Data Analysis in R – Advanced Course

Objective: for students to build on their knowledge in using the R Project for Statistical Computing and use R for advanced statistical analyses and the application of machine learning algorithms in the fields of climate, geography and hydrology.

START:
15. September 2021
DURATION:
3 weeks, 2.5 h daily, Wednesdays to Fridays, 9:00 - 11:30 7 interactive lectures (15/9, 16/9, 17/9, 22/9, 24/9, 29/9, 01/10) and 2 sessions allocated for students to work on exercises (23/9, 30/9)
ID:
Online, via Zoom
CREDIT:
no

In this course you will build on the knowledge you have obtained in the Beginners Course by moving into more advanced statistical analyses of data and the application of machine learning algorithms. Not only will these skills increase the possibilities for what you can achieve in your studies, they are increasingly becoming a requirement to gain employment in many fields. They provide you numerous opportunities for the modern day professional work.

 

This course teaches how to use The R Project for Statistical Computing (commonly known as “R”) for advanced data analysis, focusing on advanced statistical analyses and the implementation of machine learning. The intensive course starts at an intermediate level and moves to an advanced level. Please note that the course uses examples and data analysis techniques in the fields of climate, geography and hydrology, and it is therefore recommend that students in master’s courses related to these topics attend.

Lecturers: Oscar Manuel Baez Villanueva & Ian McNamara

 

Find more information in the course description

 

Registration to this course:

1. Fill out the form in the sign up button below.

2. Your registration is successful, when you get a confirmation email from us.

No ECTS can be gained in this course.

Receive a signed participations certificate with the AGEP’s and DAAD’s  logo to verify your achievement and increase your job prospects.