The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Formatting, Printing and Reporting with Primavera P6 PPM
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. This course takes you step-by-step through Primavera P6 PPM's key features for formatting, printing, and reporting. Starting with display customization, you will learn how to navigate the Project Window and format your data using progress lines, timescales, columns, and attachments. A hands-on workshop will guide you through formatting bar charts, ensuring your project visuals are clear and professional. Next, you will explore grouping, sorting, and filtering techniques, which are essential for organizing complex project data. Customizing layouts and applying filters will enhance your ability to focus on critical tasks, while practical workshops provide hands-on experience in managing large datasets. You’ll also learn how to create filters that make the activity critical path more visible, ensuring key project milestones are easily trackable. In the final section, you will delve into printing best practices, generating reports, and using Primavera’s Visualizer tool for schedule comparisons. The course covers web publishing of reports, ensuring you can effectively share project information with stakeholders. By the end, you’ll be fully equipped to generate high-quality, tailored reports and printouts that communicate project status with precision and clarity. Ideal for project managers, schedulers, and planners using Primavera P6 PPM to manage projects. Basic knowledge of Primavera P6 and project scheduling concepts is required.
The State University of New York
Career Foundations: A Toolkit to Build Your Future
This course is designed to help students identify, develop, and apply transferable skills that are essential for both academic success and professional advancement. Through the use of innovative learning modules that contain practical real-world scenarios, students will learn how to harness these skills to navigate various challenges in their academic and professional journeys. Learning Outcomes Upon completing this course, learners will be able to: Identify and Understand: Recognize key transferable skills such as communication, problem-solving, teamwork, and adaptability, etc. and understand their significance in various contexts. Develop and Apply: Enhance and effectively apply these skills in academic projects, professional environments, and everyday challenges. Analyze Real-World Scenarios: Apply transferable skills to real-world problems and case studies, gaining practical insights and experience. Reflect and Self-Assess: Conduct ongoing self-assessments to identify strengths and areas for improvement, fostering continuous personal and professional growth.
Alex Genadinik
ChatGPT For Brand Storytelling - Create A Memorable Brand
In today's highly competitive business landscape, creating a compelling corporate brand story is essential for capturing the hearts and minds of your audience. With the emergence of AI-powered tools like ChatGPT, the possibilities for crafting engaging narratives that resonate with your target audience have never been greater. In this course, you will learn how to harness the power of Artificial Intelligence to craft captivating brand stories that leave a lasting impact. Introduction to Corporate Brand Storytelling Understand the significance of corporate brand storytelling in building brand identity and connecting with consumers. Explore the psychology of storytelling and how it influences human behavior. Learn about the role of AI, specifically ChatGPT, in enhancing storytelling capabilities. Leveraging ChatGPT as Your Storytelling Partner Gain a comprehensive understanding of ChatGPT and its capabilities. Learn how to access and utilize ChatGPT effectively for crafting corporate brand stories. Explore real-world examples of successful brand storytelling with ChatGPT. Crafting Your Brand Narrative Identify your brand's unique value proposition and core message. Develop a brand narrative that resonates with your target audience. Utilize ChatGPT to brainstorm and refine your storytelling ideas. Writing Engaging Brand Content Learn techniques for creating attention-grabbing headlines and opening statements. Discover the art of creating a compelling brand story structure. Practice writing brand content with ChatGPT's assistance and guidance. Tailoring Your Story for Different Platforms Understand how to adapt your brand story for various platforms and media, including social media, websites, and video content. Explore strategies for maintaining a consistent brand voice across different channels. Use ChatGPT to generate content tailored to specific platforms and audiences. Engaging Your Audience Explore techniques for making your brand story relatable and emotionally engaging. Learn how to evoke emotions and create a memorable brand experience. Utilize ChatGPT for A/B testing and optimizing your content for audience engagement. Measuring and Iterating Discover key performance indicators (KPIs) for tracking the success of your brand storytelling efforts. Learn how to gather and analyze data to make informed improvements. Use ChatGPT to brainstorm new ideas and iterations based on data-driven insights. Ethical Considerations and Best Practices Discuss the ethical implications of AI-generated content in brand storytelling. Explore best practices for maintaining transparency and authenticity in your storytelling. Understand the importance of responsible AI use. Who Should Enroll? This course is designed for marketing professionals, brand strategists, content creators, entrepreneurs, and anyone interested in elevating their corporate brand storytelling using AI technology. By the end of this course, you will have the knowledge and practical skills to leverage ChatGPT to create compelling corporate brand stories that resonate with your target audience. Join us on this exciting journey to unlock the full potential of AI-powered brand storytelling and take your corporate brand to new heights. Enroll today and embark on the path to becoming a master storyteller in the digital age.
Meta
Statistics Foundations
This course takes a deep dive into the statistical foundation upon which data analytics is built. The first part of this course will help you to thoroughly understand your dataset and what the data actually means. Then, it will go into sampling including how to ask specific questions about your data and how to conduct analysis to answer those questions. Many of the mistakes made by data analysts today are due to a lack of understanding the concepts behind the tests they run, leading to incorrect tests or misinterpreting the results. This course is tailored to provide you with the necessary background knowledge to comprehend the "what" and "why" of your actions in a practical sense. By the end of this course you will be able to: • Understand the concept of dependent and independent variables • Identify variables to test • Understand the Null Hypothesis, P-Values, and their role in testing hypotheses • Formulate a hypothesis and align it to business goals • Identify actions based on hypothesis validation/invalidation • Explain Descriptive Statistics (mean, median, standard deviation, distribution) and their use cases • Understand basic concepts from Inferential Statistics • Explain the different levels of analytics (descriptive, predictive, prescriptive) in the context of marketing • Create basic statistical models for regression using data • Create time-series forecasts using historical data and basic statistical models • Understand the basic assumptions, use cases, and limitations of Linear Regression • Fit a linear regression model to a dataset and interpret the output using Tableau • Explain the difference between linear and multivariate regression • Run a segmentation (cluster) analysis • Describe the difference between observational methods and experiments This course is designed for people who want to learn the basics of descriptive and inferential statistics.
CertNexus
Train Machine Learning Models
This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems. To be successful in this course a learner should have a background in computing technology, including some aptitude in computer programming.
University of Michigan
Generative AI Essentials: Overview and Impact
With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future. This course is licensed CC BY-SA 4.0 with the exclusion of the course image.
Northeastern University
Industrial Optimization: Models & Linear Programming
Introduces the theory, computation, and application of deterministic models to represent industrial operations. Includes linear programming formulation and solution using spreadsheet and algebraic languages software; simplex, big-M, revised simplex, and dual simplex algorithms for solving linear programs; introduction to the theory of simplex.
Splunk Inc.
Splunk Knowledge Manager 103
In this course, you will go beyond dashboard basics and learn about Dashboard Studio's underlying framework, the dashboard development process from prototyping and wireframing to troubleshooting as well as adding visualizations, dynamic coloring and drilldowns. Then you will go further by making your dashboards interactive with user inputs. You will learn how to use mock data, add annotation searches to a visualization, and improve dashboard performance. Finally, you will take a deep dive into maps using the classic simple XML framework where you will learn how to create cluster and choropleth maps, customize their color, and make them interactive.
National Taiwan University
用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1))
本系列課程從零開始，教授一般認為最適合初學者的程式語言「Python」，目標是讓大家在完成本課程之後，一方面獲得程式設計與運算思維的基本概念，一方面也能獨立寫出能解決運算問題的程式。本課程和一般程式設計課程最不同的地方，在於它是以解決商管領域的運算問題為導向，因此課程不會只含有質因數分解、紅球白球排列組合、三角不等式、萬年曆、數字排序等傳統程式設計課程的範例與作業，而是包含了生產、物流、存貨、投資、定價等問題，讓大家在學會程式設計的同時，也直接體會程式設計與資訊技術在商管領域的各種應用。 本系列課程共分為三門課程。本門課程做為第一門課程，將介紹程式設計的基本觀念、Python 語言的基本語法、選擇、迴圈、清單，並以作業管理領域的一些簡單演算法作結。
Coursera
Crear videos de sitios web con Canva
Al final de este proyecto, tendrá todas las habilidades básicas para crear videos para su sitio web utilizando la plataforma Canva, una herramienta en línea para crear y editar imágenes de marketing. Utilizará las diversas herramientas de diseño, colores y gráficos que ofrece Canva. Este proyecto está destinado a intermediarios, propietarios de pequeñas empresas y startups que no tienen conocimientos de diseño gráfico. Es ideal para crear videos de sitios web profesionales utilizando varias plantillas de video que ofrece Canva.
Pontificia Universidad Católica de Chile
Estructura de capital
Este curso nos enseña a tomar decisiones acerca del financiamiento de una organización, basadas en teoría financiera y evidencia empírica moderna. Permite a los estudiantes comprender los conceptos generales de la estructura de capital de una organización y el efecto que tienen en está los impuestos, los costos de quiebra, y los costos y beneficios de agencia.
EDUCBA
Apply Advanced Statistical Modeling Using SPSS
Learners will be able to analyze complex datasets, interpret advanced statistical outputs, and apply predictive modeling techniques using SPSS 2024. By the end of this course, learners will confidently evaluate relationships between variables, build and interpret regression models, and translate statistical results into actionable insights for business and healthcare contexts. This course is designed to take learners beyond basic SPSS usage into advanced analytical thinking. Through real-world case studies—including market analysis, finance, home loans, and healthcare datasets—learners will apply descriptive analytics, correlation analysis, linear and multiple regression, logistic regression, and quadratic regression techniques. Each concept is reinforced with visual diagnostics such as scatter plots and residual analysis to ensure robust interpretation and model validation. What makes this course unique is its strong emphasis on interpretation over computation. Rather than focusing solely on running SPSS commands, the course trains learners to understand why results occur and how to communicate insights effectively. The inclusion of end-to-end data preparation using both Excel and SPSS further ensures learners are industry-ready. This course is ideal for students, analysts, and professionals who want to strengthen their data-driven decision-making skills using SPSS in practical, real-world scenarios.
Coursera
Data-Driven Testing with Cypress: Fixtures & Mocks
In this 1-hour project, you will build a Cypress test suite for data-driven testing by injecting JSON test data and intercepting API requests to mock responses. This enhances automation by making tests flexible and scalable. You will set up a Cypress project, configure JSON files, use the data to fill input forms, implement data-driven tests, and mock API responses to validate application behavior with real-world data. By completing this project, you will improve your test automation skills. This project is ideal for testers with basic JavaScript and Cypress knowledge. You should have Node.js, npm, and a code editor like VS Code.
University of California San Diego
Learn to Teach Java: Sequences, Primitive Types and Using Objects
Get started with the basics of Java, and prepare to teach others using the free, online interactive CS Awesome textbook. In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students. This course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course. We'll begin with simple instruction sequences, primitive types, and using objects, as covered in the APCS A Units 1 and 2. Each topic will begin by relating Java to block-based programming languages and then provide video overviews of CS Awesome content along with additional materials to supplement learning for your students. You'll engage with additional materials to support your teaching including "deep dive" classroom discussion questions and assessment overviews and options for your students.
Amazon Web Services
Introduction to Serverless Development v01.01.00
Join Partner Solutions Architect, Mike Deck for a discussion of how to approach building applications for the AWS Serverless platform. This course focuses specifically on the tools and practices relevant to coders. When you're finished with this course, be sure to continue your exploration of serverless development by checking out the other items in the Serverless Starter Pack.
American Council on Exercise
Foundations of Effective Behavior Change Coaching
Here, you will explore how you can assist clients to make lasting lifestyle changes through motivation, planning, and accountability. You will also examine different elements to be taken into account during an initial coaching session.