RICARDO ALER MUR
Theorethical and Lab hours: 21+21
Total hours: 42
Programming in R; Basic knowledge about machine learning.
In this course three advanced topics are taught in order to complement the knowlege acquired in the master, so that data science and data analysis skills of students are improved: combining C++ and R in order to improve R efficiency; basic knowledge about Python and its data, machine learning, and visualization libraries; and basic knowledge about the statistical Stan language.
Slides for the lectures, that include some tutorials and exercises.
PRACTICAL ASSIGMENTS AND ASSESSMENT ACTIVITIES
Lab materials for practicing R and C++ integration, Python, Machine Learning, and data visualization.
Exams (with answers) for self-evaluation.