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• Technology

  Intermediate

  Solve Root Cause Issues

  When cost overruns threaten project success, quick fixes won't solve the underlying problem. This Short Course was created to help data analysts accomplish systematic root cause identification and validation. By completing this course, you'll be able to apply proven analytical frameworks like the 5 Whys and Pareto analysis to uncover the true drivers behind operational issues, then compare different RCA techniques to select the most effective approach for your specific context. By the end of this course, you will be able to: Apply the 5 Whys and Pareto analysis to identify dominant cost drivers Evaluate multiple RCA techniques to determine the most explanatory approach This course is unique because it combines hands-on application of fundamental RCA tools with critical evaluation skills to help you choose the right technique for each situation. To be successful in this course, you should have experience with basic data analysis and project management concepts.

  120 min

  View details: Solve Root Cause Issues
• Technology

  Intermediate

  Human Computer Interaction

  Explore how humans interact with technology and how thoughtful design transforms those experiences. This course examines the principles of intuitive, user-friendly, and accessible interface design, emphasizing user-centered approaches that ensure usability across diverse platforms and devices. Beginning with the foundations of human factors and cognitive psychology, you’ll trace the evolution of interaction design and learn methods for analyzing user needs, conducting usability testing, and refining prototypes through research and feedback. Beyond traditional interfaces, you’ll explore multimodal interaction—spanning voice, gesture, and cross-platform experiences. By engaging with design patterns, evaluation methods, and emerging technologies, you’ll gain the skills to create seamless, high-performance digital experiences. Integrating theory and practice, the course equips aspiring UX designers, developers, and IT professionals with essential skills to shape innovative, human-centered technologies that enhance the way people live, work, and connect.

  5400 min

  View details: Human Computer Interaction
• Technology

  Intermediate

  Deconstruct AI: Complex ML Problems

  This course helps you break down complex ML systems into clear, reusable parts and communicate them using practical abstractions. You’ll learn how to separate ingestion, feature serving, inference APIs, and monitoring components while creating flowcharts and pseudocode that guide implementation. Using examples such as real-time fraud detection and feature store workflows, you’ll practice decomposing systems and designing abstractions engineers depend on. Through short videos, readings, hands-on practice, a coach-guided reflection, and a 45-minute ungraded lab, you’ll build skills used across ML engineering and MLOps roles. By the end, you’ll be able to confidently analyze ML systems and produce artifacts that support scaling, clarity, and production readiness.

  View details: Deconstruct AI: Complex ML Problems
• Business

  Intermediate

  Gestión del agua para las ciudades del futuro

  ¿Sabes cuáles son los desafíos a los que se enfrentan las ciudades relativos al agua? ¿Sabes cuáles son las acciones que puedes realizar para la mejor gestión del agua en tu ciudad? Este MOOC brinda herramientas para mejorar la gestión de los recursos hídricos en las ciudades bajo una visión integral y de sostenibilidad. Para ello se revisan los aspectos institucionales, financieros y técnicos de la gestión del agua urbana y se examinan los enfoques de la economía circular, de visión de cuenca, de resiliencia y adaptación al cambio climático como mecanismos para garantizar el desarrollo sostenible de las ciudades. El curso está dirigido a funcionarias y funcionarios públicos y privados, personas con perfil técnico, de investigación o docencia, estudiantes de America Latina y el Caribe y todas aquellas personas vinculadas con los procesos de gestión de aguas urbanas.

  View details: Gestión del agua para las ciudades del futuro
• Technology

  Beginner

  Speed Up Data Analysis and Presentation Building

  Need to crunch data or pull together a presentation? You’ll design prompts that help you extract insights, understand spreadsheet formulas, and build graphs to visualize data. Once you’re ready to present your findings, you can use AI tools to help with speaker notes and practice before your big day.

  60 min

  View details: Speed Up Data Analysis and Presentation Building
• General

  Beginner

  MyCredSkills Comunicación para estudiantes.

  Este curso está dedicado principalmente a usuarios interesados en emplear habilidades de comunicación efectiva, interpersonal, verbal y escrita para tener resultados óptimos en el lugar de trabajo.

  View details: MyCredSkills Comunicación para estudiantes.
• Technology

  Intermediate

  Rust for DevOps

  Rust For DevOps is an intermediate level course for software engineers, system administrators, and technical professionals looking to apply DevOps principles using Rust. This course is for you if you have beginner level programming experience and are familiar with Linux, Git, and Docker fundamentals. Through video lessons and coding exercises, you will gain practical Rust skills to build, deploy, and monitor applications using DevOps workflows. You will implement containerization, instrument your code for observability, and automate common administration tasks like file parsing and cron jobs. By the end, you will have the Rust and DevOps skills to rapidly develop robust large-scale applications, regardless of your specific technical role.

  1500 min

  View details: Rust for DevOps
• Technology

  Beginner

  Introduction to Data Management

  This course explores the basics of data management. You will learn the role that data plays in making decisions and the standard methods of data collection and quality management. You will gain an understanding of data storage systems and data storage architecture. You will examine the fundamentals of data privacy and compliance, as well as the basics of machine learning. By the end of this course, you will be able to: • Describe the fundamentals of data collection and data quality management • Explain data storage solutions and architectures, including big data management • Define data security, privacy and governance principles This course is for learners who want to gain foundational knowledge of data management.

  1320 min

  View details: Introduction to Data Management
• General

  All levels

  Introduction to Forensic Science

  This course explains the scientific principles and techniques behind forensic science, moving beyond popular media portrayals. It uses case studies from around the world to illustrate real-world applications. This course is for anyone interested in the scientific methods used in criminal and non-criminal investigations, including students considering careers in science, law enforcement, or related fields. No prior forensic science background is required, but a basic understanding of science is helpful. By the end of this course, you will be able to: - Understand the scientific foundations of forensic investigations. - Identify and analyze various types of physical evidence. - Explain the role of chemistry and biology in forensic analysis. - Interpret forensic findings using real-world case examples. Learners will gain familiarity with analytical techniques such as chromatography and spectroscopy, commonly used in forensic laboratories. *For Nanyang Technological University (NTU) students, please be noted that this course will no longer be eligible for credit transfer.

  View details: Introduction to Forensic Science
• Engineering

  All levels

  Optique non-linéaire

  Introduction à l'optique non-linéaire, qui correspond au régime d'interaction laser-matière que l'on peut explorer à l'aide de lasers intenses, comme par exemple les lasers femtosecondes.

  View details: Optique non-linéaire
• Technology

  Intermediate

  Input Output, Expression Handling, and System Management

  This course is designed to provide learners with a practical and conceptual foundation in Unix-based input/output handling, file management, and system administration. Through two in-depth modules, learners will progress from understanding essential I/O mechanisms to executing advanced administrative tasks using Unix commands and structures. In Module 1, learners will define, demonstrate, and apply principles of input/output processing, file streams, standard redirection, and text substitution using tools like sed and regular expressions. The lessons in this module emphasize file-based operations and the abstraction of system components in Unix. Module 2 shifts focus to navigation, disk management, and user-level control. Learners will describe the Unix directory hierarchy, execute device mounting operations, and manage user accounts and permissions—developing the skills needed for real-world system maintenance and security enforcement. With a blend of theoretical concepts, command-line practice, graded assessments, and real-use scenarios, this course equips learners to not only operate confidently in Unix environments but also to analyze system behaviors and evaluate administrative strategies effectively.

  View details: Input Output, Expression Handling, and System Management
• Technology

  Intermediate

  Use Python Regular Expressions to Process File Data

  By the end of this project, you will use the python re package to create an application that verifies email form data from a file. Regular expressions are used to search for data patterns. They can be used to validate file or web data, and/or replace data when a match is found. In Python, the regular expression is compiled with a regular expression pattern. Then a string is passed to the regular expression engine where the search for the pattern match takes place. 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.

  120 min

  View details: Use Python Regular Expressions to Process File Data