The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Data Visualization in Microsoft PowerPoint
At the end of this project you will be able to create a simple PowerPoint presentation from scratch using different basic elements. First, you will learn how to create your PowerPoint presentation using text. Then, you will get to know options to improve your presentation by adding images and other visuals. Additionally, you will learn a few easy methods to make your slide transitions smoother and more appealing to your audience. Creating a Microsoft PowerPoint will allow you to be able to have the best visual support possible during your presentation. Visual support via Microsoft PowerPoint will ensure your audience stays engaged and attentive as well as interested. The goal of this project is to teach you how to be successful with your presentations and how to make them more interesting so your audience can digest the information you are providing more easily and will also retain more of the information provided.
University of Michigan
Arranging and Visualizing Data in R
This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide variety of concepts will be covered, including sorting rows of data, grouping by variables, summarizing over variables, pivoting, and creating new variables. Then, learners will visualize their data, creating publication-ready plots with relatively little effort. Finally, learners will understand how to set up a project workflow for their own analyses. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured practice.
California Institute of the Arts
Acting Skills for Business Communication and Leadership
This course establishes a foundation in practical acting techniques designed to enhance communication efficacy and confidence within professional and global business environments. By utilizing physical, vocal, and imaginative exercises from professional actor training, the curriculum provides a structured approach to managing the "performance" aspects of leadership and professional engagement. Participants investigate methodologies to refine empathetic listening, optimize vocal resonance, and master non-verbal communication. The program focuses on developing curious, creative, and authoritative communicators capable of navigating diverse professional interactions with executive presence and emotional intelligence.
Google Cloud
Elastische GC-Infrastruktur: Skalierung und Automatisierung
Dieser On-Demand-Intensivkurs bietet Teilnehmenden eine Einführung in die umfangreiche und flexible Infrastruktur und die Plattformdienste von Google Cloud. In Videovorträgen, Demos und praxisorientierten Labs lernen Teilnehmende Lösungselemente kennen und stellen sie bereit. Dazu gehören sichere Interconnect-Netzwerke, Load Balancing, Autoscaling, Automatisierung der Infrastruktur und verwaltete Dienste.
University of Michigan
Database Architecture and NoSQL at Scale with Deno
In this final course of the PostgreSQL for Everybody specialization, you’ll explore how modern databases are built and scaled. You’ll begin by examining PostgreSQL’s architecture, including how it implements CRUD operations, indexing, transactions, and ACID (Atomicity, Consistency, Isolation, Durability) guarantees. Then you’ll shift to NoSQL systems using the Deno environment. You’ll learn how Deno implements a distributed Key-Value store and how it applies BASE (Basic Availability, Soft State, Eventual Consistency) principles. Through hands-on projects, you’ll deploy your own Deno KV service on Deno’s global infrastructure and build a Deno client to interact with it. By the end, you’ll understand the design tradeoffs between ACID and BASE databases and gain practical experience deploying and scaling both relational and NoSQL systems.
Coursera
Brand Styles: Audit & Apply
Transform your brand management capabilities and ensure visual consistency across all marketing touchpoints. This course empowers digital marketing professionals to maintain brand integrity through hands-on practice with style guide updates and systematic compliance auditing. By completing this course, you'll master the essential skills to apply changes to brand style guides reflecting new visual standards and evaluate assets for compliance with structured scoring systems. You'll gain confidence working with brand documentation, SharePoint collaboration, and presenting audit findings to creative teams. By the end of this course, you will be able to: Apply changes to a brand style guide to reflect new visual standards Evaluate assets for compliance with style guides and score their adherence This course is unique because it combines practical brand management with systematic quality control, giving you both the creative oversight and analytical skills demanded in today's data-driven marketing landscape. To be successful in this project, you should have a background in basic digital marketing concepts and familiarity with collaborative platforms.
O.P. Jindal Global University
Introduction to Environmental Science
This course uses an organised, module-based methodology to impart a fundamental understanding of environmental science. Environmental Pollution introduces the main contaminants, their sources, health effects, and global views at the start of the program. After that, it moves on to Social Issues and Environment, where students study global case studies that highlight the connections between environmental problems, pollution, and human health. Ecosystem structure, nutrient cycle, energy flow, and vital ecosystem services are all covered in the third module, Ecosystems. Building on this, the Biodiversity and Conservation module presents planetary boundaries, biome integrity, community ecology, and biodiversity principles. The last module, Climate Change and Environment, introduces students to global consequences, anthropogenic and natural sources of climate change, climatic processes, and the fundamentals of adaptation and mitigation. Lecture videos and carefully chosen readings from reputable scientific sources are combined in the pedagogy.
Packt
Financial Analysis with ARIMA and Time Series Forecasting
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 will provide you with a deep understanding of how to analyze financial data using ARIMA and time series forecasting. You will learn the foundational techniques required to model and predict financial time series, equipping you with the skills to apply these methods to real-world data. Upon completion, you’ll be able to use ARIMA models to forecast trends, assess financial risks, and optimize investment strategies. The course begins with an introduction to time series basics, exploring essential concepts such as stationarity, transformations, and autocorrelations. You’ll then dive into the specifics of financial time series, understanding their unique properties and learning how to apply ARIMA (AutoRegressive Integrated Moving Average) models. We cover both theoretical and practical aspects, ensuring you not only grasp the concepts but also gain hands-on experience through coding. You will go through detailed sections on ARIMA, starting with autoregressive and moving average models before progressing to the complete ARIMA framework. You'll explore the significance of ACF (Autocorrelation Function) and PACF (Partial Autocorrelation Function) in model selection. Through practical coding examples, you'll learn how to implement these models, including Auto ARIMA and SARIMAX, and apply them to stock returns and sales data for forecasting. This course is ideal for anyone looking to advance their financial analysis skills, from analysts and investors to data scientists. A background in basic programming and financial concepts is recommended, but not required. With its intermediate difficulty level, the course offers a comprehensive learning experience for those interested in quantitative finance, machine learning, and time series forecasting.
Coursera
Market Research, CRM, and Social Media Management
You'll develop comprehensive skills in market research, customer relationship management, and social media strategy that digital marketing professionals use daily. Through hands-on practice with industry-standard tools like HubSpot CRM and social media monitoring platforms, you'll learn to design effective surveys, manage customer journeys, schedule content strategically, and track brand presence across digital channels. This integrated approach combines data analysis with customer engagement tactics, giving you the versatile skill set that modern marketing teams demand. You'll work with real-world scenarios that mirror the challenges digital marketing specialists face, from capturing leads to nurturing customer relationships through automated workflows. By the end, you'll confidently navigate CRM systems, create data-driven social media strategies, and measure marketing effectiveness using both quantitative metrics and qualitative insights. This course uniquely blends technical proficiency with strategic thinking, preparing you to contribute immediately to marketing teams in any industry.
MathWorks
Advanced Deep Learning Techniques for Computer Vision
Visual inspection and medical imaging are two applications that aim to find anything unusual in images. In this course, you’ll train and calibrate specialized models known as anomaly detectors to identify defects. You’ll also use advanced techniques to overcome common data challenges with deep learning. AI-assisted labeling is a technique to auto-label images, saving time and money when you have tens of thousands of images. If you have too few images, you’ll generate synthetic training images using data augmentation for situations where acquiring more data is expensive or impossible. By the end of this course, you will be able to: • Train anomaly detection models • Generate synthetic training images using data augmentation • Use AI-assisted annotation to label images and video files • Import models from 3rd party tools like PyTorch • Describe approaches to using your model outside of MATLAB For the duration of the course, you will have free access to MATLAB, software used by top employers worldwide. The courses draw on the applications using MATLAB, so you spend less time coding and more time applying deep learning concepts.
Packt
Web Development Bootcamp with React Bootstrap 5 & REST API
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. Dive into the world of modern web development with a hands-on, project-based approach using React, Bootstrap 5, and REST APIs. Throughout this course, you'll master the fundamentals of web development, learn how to create stunning user interfaces, and connect to APIs for dynamic content management. The journey starts with setting up your environment, including Visual Studio Code and Node.js, before advancing to building and styling your React app with Bootstrap and custom components. As you progress, you’ll design engaging features like navigation bars, contact forms, and homepages. You will also delve into React Router for seamless navigation, enhance user experiences with dynamic routing, and integrate REST API functionality to fetch and display real-time data. Practical exercises will allow you to practice creating, editing, and deleting posts, while also covering essential user management features like signup, login, and authentication. This course is perfect for aspiring web developers who want to build a solid foundation in React development and integrate interactive APIs into their applications. It’s suitable for beginners with a basic understanding of HTML, CSS, and JavaScript, and it progressively builds on your skills to reach more complex tasks. By the end of the course, you will be able to create dynamic, responsive websites using React, Bootstrap 5, and REST APIs, manage user authentication, implement CRUD functionality, and style web pages effectively with modern tools and practices.
Coursera
Canva Design Fundamentals
The Canva Design Fundamentals course provides a hands-on introduction to creating professional designs using Canva’s core features. Learners start by navigating Canva’s intuitive dashboard, setting up projects, and organizing their workspace for efficient workflows. They then explore how to add and manipulate text, images, and graphic elements, applying layout principles and alignment tools to create balanced, polished compositions. Building on these skills, the course introduces essential visual design principles—contrast, repetition, alignment, proximity, and hierarchy—to guide attention and improve readability across multi-page layouts. Through practical activities, learners design a complete event program, including a structured project setup, an engaging cover page, and cohesive interior pages. By the end of this course, learners will have mastered Canva’s essential tools and foundational design principles, enabling them to produce professional-quality projects with consistency, creativity, and confidence.
EDUCBA
Master AutoCAD Drafting: Create & Refine Architectural Plans
By the end of this course, learners will be able to create accurate architectural drawings, apply essential drafting tools, refine structural layouts, design detailed plan components, and annotate technical drawings using professional standards. This hands-on AutoCAD Case Study course guides learners step-by-step through the full drafting workflow—starting with foundational tools and ending with a fully detailed architectural plan. Designed for beginners and emerging professionals, the course breaks down complex drafting tasks into clear, manageable lessons that build confidence through real project application. Learners benefit from practical demonstrations, precise explanations, and guided exercises that mirror real-world drafting scenarios used by architects and designers. What makes this course unique is its project-based learning approach: instead of learning tools in isolation, students develop a complete plan from start to finish, gaining experience in workspace setup, drawing fundamentals, plan detailing, hatching, furniture placement, dimensioning, and lettering. Whether preparing for industry work or strengthening design skills, learners leave equipped with essential AutoCAD drafting competencies that can be applied immediately to professional projects.
University of Illinois Urbana-Champaign
Health Data Science Foundation
This course is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios. We cover deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.
Packt
Python Geospatial Development Essentials
This course equips learners with the skills to utilize Python and open-source libraries for building lightweight, portable GIS desktop applications. It emphasizes practical, hands-on techniques for integrating geospatial data and tools, allowing both beginners and experienced developers to engage in advanced spatial analysis. You will learn to design and structure a custom GIS application, utilizing Tkinter for UI development and geospatial libraries for data visualization. The course provides a step-by-step approach to handling both vector and raster data types, ensuring you can manipulate and analyze spatial data efficiently. Unlike typical GIS courses, this one combines theory with real-world applications by guiding you through creating a functional GIS tool, rather than focusing on abstract concepts. The course’s practical approach ensures you gain valuable, applicable experience. This course is ideal for Python programmers looking to create custom GIS applications. Analysts, geographers, and GIS professionals seeking to expand their Python skills will benefit. A basic understanding of Python and Tkinter is recommended but not required.
Pontificia Universidad Católica de Chile
Fundamentos de sistemas recomendadores
El MOOC “Fundamentos de sistemas recomendadores” tiene como propósito que los estudiantes conozcan los principales conceptos asociados a estos sistemas, así como su evolución histórica. Se enseñarán las principales técnicas de recomendación, como son el filtrado colaborativo y el filtrado basado en contenido. Adicionalmente, se espera que los estudiantes conozcan y apliquen diversas métricas de evaluación que les permitan evaluar diferentes dimensiones de los sistemas de recomendación.