Explore learning content

Results

• Business

  Intermediate

  Environmental Due Diligence for Credit

  This Environmental Due Diligence course examines why the process is important and when it should be a part of the overall credit analysis, along with what elements and steps go into the actual ESA itself and, subsequently, what information and recommendations will generally appear in the corresponding report. You will gain a clear understanding of the different phases of Environmental Site Assessments (ESAs), including Phase I and Phase II, and how each stage contributes to identifying potential environmental risks. The course will also highlight common environmental concerns such as contamination, hazardous materials, and regulatory compliance issues that may impact lending decisions. In addition, you will learn how to interpret environmental reports, assess the severity of identified risks, and determine appropriate mitigation strategies. By connecting environmental findings to credit risk, this course equips you with the skills to incorporate environmental due diligence into well-informed lending and underwriting decisions.

  View details: Environmental Due Diligence for Credit
• Business

  Beginner

  Professional Skills: Managing Stress and Time

  Take control of your time and reduce overwhelm with practical tools to manage stress, stay organized, and lead a more balanced life. Feeling constantly pressed for time or emotionally drained? Managing Stress and Time, guided by Dr. Shari Collins of the ASU School of Humanities, equips you with strategies to build resilience, improve time management, and reduce daily stressors. Learn how to identify personal stress triggers, set healthy boundaries, and create schedules that align with your energy and priorities. From mindfulness techniques to prioritization frameworks, this self-paced course offers proven tools to help you regain control, both personally and professionally.

  480 min

  View details: Professional Skills: Managing Stress and Time
• Business

  All levels

  Business Strategy in Practice (Project-centered Course)

  A Capstone Project is an assignment designed specifically to apply and showcase the skills you learned in the Specialization. To this end, the Business Strategy Capstone Project, a comprehensive Strategic Analysis, provides an opportunity for you to synthesize concepts and knowledge from the four prerequisite courses in the specialization. In this course, developed at the Darden School of Business at the University of Virginia, you will be guided through your project by top-ranked faculty. You may continue with the organization you selected for previous assignments or select a new organization for this project. You will analyze the current state of the organization, strategic issues facing the organization, strategic paths the organization might pursue, make a recommendation of the best path for the organization to pursue, and write an Executive Summary. Your finished project will serve as an artifact showcasing your ability to conduct research on/within an organization, select and apply the most appropriate analytical tools, build a well-supported case for a specific position, and effectively communicate key points with executive leadership.

  1440 min

  View details: Business Strategy in Practice (Project-centered Course)
• Business

  Intermediate

  Practical Applications of FAIR™ for Cyber Risk Management

  This course provides a practical, hands-on approach to applying the Factor Analysis of Information Risk (FAIR) methodology in cyber risk management. Students will learn how to leverage industry research, use FAIR for decision-making, and report on the materiality of cyber incidents using FAIR-MAM (Materiality Assessment Methodology). Through real-world CISO lectures and exercises, participants will gain the skills to quantify and communicate cyber risk effectively in financial terms. This course is tailored for senior executives and decision-makers overseeing or guiding cyber risk management within their organizations. Ideal participants will have: Leadership and Strategic Oversight: Participants should hold or aspire to hold leadership roles such as Chief Executive Officer (CEO), Chief Information Security Officer (CISO), Chief Risk Officer (CRO), or senior management positions where they are responsible for setting and implementing risk management strategies. Experience with Financial or Business Risk: Executives with experience managing financial risk or business continuity planning will find the course particularly valuable, as it covers the intersection of cyber risk and financial decision-making. Commitment to Continuous Improvement: A mindset geared toward continuous improvement in risk management practices, with a willingness to explore and adopt new methodologies, such as the FAIR model, to enhance their organization's cyber resilience. This course is designed to equip senior leaders with the practical skills and insights necessary to integrate the FAIR model into their organization’s broader risk management strategy, ensuring a more quantitative and business-aligned approach to managing cyber risks.

  View details: Practical Applications of FAIR™ for Cyber Risk Management
• Technology

  Intermediate

  Python Essentials for MLOps

  Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with Python in the context of an MLOps workflow. By the end of the course, learners will have the necessary skills to write Python scripts for automating common MLOps tasks. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their Python skills.

  1500 min

  View details: Python Essentials for MLOps
• Business

  Intermediate

  Fundamentals of Project Management

  Fundamentals of Project Management offers a comprehensive introduction to the key principles and practices necessary to lead successful projects. You will learn how to navigate each phase of the project lifecycle, from initiation and planning to execution and closure. This course provides hands-on experience with essential tools like Work Breakdown Structures (WBS), scheduling, budgeting, and critical path analysis. What makes this course unique is its practical focus, exemplified through real-world scenarios like the PickPOCIT case study, where you'll apply your knowledge to simulate the role of a project manager. Whether you're new to project management or seeking to enhance your skills, this course equips you with the strategies and confidence needed to deliver projects on time and within budget. By the end, you'll be prepared to handle complex project challenges and drive successful outcomes in any industry.

  1320 min

  View details: Fundamentals of Project Management
• Business

  Intermediate

  Al-Driven HR Operations

  Harness AI to transform how you work in this forward-looking course designed for HR professionals ready to automate and accelerate their operations. Through hands-on activities using Microsoft Copilot, Power Automate, and chatbot tools, you'll learn to draft content with AI assistance, build automated workflows, implement self-service solutions, and measure the ROI of your AI initiatives. This course is perfect for HR managers and operations specialists who want to lead their organization's AI adoption rather than be disrupted by it. Starting with AI-assisted drafting and progressing to chatbot implementation and strategic roadmapping, you'll develop the skills needed to leverage AI as a force multiplier while keeping humans in the loop where it matters.

  360 min

  View details: Al-Driven HR Operations
• Technology

  Intermediate

  商管統計資料分析一 (Analytics for Business and Management (I))

  本課程為三模組系列課程之第一模組。 此系列課程專門教授各種線性迴歸形式 (regression-type) 的統計分析模型與技術。此系列課程以大量多樣之商管實務案例進行解說，並以 R 統計語言進行建模分析，提供完整的命令稿 (script) 與資料集讓同學們實地操作演練，培養統計分析思維與實戰技能。 本第一模組是築基課程，講述統計分析與迴歸模型的基本觀念，包括統計思維 (statistical thinking)、探索型資料分析 (EDA, Exploratory Data Analysis)、迴歸模型的原理與前提條件、參數估計與假設檢定、模型評估與詮釋、預測與應用、變數轉換與選擇、離群值與建模陷阱等。

  View details: 商管統計資料分析一 (Analytics for Business and Management (I))
• Business

  Intermediate

  Digital Marketing Capstone

  In the Digital Marketing Capstone, you will synthesize what you have learned from previous courses to develop a comprehensive digital marketing strategy tailored to real-world business objectives. Over two intensive weeks, students will create, analyze, and refine a data-driven marketing plan that targets a specific audience and is optimized across multiple digital channels. The course emphasizes advanced digital marketing analytics to uncover actionable insights, guiding strategies toward measurable success. Participants will design integrated online advertising campaigns, spanning social media, search, and display channels, and develop customer acquisition and retention tactics aimed at maximizing customer lifetime value. By the end of the course, students will produce a peer-reviewed, professional-quality digital marketing strategy, demonstrating their ability to make data-driven decisions, engage the right audiences, and deliver impactful marketing results. This capstone serves as the final step in the Digital Marketing Specialization, allowing students to showcase their skills and prepare for success in the digital marketing industry.

  View details: Digital Marketing Capstone
• Technology

  All levels

  Power Pivot in Excel for Data Analysis

  Master Power Pivot in Excel to analyze complex datasets, build data models, and create interactive dashboards for smarter business decisions. Learn how to transform raw data into dynamic reports and actionable insights using practical Excel BI techniques. This course gives you a clear and practical pathway to using Power Pivot for professional data analysis in Microsoft Excel. You’ll learn how to import data from multiple sources, prepare datasets, and structure information so it can be analyzed efficiently and accurately. We’ll explore how Power Pivot helps you go beyond basic spreadsheets by creating relationships between tables, building stronger data models, and generating meaningful Pivot Table and Pivot Chart reports. You’ll also learn how to apply statistical measures, interpret outputs, and uncover patterns in business data. As you progress, you’ll work with practical examples such as loan analysis and financial datasets to understand how Power Pivot supports real-world decision-making. You’ll also learn how slicers and dashboards make reports interactive, easier to explore, and more useful for business users. By the end of the course, you’ll be able to confidently use Power Pivot to manage complex datasets, create dynamic reports, design interactive dashboards, and generate insights that support data-driven decisions.

  View details: Power Pivot in Excel for Data Analysis
• Technology

  Intermediate

  Responsible AI for Developers: Privacy & Safety - Français

  Ce cours présente des points importants au sujet de la confidentialité et de la sécurité de l'IA. Vous découvrirez des méthodes pratiques et des outils pour mettre en place des pratiques recommandées de confidentialité et de sécurité de l'IA à l'aide de produits Google Cloud et d'outils Open Source.

  View details: Responsible AI for Developers: Privacy & Safety - Français
• Engineering

  All levels

  Understanding Research Methods

  This MOOC is about demystifying research and research methods. It will outline the fundamentals of doing research, aimed primarily, but not exclusively, at the postgraduate level. It places the student experience at the centre of our endeavours by engaging learners in a range of robust and challenging exercises befitting SOAS, University of London's status as a research-intensive university and its rich research heritage. The course will appeal to those of you who require an understanding of research approaches and skills, and importantly an ability to deploy them in your studies or in your professional lives. In particular, this course will aid those of you who have to conduct research as part of your postgraduate studies but do not perhaps have access to research methods courses, or for those of you who feel you would like additional support for self-improvement. There is no expectation that you already have a research topic or project in mind when you begin the course. No prior knowledge or experience in research is required to take this course and as such, the course is for everyone. This MOOC draws on a wealth of existing course material developed to support research training across SOAS, University of London and particularly drawing from the Centre for International Studies and Diplomacy (CISD). In 2015, the course was nominated for the prestigious Guardian University Award for its innovative approach to online learning. Participation in or completion of this online course will not confer academic credit for University of London programmes.

  600 min

  View details: Understanding Research Methods