extract meaningful insights, and evaluate and apply advanced data analysis techniques such as time series analysis and data aggregation. This will empower them to handle complex data analysis tasks and make informed, data-driven decisions in their professional roles.
University of Michigan
Becoming a Social Entrepreneur: Getting Started
Do you have an idea that could help solve a societal problem? Are you wondering if starting a social enterprise is the best way to go forward? You are thinking about becoming a social entrepreneur! In this course, you’ll critically examine what makes for a good idea, and whether that idea requires starting a new business. You’ll craft a personal immersion plan while considering different ways to create impact. You’ll explore the personal challenges and connections to your life’s purpose before deciding to commit to becoming a social entrepreneur. Each week, you’ll see and hear from 11 real-life social entrepreneurs, working around the world, and sharing the lessons they’ve learned as well as the mistakes they’ve made and how you can overcome them. Among their experiences are: providing clean water in India and the Dominican Republic, warming premature babies without incubators, improving education in Africa and Detroit, and providing affordable fresh food to low-income residents of Los Angeles. Ultimately, you’ll be able to decide whether your idea is necessary for the world, and if starting a social enterprise is the right path for you. This course is based on the book “Becoming a Social Entrepreneur: Starting Out, Scaling Up and Staying True” by Michael Gordon.
Erasmus University Rotterdam
A starter’s guide to Open Science
Welcome to the Erasmus University Rotterdam Open Science MOOC! This course aims to empower researchers and research support professionals with foundational knowledge to conduct, support, and disseminate research efficiently and responsibly. This MOOC consists of 8 modules that cover the most common open science practices. At the end of this MOOC, you will be able to define open science and its main values, identify the main open science movements and practices, and recognize open science practices that you can incorporate in your workflow.