This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems. Linear algebra is at the core of all of modern mathematics, and is used everywhere...

Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case...

Learn basic data visualization principles and how to apply them using ggplot2. As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package...

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it...

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio. A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our Professional...

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008. In this course, part of our Professional Certificate Program in Data Science,you will learn valuable concepts in probability theory. The motivation for this course is the circumstances...

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science. Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part ofourProfessional Certificate...

Build a foundation in R and learn how to wrangle, analyze, and visualize data. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you'll use a real...

The United Nations Sustainable Development Goals are an ambitious global agenda for prosperity, people, and planet. But how do we know if we are on track to achieve the SDGs? Which Goals should different stakeholders prioritize? And what kind of data do we need to ensure that no one is left behind? Sustainable...

Learn how to design a quantitative market research project, and implement specific methods, interpret data and come up with marketing decisions. Marketing research is crucial to marketing managers, as it helps answer crucial marketing questions using data. In this course, we introduce quantitative marketing...

Learn the mathematics behind linear algebra and link it to matrix software development. Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets. Students appreciate...

Aprende a usar y aplicar el poderoso lenguaje de SQL para comunicar y extraer mejor los datos de las bases de datos, algo imprescindible para cualquiera que trabaje en el campo de la ciencia de datos. Gran parte de los datos del mundo viven en bases de datos. SQL (Structured Query Language o lenguaje...

Aprende sobre la metodología, las prácticas y los requisitos detrás de la ciencia de datos para comprender mejor cómo resolver problemas con datos y garantizar que los datos sean relevantes y manipulados adecuadamente para abordar una variedad de proyectos y escenarios organizacionales del mundo real...

En este curso adquirirás los métodos estadísticos para la toma de decisiones en los negocios, así como herramientas tecnológicas para desarrollar habilidades cuantitativas. Áreas como el “big data” requieren un conocimiento muy claro de la estadística; en las áreas de negocios, la tecnología pone a nuestro...

Obtén información sobre las herramientas de ciencia de datos más populares (Jupyter Notebooks, RStudio IDE y Watson Studio), aprenderás cómo usarlas y cuáles son sus características. En este curso, aprenderás sobre las herramientas de ciencia de datos como Jupyter Notebooks, RStudio IDE y Watson Studio...

El arte de descubrir las percepciones y tendencias en los datos ha existido durante siglos. Los antiguos egipcios aplicaron datos del censo para aumentar la eficiencia en la recaudación de impuestos y predijeron con precisión la inundación del río Nilo todos los años. Desde entonces, las personas que...

Este curso en líneaexplora cómo la información debe ser completa, consistente, exacta, oportuna y basada en los estándares de la industriapara que podamos garantizar que la información que llega al cliente es la adecuada. La transmisión de la información entre tus socios de negocio de tu red de valor...

Learn to analyse contemporary macroeconomic policy issues and their impacts on business and on society. This course looks into what the Aggregate Demand Aggregate Supply (ADAS) model is and how it can help you understand what causes real GDP to deviate from its natural level. This course, regardless...

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration...

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix...