The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Duke University
ESG Challenges and Solutions for Business
This course tackles the barriers and challenges that hinder the adoption of Environmental, Social, and Governance (ESG) practices. Learners will explore organizational roadblocks, personal hesitations, and key issues related to ethics, compliance, and regulations. Through practical strategies and insights, participants will develop the skills to overcome these challenges, foster a culture of accountability, and implement sustainable, ethical practices within their organizations and beyond.
Amazon Web Services
Introduction to Database Migration
Most applications need to store data in some form of database. Amazon Web Services (AWS) provides several tools to help you migrate your databases, and the applications that use them, to the cloud. You can change their database management system (DBMS) or even their architecture from SQL to NoSQL, as appropriate. It is fairly simple to migrate data from one server to another when both are using the same database engine, known as homogeneous migration. Going to a different engine, or heterogeneous migration, is harder and may require changes in your application. In this course, you will learn about two database tools: AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS).
University of Illinois Urbana-Champaign
Introduction to Business Analytics: Communicating with Data
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
Coursera
Excel for Beginners: Beginner Functions
This 1-hour, project-based course introduces learners to basic spreadsheet functions. We’ll be using Excel on the Web in this project, which is the free spreadsheet program offered by Microsoft. However, all of the concepts that you will learn in this project will be applicable to other spreadsheet programs, such as LibreOffice Calc and Google Sheets. We will cover the following concepts in a hands-on manner: - Review basic functions: sum, min, max, average - Introduction to date-based functions: today, year, month, day, datedif - Trying out conditional functions: if, iferror, countif, sumif - Applying string-manipulation functions: find, replace, proper, concat, textjoin Please Note: If you don't have a free Microsoft account, you will need to create one to be able to complete the content.
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 2
This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics. Topics in Part 2 include sampling distributions; one-sample hypothesis tests on the mean, variance, and binomial proportion; two-sample hypothesis tests (comparison of means, variances, and binomial proportions of samples drawn from two populations); simple (straight-line) regression; multilinear regression; and analysis of variance (ANOVA). Statistical techniques are taught with the help of Microsoft Excel, which is an intuitive software package that has many built-in functions and tools for statistical analysis. This course is the second course out of three that comprise the specialization "Statistics and Applied Data Analysis." Course 3 ("Statistics and Data Analysis with R") focuses on statistical analysis in the statistical software package RStudio.
Coursera
Clean Data in SQL using MySQL Workbench
By the end of this project, you will clean up MySQL student data in a MySQL database using SQL commands in MySQL Workbench. MySQL is a widely used relational database. Often data is incorrectly formatted, duplicated and/or lacks the granularity to perform proper analysis of a database. MySQL workbench provides a User Interface to MySQL data that allows the data analyst to Perform queries to check data, repair data, create tables, and insert data to clean up a database. 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.
CentraleSupélec
On Strategy : What Managers Can Learn from Philosophy - PART 1
In the expression “creative thinking”, the keyword is not creativity; the keyword is thinking. With the help of great philosophers, you will rediscover the art of thinking. To help leaders to be rigorous even without figures, great philosophers have lots of ideas. Managers are invited to rediscover the art of thinking. They should understand the role of mental models, realize the importance of cognitive bias, agree on clear definitions and efficient criteria etc. Creativity demands the ability to unshackle ourselves from conventional ways of thinking, to "think outside the box". But we need to go a step further. Once outside the box, we need to construct a new box or boxes (that is, new intellectual frameworks or models) to help us structure our thinking. Only once we have done so can we generate truly game-changing ideas.
Rutgers the State University of New Jersey
New Technologies for Business Leaders
This introductory course is developed for high level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies. From Blockchain over Artificial Intelligence to Virtual Reality technologies: This course will empower business leaders to embrace the concepts and bring the state of the art information technologies into their organizations to improve client and customer engagement and ultimately the bottom line of their businesses. Instead of digital disruption, the new technologies and management methods will become the foundation of a Digital Transformation journey for better customer relationship management and client satisfaction. The content is structured in a way that promotes discussions on challenges that business management and marketing functions face due to the rise of new technologies such blockchain, cryptocurrencies, internet of things (IoT), virtual, mixed and augmented reality (VR/AR), artificial intelligence (AI) and big data. This course will use case studies to explore frameworks, tools, and strategies that are already proven in the real world and prepare ourselves and our organizations to have the tools needed to succeed in a fast and changing world. This course is not a deep technical curriculum, but based on thousands of hours helping (often C-level) executives to grasp the technologies' potential in their own areas of expertise. This course is available in English.
Vanderbilt University
ChatGPT + Excel: Master AI-driven Formulas & Visualizations
Imagine if your documents—policies, procedures, or even meeting notes—could magically transform into fully functional Excel spreadsheets. What used to take hours of manual labor, deciphering complex rules, and building formulas can now be done in minutes with the help of ChatGPT. This course is your gateway to unlocking that magic, turning the impossible into the achievable. Through hands-on videos, practical assignments, and real-world analogies, you'll learn how to design, prototype, and populate Excel spreadsheets like never before. For instance, think of ChatGPT as your personal assistant who not only listens to your requests but also drafts Excel formulas, creates VBA scripts, and generates polished visualizations—all while making sure everything works perfectly through robust two-sided accuracy checks. Here’s what you’ll achieve: - Transform Policies into Spreadsheets: Imagine taking a dense HR policy document and converting it into a sleek, interactive tool for tracking leave requests—all by simply chatting with ChatGPT. - Prototyping on the Fly: Like sketching ideas on a napkin, ChatGPT helps you rapidly prototype Excel sheets and populate them with dummy data, giving life to your ideas in moments. Snap a picture of the inside of your pantry and have it turned into an inventory tracking system. - Excel Formula Wizardry: Tame the most complex formulas with ChatGPT’s guidance, from financial models to error-proofed calculations, ensuring you can solve problems without breaking a sweat. - Visualizations that Wow: Snap a picture of a graph or describe a chart, and ChatGPT will help you replicate or design it in Excel with precision and flair. - Automate with VBA: Automate repetitive tasks by learning how ChatGPT can craft VBA scripts tailored to your unique needs—no programming experience required. By the end of this course, you’ll have the skills to turn everyday challenges into Excel solutions, unlocking newfound productivity and creativity. Whether you’re a professional, a student, or simply someone who wants to do more with less effort, this course equips you to create, innovate, and excel like never before.
28DIGITAL
Capstone Value Creation through Innovation
Time to test your knowledge! You are ready - this course breaks it all down to one major assignment per week! This capstone course is the final course of the Value Creation Through Innovation Specialization. The specialization covers technology bases innovation and transformation and how to spot and to capitalize on emerging opportunities. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in the Value Creation Through Innovation Specialization. In this capstone project you will utilized the methods introduced in the courses The Impact of Technology, Innovation & Entrepreneurship, and Marketing Strategy for Entrepreneurs, and show that you master them. You should be able to show knowledge and judgment regarding when and how to utilize what method and approach. You will throughout the capstone project work on one project that you select yourself. Each week you will be given one major assignment to complete, and later to review.
Columbia University
Construction Finance
This course expands the knowledge of a construction project manager to include an understanding of economics and the mathematics of money, an essential component of every construction project. Topics covered include the time value of money, the definition and calculation of the types of interest rates, and the importance of Cash Flow Diagrams. The course covers these topics in three sections. The first section focuses on the foundation of building the mathematics of money, often referred to as value of money. It also highlights the present value techniques and the internal rate of return from a construction manager point of view. The second section of the course focuses on vertical construction finance and the last part focuses on horizontal construction finance. Under the vertical construction finance, the instructor discusses real estate finance and how that has been done with more in-depth details and gives examples for students to solve with instructions. The last topic, horizontal finance, is divided into two parts. To begin, the instructor introduces vast details about public private partnership. This module highlights around three case studies about PPP projects, which would be an introduction to project financing in horizontal work. After introducing case studies, the instructor demonstrates the risks associated with construction finance. After that, similar to the previous three courses, the course finishes with emphasizing the importance of construction finance.
Michigan State University
Forest Carbon Credits and Initiatives
"Forest Carbon Credits and Initiatives" is a comprehensive course designed to equip participants with the knowledge and skills needed to navigate the complex world of forest carbon projects. Through four informative presentations covering topics such as project design, quantification, and market access, participants will gain a deep understanding of forest carbon initiatives. By the end of the course, learners will be able to apply broad science and policy concepts to project-scale thinking, design high-integrity forest carbon projects with feasibility and financial considerations in mind, quantify carbon benefits, and effectively monitor and report project outcomes. With relevant science-based inputs, this course offers invaluable insights into the intricacies of forest carbon initiatives, empowering participants to make robust, quantifiable contributions to carbon sequestration efforts attractive for investment. Learning outcomes: 1. Apply broad scientific and policy principles to enhance project-scale analysis in forest carbon projects. 2. Demonstrate the ability to outline the process and key components of designing a forest carbon project 3. Analyze how activities create carbon credits or other carbon benefits in forest carbon projects 4. Utilize methods to calculate benefits by creating project baselines and measuring additionality 5. Utilize guidance effectively for forest carbon project development 6. Describe the role of monitoring, reporting, and verification in forest carbon projects
EDUCBA
Analyze Data Science Concepts Using R
By completing this course, learners will be able to analyze data using R, apply statistical and machine learning techniques, and interpret complex datasets through effective visualizations. Learners will evaluate data patterns, construct statistical models, and apply machine learning workflows to solve real-world problems using R. This course provides a comprehensive, end-to-end introduction to Data Science with R, covering data visualization, statistical analysis, probability, regression models, decision trees, and machine learning. Learners progress from foundational concepts to advanced techniques, gaining practical experience in exploring data, building models, and drawing actionable insights. The course emphasizes hands-on learning through structured modules, real datasets, and applied case studies, ensuring learners not only understand concepts but can implement them confidently. What makes this course unique is its balanced integration of visualization, statistics, and machine learning within a single R-based workflow. Unlike fragmented learning paths, this course connects analytical thinking with practical implementation, helping learners understand why methods are used, not just how. Designed for aspiring data analysts, statisticians, and data science professionals, the course builds industry-relevant skills that can be directly applied in academic, research, and business environments.
Packt
Introduction to Data Engineering on AWS
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. In this course, you'll gain a comprehensive understanding of data engineering using AWS Glue and Redshift, two critical tools for modern data workflows. You will be equipped with the skills to manage and transform data at scale, from cataloging and processing with AWS Glue to leveraging Redshift for powerful data warehousing and analytics. By diving into hands-on tutorials, you'll learn the core concepts and practical applications necessary to streamline data pipelines and optimize query performance. As you progress through the course, you will explore a variety of AWS Glue features such as Data Catalogs, ETL development, job bookmarking, and data quality evaluation, empowering you to automate data workflows and manage large datasets effectively. With Amazon Redshift, you will learn how to configure clusters, optimize queries, and even work with Redshift Spectrum and Serverless, improving the scalability and efficiency of your data operations. This course is ideal for data professionals looking to enhance their cloud-based data engineering skills, especially those who want to integrate AWS Glue and Redshift into their existing systems. It is suitable for learners with a basic understanding of data analytics, but prior knowledge of AWS or data engineering concepts would be beneficial. The course is designed for both beginners and intermediate learners, offering a solid foundation and practical skills that can be applied in real-world data engineering roles. By the end of the course, you will be able to build and optimize ETL pipelines using AWS Glue, manage data workflows, configure Redshift clusters, optimize query performance, and deploy serverless Redshift for scalable data warehousing solutions.
Coursera
كيفية تحسين رضى العملاء مع تجربة ما بعد الشراء على فايسبوك
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية تحسين رضا العملاء/الزبائن والاهتمام بهم والتواصل معهم بشكل دائم. كما و سوف تدرك كيفية تحسين تجربة العميل و إنشاء موقع فايسبوك فعال من أجل استقطاب العملاء و الحصول على نتائج أفضل.كما و ستمتلك القدرة على ملىء الاستبيان على جداول غوغل البيانية من أجل معرفة رضا العملاء في الشركة بحيث سنتطبق ذلك معاً خلال الدورة .و أخيراً سوف تدرك أهمية تجربة ما بعد الشراء و أهمية الالتزام بالهدف و الوقت المناسب من أجل عمليات بيع ناجحة. في نهاية هذه الدورة، ستكون قادراً على تطبيق محتوى هذه الدورة والتمكُّن من تجربة تحسين رضى العملاء.
Intel
The Intel® AI Value
Learn how Intel helps accelerates our customers' AI journey