R Package Development aims to provide you with the basic tools and knowledge to write your own high-quality R packages.

In this course, we aim to show you how to develop your own R packages. By doing so, you can take your R programming skills to the next level, becoming not just a user, but also a developer.

▼Target audience
This course is suitable for people who:

• Have some previous exposure to R (like Skill Pill: R)
• Want to become active contributors to the R community through package development
• or Want to learn some advanced features of R

Amazon Web Service (AWS)​​ is a very powerful cloud computing platform powering not only Amazon, but also many other web services across the globe. Scientists are now embracing the massive computing capacity of AWS to perform innovative scientific computing.

▼Target audience

The course requires basic knowledge of Python programming language. In addition, basic understanding of Linux command line is desired to run the hands-on tutorials.

No prior knowledge in cloud computing is needed, but if you know how to use Deigo that will help.

Amazon Web Service (AWS)​​ is a very powerful cloud computing platform powering not only Amazon, but also many other web services across the globe. Scientists are now embracing the massive computing capacity of AWS to perform innovative scientific computing.

▼Target audience

The course requires basic knowledge of Python programming language. In addition, basic understanding of Linux command line is desired to run the hands-on tutorials.

No prior knowledge in cloud computing is needed, but if you know how to use Deigo that will help.

Amazon Web Service (AWS)​​ is a very powerful cloud computing platform powering not only Amazon, but also many other web services across the globe. Scientists are now embracing the massive computing capacity of AWS to perform innovative scientific computing.

▼Target audience

The course requires basic knowledge of Python programming language. In addition, basic understanding of Linux command line is desired to run the hands-on tutorials.

No prior knowledge in cloud computing is needed, but if you know how to use Deigo that will help.

Amazon Web Service (AWS)​​ is a very powerful cloud computing platform powering not only Amazon, but also many other web services across the globe. Scientists are now embracing the massive computing capacity of AWS to perform innovative scientific computing.

▼Target audience

The course requires basic knowledge of Python programming language. In addition, basic understanding of Linux command line is desired to run the hands-on tutorials.

No prior knowledge in cloud computing is needed, but if you know how to use Deigo that will help.

Fourier Transforms will go over the theory and diverse applications of the most famous mathematical transformation.

▼Target audience

This course is suitable for people with a vague knowledge of what a Fourier transform is and wish to deepen that knowledge. Minimal knowledge of Python is a plus but not required.

Fourier Transforms will go over the theory and diverse applications of the most famous mathematical transformation.

▼Target audience

This course is suitable for people with a vague knowledge of what a Fourier transform is and wish to deepen that knowledge. Minimal knowledge of Python is a plus but not required.

Photogrammetry is a technique that lets you create a 3D model of an object you have taken pictures from it. Perfect for creating 3D assets, art, 3D printed models, being also useful for visualizing in 3D your object of scientific study. 

▼Target audience
This course is suitable for anyone. 

Photogrammetry is a technique that lets you create a 3D model of an object you have taken pictures from it. Perfect for creating 3D assets, art, 3D printed models, being also useful for visualizing in 3D your object of scientific study. 

▼Target audience
This course is suitable for anyone. 

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).