Compilation Basics for Macroeconomic Statistics
Better data leads to better policies.For policymakers to make sound policy decisions, they need a core set of macroeconomic and financial statistics. Learn the essential background concepts and basic tools needed to compile data using the best available methods.
Responsible Innovation: Ethics, Safety and Technology
How to deal with risks and ethical questions raised by development of new technologies.
Introduction to Node.js
Get started with Node.js, the most popular open source JavaScript runtime. Discover the ways in which Node.js helps in everyday computing scenarios, from service-mocking, rapid-prototyping and real-time applications, to Command Line Interfaces (CLI).
Data Analytics Basics for Everyone
Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.
Digital Networks Essentials
Learn through hands-on experience how data flows through the internet, your phone and the IP protocols that support all online communications.
How Stuff Moves, Part 3: Wave Motion
A Calculus-based introduction to Newtonian mechanics that emphasizes problem-solving.
Statistical Inference and Modeling for High-throughput Experiments
A focus on the techniques commonly used to perform statistical inference on high throughput data.
Computer System Design: Advanced Concepts of Modern Microprocessors
Learn about advanced computer design concepts, including how to make modern multicore-based computers both fast and energy efficient.
The Program Manager – Applying Power Skills and Digital Enablers to Create Continual Change
Learn the practices surrounding the creation of a healthy change culture, explore the power and leadership skills future leaders must possess, appreciate how various leadership roles and digitalization contributes to program managers’ success, and practice how to become an effective leader and balance the human and connected demands for the future of work.
Introducción a Machine Learning
Conoce los conceptos básicos del aprendizaje automático de máquinas, usando un acercamiento algebraico. Aborda problemas de regresión, clasificación y agrupamiento, desde modelos lineales hasta modelos no-lineales utilizando redes neuronales artificiales.
