The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Minnesota
Cloud Security Basics
This course introduces you to cybersecurity for the cloud. We'll learn and apply classic security techniques to today’s cloud security problems. We start with a deceptively simple and secure web service and address the problems arising as we improve it. We’ll analyze recent cloud security vulnerabilities using standard, systematic techniques. We’ll build our own web service case studies and construct security solutions for them. Our toolkit contains classic security concepts like Least Privilege and Separation of Duty, as well as more technical cryptographic and access control techniques.
Coursera
Adapt Communication Styles
This course helps sales professionals recognize buyer communication styles and adapt their messaging to build trust, reduce friction, and move deals forward. Learners practice identifying common DISC-style communication patterns through observable buyer signals, then apply those insights by revising a real sales email for an Analytical buyer profile. Through short videos, applied readings, coach dialogues, hands-on activities, and assessments, learners develop practical communication skills they can use immediately in emails, meetings, and negotiations, ensuring buyers feel understood, confident, and ready to engage.
Google Cloud
Machine Learning in the Enterprise - 한국어
이 과정에서는 다양한 ML 비즈니스 요구사항과 사용 사례를 다루는 ML팀의 우수사례를 중심으로 ML 워크플로에 대한 실용적이고 현실적인 접근 방식을 포괄적으로 소개합니다. 이 팀은 데이터 관리 및 거버넌스에 필요한 도구를 이해하고, Dataflow 및 Dataprep에 대한 개괄적인 지식과 BigQuery를 사용한 사전 처리 작업 등을 바탕으로 데이터 사전 처리를 위한 가장 효과적인 접근 방식을 검토해야 합니다. 팀은 두 가지 구체적인 사용 사례에 맞는 머신러닝 모델을 빌드하는 세 가지 옵션을 제공합니다. 이 과정에서는 팀이 목표 달성을 위해 AutoML, BigQuery ML 또는 커스텀 학습을 사용해야 하는 이유를 설명합니다. 커스텀 학습에 대해서도 자세히 설명합니다. 학습 코드 구조, 스토리지, 대용량 데이터 세트 로드에서 학습된 모델 내보내기에 이르기까지 커스텀 학습 요구사항을 설명합니다. Docker에 대한 지식이 거의 없어도 컨테이너 이미지를 빌드할 수 있는 커스텀 학습 머신러닝 모델을 빌드합니다. 우수사례팀에서 Vertex Vizier를 사용한 초매개변수 조정과 모델 성능을 개선하는 데 이를 어떻게 활용할 수 있는지 연구합니다. 모델 개선에 대한 이해를 높이기 위해 정규화와 희소성 처리, 그 외 많은 중요한 개념과 원칙 등 이론적인 내용도 자세히 살펴봅니다. 마지막으로 예측 및 모델 모니터링을 개략적으로 설명하고 Vertex AI를 사용하여 ML 모델을 관리하는 방법을 알아봅니다.
Google Cloud
Google Cloud Database Migrations: Strategy
Ready to move your databases to Google Cloud? This course provides the strategy. Learn to evaluate business drivers to overcome high on-premise costs and vendor lock-in. Use Migration Center to discover assets, analyze TCO, and build a phased wave plan. You’ll learn to choose the right migration path and identify the right Google Cloud solutions for your workloads. You'll leave with a data-driven business case and a clear roadmap, ready to win executive buy-in and lead a successful migration.
Johns Hopkins University
Advanced Neural Network Techniques
The course "Advanced Neural Network Techniques" delves into advanced neural network methodologies, offering learners an in-depth understanding of cutting-edge techniques such as Recurrent Neural Networks (RNNs), Autoencoders, Generative Neural Networks, and Deep Reinforcement Learning. Through hands-on projects and practical applications, learners will master the mathematical foundations and deployment strategies behind these models. You will explore how RNNs handle sequence data, uncover the power of Autoencoders for unsupervised learning, and dive into the transformative potential of generative models like GANs. The course also covers reinforcement learning, equipping you with the skills to solve complex decision-making problems using deep neural networks and Markov Chains. Designed to bridge theoretical knowledge and practical implementation, this course stands out by incorporating real-world challenges, ethical considerations, and future research directions.
Microsoft
Market Research and Competitive Analysis
Equip yourself with the skills to gather and interpret market data, assess the competitive landscape, and generate innovative product ideas. This course focuses on identifying market gaps and opportunities through thorough research and competitive analysis. You'll learn to apply B2B market research methodologies using Microsoft tools, analyze enterprise customer needs and market trends, and complete a final project demonstrating your ability to conduct impactful research. Delve into consumer behavior and segmentation, create buyer personas, and master competitive analysis techniques. Understand the unique dynamics of the AI product market, including data ecosystems and regulatory influences. This course empowers you to make data-driven decisions and develop strategies that address real market needs. By the end of the course, you will be able to: -* Collect and analyze market data to identify product gaps and opportunities. *Conduct thorough competitive analysis to gain insights into competitors' strategies. *Complete a final project that explains the ability to conduct market research and competitive analysis. -Apply B2B market research methodologies using Microsoft tools -Analyze enterprise customer needs and market trends A Microsoft 365 license or free trial is needed to complete the course activities.
Imperial College London
Getting started with TensorFlow 2
Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models. You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills. At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop an image classifier deep learning model from scratch. Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of Tensorflow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. This course is intended for both users who are completely new to Tensorflow, as well as users with experience in Tensorflow 1.x. The prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP/feedforward and convolutional neural networks), activation functions, output layers, and optimisation.
Council on Foreign Relations
Climate Change: Mitigation and Adaptation
Climate change—or what many refer to as global warming—is one of the most significant threats that humanity faces. "Climate Change and Global Affairs: Mitigation and Adaptation" explores the impacts of climate change worldwide, alongside the strategies available to address this global threat. After completing this course, learners will be able to identify and explain climate change's impacts on humans and the environment, evaluate existing pathways for mitigating greenhouse gas emissions, assess different strategies to adapt to climate change's many effects, and evaluate emerging technological approaches to combating climate change. By enrolling in this course, you join a host of policymakers, professionals, and students committed to addressing climate change. By tackling this global challenge, we work to build a more sustainable future.
Pearson
Certified Kubernetes Application Developer (CKAD): Unit 6
This course is structured into two comprehensive lessons. The first lesson delves into Kubernetes troubleshooting, where you'll learn a systematic approach to identifying and resolving issues. You'll gain insights into analyzing failing applications, addressing network access problems, and utilizing cluster event logs. Additionally, you'll explore how to troubleshoot authentication issues and debug Kubernetes applications, with practical labs to reinforce your learning. The second lesson introduces the concept of observability, providing an overview of its importance in maintaining robust Kubernetes operations. You'll learn about API deprecation, using Kubernetes API health points, and employing probes to monitor applications effectively. Each lesson is designed to provide hands-on experience, ensuring you can apply these skills in real-world scenarios.
Coursera
Compare User Behavior with Segments
"Unlock the power of user segmentation to drive data-informed marketing decisions! Did you know that companies using advanced segmentation strategies see 10x higher engagement rates than those using generic targeting approaches? This short course was created to help digital marketing professionals accomplish systematic user behavior analysis through strategic segmentation. By completing this course, you'll be able to activate predefined user segments within analytics platforms, conduct meaningful metric comparisons, and translate data differences into actionable marketing insights that you can apply immediately in your campaigns By the end of this course, you will be able to: • Apply built-in segments to compare user behavior metrics between groups • Identify significant behavioral differences across audience segments • Formulate direct observations that inform marketing strategy This course is unique because it focuses on hands-on application rather than theory, giving you immediate skills to enhance your analytics workflow and improve campaign targeting effectiveness. To be successful in this course, you should have basic familiarity with digital analytics platforms and fundamental marketing concepts."
University of California, Davis
Beyond Basic CSS: Typography, Color, Effects, & Animation
In this course, you’ll learn how type communicates and how styling and organization of written content affects the message. You’ll look at advanced features of web fonts and see how type designers are taking the fields of digital type to the next level. Then, you’ll learn about color, color theory, and the practice of using color in your digital products and work with color by exploring gradients, other effects, and work to create a website using techniques learned in this course. Finally, we’ll wrap up the course by learning how to create animations in CSS using transitions, 2d and 3d transformations, as well as keyframes to create sophisticated animations on the web.
New York Institute of Finance
Market Risk Management: Frameworks & Strategies
This course provides the foundation for understanding the frameworks used to develop market risk management strategies. You will identify the market risks associated with each type of financial instrument. You will be introduced to techniques for estimating the risk associated with each class of investments. By the end of the course, you will be able to select the most effective derivatives for managing risk of a single asset and a portfolio of assets, develop asset selection strategies for managing risk in a portfolio, and model risk associated with a single asset and a portfolio of assets. Learners will complete a project covering the estimation and analysis of risk in a globally diversified equity portfolio. The portfolio will include allocations of equity indexes from the U.S., Japan, Hong Kong, and Germany. Data for the two years prior to March 2020 will be used to convert daily returns in each indexes' currency into dollar returns. Value-at-Risk and Expected Shortfall for the portfolio will be calculated using an equal-weighted sample and an exponentially weighted sample. Learners will then be given a new 2-year data set that includes the market data through August of 2020. They will be asked to re-evaluate risk for the portfolio using Value-at-Risk and Expected Shortfall.
Coursera
Scripting with Alteryx: Python and R for Advanced Workflows
Mastering Python and R in Alteryx workflows can dramatically enhance your data analysis capabilities. This comprehensive guided project teaches you how to leverage these powerful scripting languages within Alteryx to perform advanced analytics on real-world HR data. This project-based course is designed for data analysts who already understand Alteryx basics but want to extend their capabilities through Python and R integration for more sophisticated analysis. More specifically during this 1-hour guided project you will learn how to: - Understand how to use the Python and R Tools in Alteryx for advanced data manipulation - Use Python and R to preprocess and visualize data within an Alteryx workflow - Build and evaluate a predictive machine learning model in Python and R To achieve this, you will create a complete end-to-end analytics workflow that incorporates both Python and R scripts within Alteryx to analyze HR data, identify patterns in employee behavior, and develop predictive models for attrition risk. This solution showcases how to leverage scripting languages to extend Alteryx's native capabilities. This project is unique because it bridges the gap between Alteryx's user-friendly interface and the powerful programming capabilities of Python and R, teaching you practical integration techniques that can be applied to real business challenges. In order to be successful in this project, you will need basic familiarity with Alteryx Designer (e.g., input tools, transformations), fundamental knowledge of Python (e.g., Pandas, Matplotlib, Seaborn, Scikit-learn) and/or R (dplyr, zoo, ggplot2), and experience working with structured datasets (e.g., CSV files, Excel).
Nanjing University
Chinese Culture and Contemporary China
This course of Chinese Culture and Contemporary China will explore the foundations of Chinese civilization and the dimensions of Chinese culture. It will pay particular attention to the relationship between Chinese culture and the present-day life of the Chinese people and to the different elements of the culture which are under the present social structures, belief systems, literature, arts, customs, etc. The course aims at providing students with a deeper knowledge of Chinese culture, thus enabling them to better understand China. The course will cover the following main areas of topics: (1) the foundations of Chinese civilization: its geography, language, and history; (2) the core concepts in Chinese philosophies and religions: Confucianism, Taoism, and Buddhism; (3), literature and arts, including Chinese calligraphy, painting, Tang poetry, and classical fiction; (4) society and life, including education, the role of women, Chinese food, and traditional holidays; (5) travel and landscapes, including well-known Chinese cities, mountains, ethnic regions and customs; (6) Chinese media, culture and sports, including TV and movies, fashion, Chinese gongfu and taiji. In addition, students will be expected to participate in a buddy program beyond curriculum if they have a chance to come to Nanjing. Ideally they will be paired up: an international student with a Nanjing University student to allow students to learn firsthand about Chinese customs, culture, and language. Students will be required to complete various projects and homework assignments as well, which will encourage them to use Nanjing University and the city of Nanjing as a laboratory to apply what they learn during their stay at Nanjing University.
Coursera
Discover Keywords: Forecast Traffic & Costs
This short, practical course teaches you how to transform keyword ideas into actionable insights through discovery, forecasting, and ROI analysis. You’ll learn to identify high-value keywords, apply filters by audience, location, and language, and connect search intent to real campaign goals. Lesson 1 explores keyword discovery tools and intent types—informational, navigational, and transactional—helping you build a focused keyword playbook. Lesson 2 moves into forecasting, using tools like Google Keyword Planner to analyze impressions, CTR, CPC, and costs, comparing different plans to evaluate ROI. With interactive coaching, discussions, and downloadable worksheets, you’ll gain hands-on experience applying data-driven methods. By the end, you’ll confidently forecast performance, interpret results, and communicate insights that support smarter, measurable marketing decisions.
Coursera
Dynamic Routing with Next.js: Improve a Tech News Website
In this 1.5-hour long project-based course, you will learn about dynamic routing and API routing using Next.js. You will learn how to use Next.js for pre-rendering, constructing dynamic routing, and providing serverless API without additional dedicated servers.