The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Goldman Sachs
Fundamentos de Planejamento Financeiro com o 10,000 Women da Goldman Sachs
Este curso online gratuito é um dos 10 cursos disponíveis na coleção 10,000 Women da Goldman Sachs, projetado para empreendedoras prontas para levar seus negócios para o próximo nível. Neste curso, você começará a entender o valor do planejamento financeiro e como ele pode lhe ajudar a avaliar as oportunidades de negócios. Você considerará o ciclo de fluxo de caixa de sua empresa e seu impacto no crescimento e sucesso do seu negócio. Você ouvirá das alunas Alumni do 10,000 Women da Goldman Sachs sobre os benefícios de realizar sua análise de fluxo de caixa e explorar os exercícios que irão guiá-la na compreensão, criação e interpretação de sua Previsão de Fluxo de Caixa. Você desenvolverá habilidades essenciais para realizar as previsões de fluxo de caixa da sua empresa. Ao final do curso, você se sentirá mais confiante ao avaliar as oportunidades de negócios e prever os desafios financeiros futuros, para que possa tomar decisões estratégicas para o seu negócio à medida que ele cresce. Para completar todos os exercícios deste curso, você precisará coletar informações financeiras importantes de sua empresa. Se precisar de ajuda para entender as suas finanças, você pode concluir um dos outros cursos do programa 10,000 Women, ‘Fundamentos de Finanças da Empresa’, para ajudá-la a se preparar. A coleção de cursos 10,000 Women oferece uma experiência de aprendizagem online verdadeiramente flexível. Você tem a liberdade de abordar o programa da maneira que for melhor para você -– faça qualquer curso, ou combinação de cursos, para adaptar sua jornada de aprendizado às necessidades individuais de crescimento de seus negócios. Se você optar por fazer todos os 10 cursos, você irá explorar todos os elementos-chave do seu negócio e desenvolver um plano completo para o crescimento do mesmo. Você pode descobrir mais sobre a coleção 10,000 Women da Goldman Sachs nas páginas de FAQs.
Coursera
Data Science Coding Challenge: Loan Default Prediction
In this coding challenge, you'll compete with other learners to achieve the highest prediction accuracy on a machine learning problem. You'll use Python and a Jupyter Notebook to work with a real-world dataset and build a prediction or classification model. Important Information: How to register? To participate, you’ll need to complete simple steps. First, click the “Start Project” button to register. Next, you’ll need to create a Coursera Skills Profile, which only takes a few minutes. We’ll send you a profile link the week of the challenge. When does the challenge start? The coding challenge begins Tuesday, August 29th, at 8 AM (PST) and closes Thursday, August 31st, at 11:59 PM (PST). If you’re registered, you’ll receive a reminder email on the challenge start date. Please note this is a timed competition. Once the challenge is unlocked, you’ll have 72 hours to complete it. You can submit as many times as you would like within this timeframe. What will the winners receive? Participants will be evaluated based on their model’s prediction accuracy. The top 20% of participants will receive an achievement badge on their Coursera Skills Profile, highlighting their performance to recruiters. The top 100 performers will get complimentary access to select Data Science courses. All participants can showcase their projects to potential employers on their Coursera Skills Profile. Winners will be notified by email the week of September 10th. Good luck, and have fun!
Packt
The Complete Project Management Fundamentals Course
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. Embark on a journey through the core principles of project management, starting with foundational concepts such as defining projects, setting budgets, schedules, and resource allocation. You will learn to navigate the complex phases of project delivery and explore change management strategies crucial for adapting to evolving project demands. The course also covers valuable insights not typically found in standard training, including guesstimating techniques and the qualities that distinguish outstanding project managers. In the Agile Essentials section, you will dive deep into Agile methodologies, understanding its history, principles, and the culture it fosters. You’ll explore various Agile tools and practices, including roles, artifacts, and rituals, gaining a solid grasp of how to implement Agile successfully. Detailed explanations of Agile concepts such as sprints, backlogs, and user stories will enhance your ability to manage dynamic project environments effectively. A real-world case study illustrates Agile’s practical application in healthcare and supply chain industries. The course also introduces you to key project management tools like Jira, Microsoft Teams, and Trello. Through practical tutorials, you’ll learn how to set up, customize, and utilize these tools to streamline project planning and coordination. From creating efficient workflows in Jira to organizing tasks in Trello and leveraging Microsoft Teams for digital collaboration, this course equips you with the skills to lead projects with confidence and precision. This course is ideal for aspiring project managers, professionals seeking to transition into project management, and current project managers looking to refine their skills. A basic understanding of business operations is beneficial but not required, as the course covers fundamental concepts and progressively introduces more advanced topics.
EDUCBA
Financial Analysis & Tax Accounting: Apply & Evaluate
By the end of this course, learners will be able to analyze financial statements using horizontal, vertical, and ratio-based techniques, apply activity ratios to assess efficiency, and evaluate shareholder returns through profitability and payout measures. Additionally, learners will be able to explain the fundamentals of income taxes, analyze deferred tax liabilities and assets, and apply accounting standards to interpret tax implications in financial reporting. Learners will benefit from a carefully designed structure that begins with financial analysis fundamentals before progressing into advanced income tax accounting. This logical sequence ensures that participants develop both the analytical mindset to interpret business performance and the technical knowledge to handle complex tax scenarios. What makes this course unique is its integration of financial performance evaluation with taxation, two areas often taught separately. Through case studies, practical exercises, and real-world examples, learners gain not only conceptual clarity but also hands-on application. Whether you’re preparing for professional exams or aiming to strengthen career readiness, this course equips you with practical skills to apply, interpret, and evaluate financial data effectively.
Coursera
Design a Customer Satisfaction Survey with Typeform: A Beginner's Guide
During this project, you will be able to create a customer satisfaction survey in a single click with Typeform, which is an online form creation tool that will simplify the conception of different forms dedicated to data collection. You will be able to assess the degree of satisfaction of your target, which will allow you to take the necessary business actions afterwards. This project is for beginners and people who want to create a customer satisfaction survey.
Coursera
Managing a Remote Team Workspace in Clockify
In this project, you will set up a workspace for a team in Clockify to track employee hours for a new start-up. Clockify is a great free software for time tracking and generating reports. It will help your business stay organized and prepare for future growth. 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.
S.P. Jain Institute of Management and Research
Effective Employee Retention Strategies to Combat Attrition
This course aims to equip executives/ Leaders with the Skills, Tactics and Strategies that are necessary to develop and implement effective retention strategies within their organizations. Participants will explore various retention methods and techniques that are relevant to the contemporary workforce, understand the importance of employee engagement, and learn how to create a supportive and inclusive workplace culture that fosters long term commitment of the workforce. Upon completing this course, you will: 1. Diagnose impact of employee motivation on Employee Retention 2. Examine retention issues at various stages of an Employee life cycle/ career stages 3. Analyse the role of "Reverse Mentoring" in motivating the Millennials 4. Formulate Strategies for creating an inclusive, positive and an engaged workforce 5. Address issues of turnover and satisfaction 6. Derive strategies for retaining team members 7. Understanding appropriate leadership styles and behaviours to facilitate employee retention 8. Examine the dimensions of Leadership Coaching 9. Building perspectives and skills on mentorship, coaching and counselling 10. Designing and Delivering customized Retention Plans 11. Overcoming challenges in Employee retention 12. Evaluating metrics and measures on Employee retention and applying retention analytics to mitigate attrition
Johns Hopkins University
Calculus through Data & Modeling: Applying Differentiation
As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data analysis. The topics in this course lend themselves to many real-world applications, such as machine learning, minimizing costs or maximizing profits.
Google
데이터 분석을 통한 해답 찾기
Google 데이터 애널리틱스 수료증 과정의 다섯 번째 강좌입니다. 이 강좌에서는 데이터 애널리스트 직무에 필요한 입문 수준의 스킬을 배우게 됩니다. 여기서는 데이터 분석 과정 중 ‘분석’ 단계를 살펴봅니다. 지금까지 배운 내용을 분석에 적용하여 수집한 데이터의 의미를 파악해볼 것입니다. 데이터를 다양한 방식으로 바라보고 생각할 수 있도록 스프레드시트와 SQL을 사용하여 데이터를 구성하고 형식을 지정하는 방법을 배웁니다. 비즈니스 목표를 달성하기 위해 데이터에서 복잡한 계산을 수행하는 방법도 학습합니다. 분석을 위해 수식, 함수, SQL 쿼리를 사용하는 방법을 배웁니다. 현직 Google 데이터 애널리스트가 최고의 도구와 리소스를 사용하여 일반적인 데이터 애널리스트 작업을 완료하는 실습을 제공하고 지도합니다. 이 수료증 과정을 완료한 수강생은 데이터 애널리스트로서 입문 수준의 직무에 지원할 역량을 갖추게 됩니다. 관련 경험은 필요하지 않습니다. 본 강좌의 목표는 다음과 같습니다. - 분석을 위해 데이터를 구성하는 방법을 알아봅니다. - 데이터 형식을 지정하고 데이터를 조정하는 과정을 살펴봅니다. - 스프레드시트와 SQL을 사용하여 데이터를 집계하는 방법을 이해합니다. - 스프레드시트에서 수식과 함수를 사용하여 데이터로 계산합니다. - SQL 쿼리를 사용하여 계산을 완료하는 방법을 배웁니다.
DeepLearning.AI
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
ESSEC Business School
Leadership d'excellence par le sport de haut niveau
Ce Mooc est un autre regard sur le leadership. Il définit la notion de leadership au travers des témoignages de sportifs de haut niveau (Michaël Jeremiasz, Florence Masnada, Sarah Ourahmoune, Florian Rousseau, Lilian Thuram) avec des analyses de Guy Ontanon (entraîneur national pour les relais et le sprint). Il ressort de l’expérience de ces grands sportifs cinq composantes du leadership (Trouver les mots et savoir traduire – Organiser le court terme pour le long terme – Rechercher l’explosivité – Combiner et prendre des risques – Développer la confiance) que les directeurs des chaires ESSEC Changement et IMEO, David Autissier et Jean-Marie Peretti rapprochent de théories et outils du leadership.
Pearson
Securing Your DevOps Pipelines
Security is the top concern of businesses today. This course shows developers how to mitigate security risks by implementing DevSecOps best practices. Every organization with a DevOps framework should be looking to shift toward a DevSecOps mindset, bringing individuals of all abilities and across all technology disciplines to a higher level of proficiency in security. From testing for potential security exploits to building business-driven security services, a DevSecOps framework that uses DevSecOps tools ensures security is built into applications rather than being bolted on haphazardly afterwards. In this course, Milecia McGregor covers how DevSecOps improves upon regular DevOps pipelines. She covers the tools and methodologies you can use to bring DevSecOps to your organization. By the end of the course, you will know how to build a DevSecOps pipeline and how to integrate different tools to handle the OWASP Top Ten, as well as compliance checks to stay up to date with regulations like HIPAA, PCI, and GDPR.
LearnQuest
Core Sales Operations and Performance
This beginner-level Sales Team Management Specialization equips early-career professionals, career-switchers, and new managers in India and the USA with the essential tools to lead, motivate, and develop high-performing sales teams in diverse business environments. Learners will master foundational leadership, communication, and analytical skills necessary to thrive in today’s fast-changing, cross-cultural sales markets. Through situational exercises and real-world scenarios, participants will learn proven strategies for motivating teams, building and managing pipelines, leveraging technology, and driving sustainable sales outcomes. Key motivations include strengthening team performance, adapting to regional buyer behaviors, and catalyzing professional growth in both traditional and emerging markets. Upon completion, learners will confidently step into sales management roles, ready to deliver impact in global and local contexts.
DeepLearning.AI
Modèles de séquence
Cette formation vous apprendra à construire des modèles pour le langage naturel, l’audio et les autres données de séquence. Grâce à l’apprentissage profond, les algorithmes de séquence fonctionnent beaucoup mieux qu’il y a deux ans ; nous disposons donc de nombreuses applications très intéressantes en matière de reconnaissance vocale, de synthèse musicale, de chatbots, de traduction automatique, de compréhension naturelle du langage, etc. Vous allez: - Comprendre comment construire et former des réseaux neuronaux récurrents (RNN) et des variantes couramment utilisées telles que les GRU et les LSTM. - Être capable d’appliquer des modèles de séquence à des problèmes de langage naturel, y compris la synthèse de texte. - Pouvoir appliquer des modèles de séquence à des applications audio, incluant la reconnaissance vocale et la synthèse musicale. C’est le cinquième et dernier cours de la spécialisation Apprentissage profond. deeplearning.ai travaille également en partenariat avec le NVIDIA Deep Learning Institute (DLI) dans le cours 5, Modèles de séquence, afin de fournir une affectation de programmation sur la traduction automatique avec l’apprentissage en profondeur. Vous aurez la possibilité de construire un projet d’apprentissage en profondeur avec un contenu de pointe, pertinent pour l’industrie.
American Museum of Natural History
Ecology: Ecosystem Dynamics and Conservation
This course is an introduction to ecology and ecosystem dynamics using a systems thinking lens. Through a case study on Mozambique's Gorongosa National Park, learners will explore how scientists study ecosystems, and investigate the complex array of factors that inform management efforts. At the end of the course, learners will be able to grapple with real-world conservation questions, such as whether an ecosystem can recover from anthropogenic disruption and what role humans can, and should, play in that recovery.
Coursera
Введение в оценку компаний с WACC
В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: вычисление стоимости долевого капитала с помощью CAPM, вычисление стоимости долгового капитала, вычисление средневзвешенной стоимости капитала, вычисление чистой приведенной стоимости инвестиции. Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов. Контент данного курса не является инвестиционной рекомендацией.