The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Craft and Audit Content
Content Lifecycle Management: From Creation to Optimization is an intermediate-level course designed for marketers, content strategists, and aspiring writers who want to master the full lifecycle of digital content. In today's competitive landscape, simply creating content isn't enough; it must be engineered to perform and strategically managed for long-term value. This course equips you with the dual skills of creation and optimization, transforming you into a data-informed content manager. You will learn to write a compelling, 600-word blog post that balances a unique brand voice with the scientific principles of SEO, including keyword density and on-page optimization. Then, you'll shift from creator to analyst, diving into a simulated Google Analytics export to audit a content library. You'll learn to analyze key performance metrics like traffic, time-on-page, and conversions to identify high-potential articles that are ripe for a refresh. Through hands-on projects, real-world case studies from giants like HubSpot and Backlinko, and practice with a modern content toolkit, you will develop a repeatable system for creating content that ranks and refining existing assets to continuously drive traffic and conversions. At every stage of the content lifecycle, marketers must make trade-offs between visibility, relevance, and brand integrity.
EDUCBA
Apply Video Editing Fundamentals Using Adobe Premiere Pro
By the end of this course, learners will be able to identify key stages of video production, apply core editing tools in Adobe Premiere Pro, create visually engaging edits using effects and motion, compose professional titles and graphics, and export high-quality videos for final delivery. This beginner-friendly course provides a structured, hands-on introduction to Adobe Premiere Pro CC, guiding learners step by step from setting up a project to producing a polished final video. Learners will gain practical experience working with timelines, clips, audio synchronization, text, effects, transitions, compositing, and motion graphics. Through progressive modules, the course builds both technical skills and visual storytelling awareness, ensuring learners understand not just how to edit, but why specific editing decisions matter. What makes this course unique is its tool-by-tool, workflow-driven approach, combined with real-world editing techniques such as scene detection, opacity masking, green screen compositing, branding animations, and export optimization. The course is ideal for aspiring video editors, content creators, marketers, and students who want a strong foundation in professional video editing using industry-standard software.
EDUCBA
Unreal Engine Game Design: Build, Implement & Optimize
This hands-on course guides learners through the complete process of designing and optimizing a maze-based game in Unreal Engine using blueprints. Across four progressive modules, learners will explore fundamental and advanced gameplay mechanics — from populating mazes with interactive objects to implementing teleport zones, player respawn systems, and immersive enemy AI behavior. Learners will build gameplay logic, apply teleportation and win conditions, implement dynamic enemy states and AI-driven navigation, and design a responsive HUD for real-time feedback. By integrating audio, animations, and structured AI phases, students will analyze game flow, develop interactive systems, and evaluate performance to ensure smooth, engaging experiences. By the end of the course, learners will have the ability to create, customize, and optimize a polished Unreal Engine game project that demonstrates mastery of navigation meshes, enemy variations, child blueprints, and dynamic HUD layouts. This course equips students with the skills to design, implement, and refine professional-quality gameplay systems using Unreal Engine’s visual scripting tools.
Google Cloud
Professional Cloud Security Engineer の取得に向けた準備
このコースは、Professional Cloud Security Engineer（PCSE）認定試験への準備に役立ちます。受講者は、一連の講義、診断用の問題、理解度チェックを通じて試験内容についての理解を深め、準備を整えることができます。このコースを修了した暁には、受講者それぞれに独自のワークブックができあがるので、認定試験に向けてほかにどのような準備を行うべきかがわかるようになります。
Coursera
Evaluate Total Costs for Optimal Procurement
Master the financial strategy of modern procurement by moving beyond simple price comparisons to a holistic, value-driven approach. This course is designed for procurement professionals, analysts, and business leaders who want to make optimal purchasing decisions by leveraging Total Cost of Ownership (TCO) analysis. You will learn to systematically identify all relevant cost drivers, from logistics and maintenance to the time value of money, and build robust financial models in a spreadsheet environment. Through practical, hands-on activities and expert-led screencasts, you will master the techniques to calculate and compare the Net Present Value (NPV) of competing supplier bids. The course culminates in you producing a data-driven, executive-level award recommendation, equipping you with the skills to confidently justify strategic sourcing decisions that deliver the best long-term financial value for your organization.
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Course Overview: https://youtu.be/JgFV5qzAYno Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. By the end of the course, you can achieve the following using python: - Import, pre-process, save and visualize financial data into pandas Dataframe - Manipulate the existing financial data by generating new variables using multiple columns - Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts - Build a trading model using multiple linear regression model - Evaluate the performance of the trading model using different investment indicators Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.
Ball State University
Introduction to Data Science
We reside in a world experiencing an explosion of information, with a rapid and exponential growth of data. This surge in data captures increasing interest across various fields. Data science involves the gathering of extensive data and the fusion of domain expertise, programming skills, mathematics, and statistical knowledge to derive meaningful insights. Given the breadth and depth of data science, this course aims to furnish you with a comprehensive theoretical foundation and framework to initiate your journey in this field. "Data" permeates every aspect of data science. The course is divided into five parts, each centered around core topics related to "data". The initial part introduces data ethics, outlining the ethical issues surrounding data collection, usage, and reporting. The second part delves into data collection, acquisition sources, and data structures. The third part focuses on cutting-edge research in Data Science, immersing you in the realm of data science. The fourth part acquaints you with basic data processing using programming, specifically in R, the prevailing data analytics tool. Here, you will gain familiarity with R fundamentals, execute basic data wrangling tasks, develop an understanding of data storage and management, and gain experience in data visualization. The fifth part of the course imparts fundamental knowledge of probability and statistics, preparing you to move to the next stage of exploration.
Packt
Advanced CNNs, Transfer Learning, and Recurrent Networks
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 intricate workings of advanced Convolutional Neural Networks (CNNs), Transfer Learning, and Recurrent Neural Networks (RNNs). This course begins with a thorough exploration of CNNs, delving into sophisticated architectures like VGG16 and practical applications through multi-part case studies. Each segment is designed to build your foundational knowledge and practical skills incrementally. Transitioning into Transfer Learning, the course explores pivotal models such as AlexNet, GoogleNet, and ResNet. You will engage with numerous hands-on sessions, applying transfer learning techniques to real-world datasets. These sessions are meticulously crafted to ensure a robust understanding of how pre-trained models can accelerate your projects and improve outcomes. The course culminates with an in-depth study of Recurrent Neural Networks, including Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRUs). By working through comprehensive case studies, you'll gain practical experience in applying RNNs to sequential data tasks such as part-of-speech tagging and text generation. Each module is designed to provide a seamless learning experience, combining theoretical insights with practical implementation. This course is tailored for data scientists, machine learning engineers, and AI enthusiasts with a solid understanding of basic neural networks and Python programming. Prerequisites include prior experience with deep learning frameworks such as TensorFlow or Keras, and familiarity with fundamental machine learning concepts.
University of Michigan
Python에서 데이터베이스 사용하기
이 과정은 학생들에게 SQL(Structured Query Language)의 기초와 다단계 데이터 수집, 분석 및 처리 노력의 일환으로 데이터를 저장하기 위한 기본 데이터베이스 설계를 소개합니다. 본 과정은 SQLite3를 데이터베이스로 사용합니다. 또한 웹 크롤러와 다단계 데이터 수집 및 시각화 프로세스를 구축합니다. D3.js 라이브러리를 사용하여 기본 데이터 시각화를 수행합니다. 본 과정은 ‘Python for Everybody’의 14-15장을 다룹니다. 이 과정을 성공적으로 마치려면 교과서의 1-13장과 이 전문 과정의 처음 세 과정에서 다루는 내용을 숙지해야 합니다. 본 과정은 Python 3를 다룹니다.
University of Pennsylvania
Privacy Law and HIPAA
What does it take to comply with privacy laws? In this course, we’ll look at the practical aspects of navigating the complex landscape of privacy requirements. Better understanding privacy laws and data protection will enable you to protect your organization and the constituents that depend on your organization to safeguard their personal information. First, we will examine the historical context that drove the creation of laws, best practices, and other standards for protecting personal information. We will also consider where in the U.S. privacy laws exist and which sectors remain unregulated. Next, we will focus on the federal health privacy law, the Health Insurance Portability and Accountability Act of 1996 (HIPAA) – and what it takes to comply with it. How do you know the scope of the requirements? And once you know HIPAA applies, how do you actually put measures in place to ensure compliance? We’ll explore the notion that one cannot have privacy without strong security and examine various models that promote the security of personal information. We’ll look closely at breach notification laws – one of the most significant drivers of change in organizations – and discuss strategies for the improvement of data protection overall. Lastly, we will look at international law, state law, the unique and important role of the Federal Trade Commission in protecting privacy. Most importantly, we get practical – we will discuss real-world, practical approaches to how compliance professionals can navigate the complex landscape of privacy requirements to best protect their organizations.
EDUCBA
Image Classification with Keras: Build & Optimize
Learners will be able to set up deep learning environments, upload and prepare datasets, apply transfer learning, visualize CNN layers, create models with image augmentation, evaluate performance, and retrain models for improved accuracy. This course provides a complete, hands-on journey into image classification using Keras, guiding learners from the basics of project setup in Google Colab to advanced techniques such as intermediate layer visualization and retraining for optimization. By working step-by-step through real-world scenarios, participants will gain not only theoretical knowledge but also practical skills in building, training, and improving convolutional neural networks (CNNs). What makes this course unique is its project-based approach, integrating cloud-based tools, pretrained models, and visualization methods that help learners truly understand how deep learning works under the hood. By the end, learners will be empowered to apply best practices in image classification, enhance model performance, and confidently tackle similar projects in research, academia, or industry.
Tel Aviv University
The Holocaust - An Introduction (II): The Final Solution
The Holocaust was an inconceivable historical event, which forever robbed Western culture of its innocence. As civilized human beings, we fail to understand how events of such horror could have taken place, and how an idea so inhumanly warped could have spread like wildfire through an entire continent, instigating the systematic annihilation of millions of Jews. This online course was produced jointly by Tel Aviv University and Yad Vashem – the World Holocaust Remembrance Center. This course is the second of the two courses and covers three themes in its three weeks: Week 1: The Final Solution We’ll look at the cultural and mental processes that paved the way to the comprehensive and systematic mass murder of Jews in Europe – that is, the Final Solution. As part of this hard lesson we will discuss the various characteristics of the murder sites and death camps, and reveal selected aspects of the horror that occurred in them. Week 2: Jewish and Non-Jewish Responses to the Holocaust We will try to explore questions regarding knowledge about the application of the Final Solution, as well as a variety of responses and annihilation of victims, local populations and perpetrators. Week 3: The End of the War We will dedicate this lesson to the events that occurred in the last years of the Holocaust, as well as questions of memory, commemoration and future research. We strongly recommend that you register for "The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World" as well (https://www.coursera.org/learn/holocaust-introduction-1/home/welcome). Taking both parts of the course would enable you to obtain a fuller and more comprehensive knowledge about The Holocaust. This online course is offered in an innovative, multi-level format, comprising: Comprehensive lectures by leading researchers from Tel Aviv University and Yad Vashem A wealth of voices and viewpoints presented by guest lecturers Numerous documents, photos, testimonies and works of art from the time of the Holocaust Novel learning experience: Crowdsourcing – involving the learners themselves in the act of collecting and shaping information, via unique, exciting online assignments
Packt
Unreal Engine 5 - Blueprints Game Developer Masterclass
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. Become an expert in Unreal Engine 5's Blueprints system through this hands-on, in-depth masterclass. You’ll gain the skills to create complex, dynamic gameplay mechanics using visual scripting, without the need for traditional coding. Whether you're a beginner or intermediate developer, this course will guide you through essential aspects such as variable management, arrays, flow control, and Blueprint communication. As you progress, you'll explore advanced topics like creating custom events, functions, and macros, plus working with timelines, materials, and the UI/UX system in Unreal Engine 5. You'll be equipped with the tools to design interactive worlds and characters, control game time and space, and implement immersive UI elements. Each section builds on the last, making it easy to apply what you've learned immediately to your projects. This course is perfect for aspiring game developers, hobbyists, or those looking to transition into Unreal Engine development. No prior experience with Unreal Engine is necessary, but familiarity with basic game development concepts will be helpful.
Utrecht University
Responsible Conduct of Research
As a PhD student in academia, there are difficulties you may encounter in the area of integrity, such as power relations and issues around social safety, authorship, intellectual property, and ensuring academic quality. How can you properly determine the order of authorship? In what way can social safety be improved? How do others deal with integrity issues? We have developed the MOOC "Responsible Conduct of Research" in which we take you through these topics and provide ideas on how to become a responsible researcher, who feels empowered by knowledge of integrity. 6 modules will guide you in 7 hours through important topics, including examples, a lecture, expert views and experiences and the opportunity to investigate your own research practice. A certificate will be provided to participants who completed every part. This course was developed in the H2020 Integrity project by Mariëtte van den Hoven, Miriam van Loon, Hesther van Gulick and Eline Borsboom, and funded by EU H2020.
Pearson
Certified Kubernetes Security Specialist (CKS): Unit 3
This course focuses on securing Kubernetes clusters by restricting API access and using strong role-based access control (RBAC). You’ll learn to manage user and service accounts securely, harden the API server, and configure access policies. The course also covers keeping your Kubernetes environment updated, including how to plan and execute upgrades with minimal downtime using KubeAdmin. By the end, you’ll have the skills to improve your cluster’s security and meet CKS certification standards.
LearnQuest
CompTIA Exam Prep
This course is geared towards anyone looking to take the CompTIA A+ certification exam. This certification focuses predominately on computer support or helpdesk. This course gives you easy access to the invaluable learning techniques used by many in their preparation of the CompTIA A+ certification exam. We’ll learn about the exam process, expectations, and tip & tricks that can be used in passing the exam. Using these approaches, regardless of your skill levels in the topics and objective areas of the exam. If you’re already working in the industry or already have experience working as a helpdesk individual for a good length of time, this prep course will cover the more focused details about the exam. If you’re not as experienced, you’ll see not just the focus on exams details, but will also be given tips and tricks for passing the exam. You’ll also have some practice exploring some exam questions focusing in core concepts. If you’ve ever wanted to become certified as a CompTIA A+ technician, this course will help serve as your guide. This course has a wide array of exercises, such as videos, reading, peer review writing assignments, quizzes, and discussion questions. The only equipment needed is a computer with internet access. It is assumed that you have completed the Google CompTIA A+ course.