The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
SkillUp
Get Started with Spreadsheet Applications: Excel
Spreadsheet applications are an essential part of productivity at work and school. Understanding how to use spreadsheet apps such as Microsoft Excel can make you a more efficient and valuable worker. In this mini-course, you will learn the essentials of working with spreadsheet apps. You will learn how to open, save, share, and print spreadsheet files, move around a worksheet, and enter and edit data. This course will teach you how to use formulas, functions, charts, and data, and it will also explain how to work collaboratively with online spreadsheets. Throughout this short course, you will complete numerous hands-on labs to gain practical experience. Once complete, you will take a graded assessment to demonstrate your knowledge. Demonstrations in this course use Microsoft Excel for the web. The skills learned from Excel for the web can be applied to other spreadsheet applications, such as the desktop version of Excel, Google Sheets, and others. This course is designed for beginners who want to get started with the basics of spreadsheet applications such as Microsoft Excel. It is appropriate for those looking to improve their skills with office productivity software to work more productively. Completion of this course will prepare you to work with spreadsheet applications in an office setting. This mini-course is one of a series of courses aimed at helping learners become more proficient in using office productivity applications.
Simplilearn
Jmeter training for Beginners
This JMeter for Performance and API Testing course equips you with the skills to design, run, and automate performance and API tests using Apache JMeter. Begin with the fundamentals of performance testing—learn JMeter setup, key testing processes, and popular tools. Explore how JMeter simulates real-world load to assess application scalability and reliability. Progress to API testing with hands-on demos to validate performance and functionality. Conclude with script recording to capture user behavior and generate reusable test plans. To be successful in this course, you should have a basic understanding of web applications, APIs, and some experience with software testing or DevOps workflows. By the end of this course, you will be able to: - Set up and configure JMeter for performance testing - Simulate load and analyze scalability using JMeter - Test APIs for performance and reliability with real-world scenarios - Record and reuse user flows using JMeter’s script recording feature Ideal for QA testers, performance engineers, and DevOps professionals.
Cloudera
Analyzing Big Data with SQL
In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL. By the end of the course, you will be able to • explore and navigate databases and tables using different tools; • understand the basics of SELECT statements; • understand how and why to filter results; • explore grouping and aggregation to answer analytic questions; • work with sorting and limiting results; and • combine multiple tables in different ways. To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements: • Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)
EDUCBA
Red Hat Linux: Configure, Manage & Optimize
By the end of this course, learners will be able to configure system time and users, manage and analyze services with systemctl, monitor active processes, configure file systems, deploy and manage web servers, and apply advanced Linux shell commands to streamline administration tasks. This Red Hat Linux course is designed to equip learners with practical, hands-on skills that go beyond theory. Through structured modules and guided demonstrations, learners gain the ability to apply commands confidently, troubleshoot real-world scenarios, and optimize system performance. What makes this course unique is its step-by-step progression from foundational system operations to advanced shell mastery, ensuring both beginners and intermediate users can follow along and build competence. Each lesson is enriched with practice quizzes and graded assessments to reinforce learning and measure progress effectively. Upon completion, learners will not only understand Red Hat Linux fundamentals but also demonstrate industry-relevant skills needed for server administration, web services management, and process optimization. This comprehensive yet accessible approach prepares learners to excel in system administration roles or advance their IT career with confidence.
University of Michigan
Applied Text Mining in Python
This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
University of Colorado Boulder
Network Principles in Practice: Linux Networking
Welcome! In this course, titled "Network Principles in Practice: Linux Networking," we delve into the dynamic domain of Linux Networking, featuring a robust set of features essential for contemporary networked systems. Departing from traditional approaches, our emphasis is on practical application over foundational knowledge. Throughout the course, you'll explore the integration of concepts into Linux, gaining hands-on experience in architecting and implementing complex networks and systems. From understanding the Linux kernel's role to building gateways and navigating virtual networking and container orchestration with Kubernetes, each week offers valuable insights and practical skills. Join us on this journey where understanding meets real-world application, providing a comprehensive exploration of network systems. This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo by Jordan Harrison on Unsplash.
Duke University
Introduction to Machine Learning
This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image recognition to text prediction. Through hands-on practice exercises, you'll implement these data science models on datasets, gaining proficiency in machine learning algorithms with PyTorch, used by leading tech companies like Google and NVIDIA.
University of California, Irvine
Fundamentals of Finance
Welcome to Fundamentals of Finance. This 4 module course will help you understand and affect the performance of your unit or organization’s profitability. By the end of this course, you will be able to implement finance and accounting concepts to drive your organization's growth, analyze financial statements and understand the factors in productivity and profitability, and create forecasting and budgeting. You will also have the ability to evaluate and manage cash flow, implement strategies around financing, and use of ratios in running a business.
Coursera
TikTok Strategy: Effective Content
In this course, you'll start to develop your personalized approach to TikTok content creation. You'll learn why having a strategic plan is crucial for consistent growth and engagement on the platform. You'll create your own content strategy that aligns with your goals and target audience. By the end of this lesson, you'll have a clear roadmap for the types of content you'll create and how you'll approach building your TikTok presence.
Board Infinity
Fundamentals of Product Management
Course Description This course provides an essential introduction to product management, equipping learners with the foundational knowledge and skills to succeed in this dynamic field. Participants will explore the key roles and responsibilities of a product manager, distinguishing between product management, product ownership, and project management. The curriculum covers developing product visions and strategies, utilizing product metrics and KPIs, and performing market analysis. Additionally, learners will enhance essential skills such as effective communication, analytical thinking, and cross-functional collaboration. By the end of the course, participants will be prepared to pursue rewarding careers in product management. Learning Objectives: 1. Define the key responsibilities and contributions of a product manager to business success, understanding how effective product management drives organizational outcomes. 2. Distinguish between various product management roles, such as product manager, product owner, and project manager, and identify the unique skills required for each position. 3. Develop a comprehensive product vision and strategy using product metrics, KPIs, and market analysis techniques to effectively inform roadmapping and prioritization. 4. Demonstrate essential skills for successful product management, including effective communication, analytical decision-making, and cross-functional collaboration with stakeholders. Target Audience: This course is tailored for students seeking a career in Product Management and professionals looking to transition into Product Management roles. It is ideal for individuals who wish to enhance their interviewing skills and deepen their understanding of the product management landscape, preparing them effectively for product management interviews. Prerequisites: -Engineering Degree preferable - not necessary -Basic knowledge of technology company operations Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
University of Alberta
Mountains 101
Mountains 101 is a broad and integrated overview of the mountain world. This 12-lesson course covers an interdisciplinary field of study focusing on the physical, biological, and human dimensions of mountain places in Alberta, Canada, and around the world. Specifically, we'll study the geological origins of mountains, how they’re built-up and worn-down over time; we’ll learn about their importance for biodiversity and water cycles, globally and locally; we’ll explore their cultural significance to societies around the globe, and how that relationship has evolved over time; and we’ll learn how mountains are used, how they’re protected, and how today they’re experiencing rapid change in a warming climate. At the end of each lesson, Mountains 101 will also provide learners with some smart tricks -- Tech Tips -- to safely enjoy time in the high alpine environment: from how to pick the best footwear for hiking to making smart decisions in avalanche terrain. We’ll be delivering your online lessons from valley bottoms to mountaintops, from museums and labs, to alpine huts and other spectacular alpine sites, and we’ll do so with the help of a whole host of experts. We invite you to join us for this online adventure! The mountains are calling...
Starweaver
Managing Employee Performance
In today’s fast-paced workplace, effective performance management is a critical capability for leaders at every level. This course provides managers and supervisors with practical strategies to set clear expectations, establish performance metrics, deliver constructive feedback, and conduct evaluations that drive growth and accountability. The program covers goal setting, coaching techniques, and methods for fostering a collaborative environment that supports employee engagement and development. Learners will also explore approaches for addressing performance challenges and improving team productivity and job satisfaction. Designed for new and emerging team leaders, supervisors, and managers—especially those without prior formal training—this course also serves as a valuable refresher for experienced professionals seeking to strengthen their management skills. By the end, you will be equipped to implement performance management practices that build stronger teams and enhance organizational success.
Fundação Instituto de Administração
Empreendedorismo e Inovação
Nossas boas-vindas ao Curso Empreendedorismo e Inovação. Neste curso, você aprenderá sobre os elementos centrais para organizações inovarem. Também se apresentará o essencial para se compreender o processo empreendedor. Ao final deste curso, você: - Compreender os principais elementos do processo de inovação e empreendedorismo. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Coursera
Analyze Supplier Performance: Boost Success
Transform your approach to contract management with Analyze Supplier Performance: Boost Success. This beginner-level course is crafted for procurement professionals and contract managers who need to ensure agreements deliver maximum value. Go beyond the signature and learn to proactively monitor supplier performance by analyzing spend and service-level data against contract terms, key performance indicators (KPIs), and service-level agreements (SLAs). This course provides a structured methodology for turning contract data into actionable insights. You will learn to conduct variance analysis to spot discrepancies, evaluate performance against SLAs, and, crucially, quantify the financial and operational impact of any non-conformance. Through hands-on tutorials and a real-world job task scenario—where you will investigate $18k in expediting fees from late deliveries—you will gain the practical skills needed to hold effective supplier reviews. You will leave this course equipped to not only identify performance issues but to build a systematic process for continuous improvement and risk management, ensuring your contracts work as hard as you do.
Duke University
Build a Static Website with Rust and Zola
In this project, you will learn how to use the Zola static site generator to build and deploy a fast, secure static website. You will install Zola, create a site structure, incorporate themes and templates, customize content and configuration, and deploy the final site to a cloud hosting platform. By the end of the project, you will have hands-on experience building a production-ready site with Zola that can be used for personal or professional use cases.
SkillUp
Statistical Analysis and Data Modeling in Healthcare
Advance your career in healthcare data analytics by mastering the statistical and predictive modeling techniques used across clinical, operational, and population health settings. In this hands-on course, you’ll learn how to analyze real-world healthcare datasets using descriptive statistics, hypothesis testing, regression analysis, and machine learning. Through interactive labs using Python and Jupyter Notebook in a Google Colab environment, you’ll compute key metrics, evaluate clinical groups, build predictive models, and interpret results with confidence. Designed for healthcare professionals, data analysts, and IT specialists, this course focuses on practical, industry-relevant skills. You’ll discover how to assess treatment effectiveness, explore associations among clinical variables, and generate predictions that support evidence-based clinical decision-making. The course also emphasizes ethical data practices, model validation, fairness, and the unique challenges of working with healthcare data. By the end of the course, you will be able to perform end-to-end healthcare data analysis, from data exploration and statistical testing to predictive modeling and interpretation. You’ll develop job-ready skills in healthcare analytics, statistical modeling, clinical data interpretation, and machine learning for healthcare, preparing you for roles such as healthcare data analyst, clinical data manager, or quality improvement specialist.