Data Analysis I
Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Computer Info Systems, Statistics
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
The main task of a data scientist is to extract relevant information from data. Statistical knowledge together with a data manipulation and statistical software play a key role in data analysis. This course provides an introduction to the software R and to some data visualization and data modeling techniques. In this course, participants will:
(1) Become familiar with some basic concepts of data visualization and modeling.
(2) Learn the data analysis software R.
The course will present basic concepts of data analysis such as summarizing and visualizing data. The course will also discuss some data modeling methods. These concepts and methods will be applied using the software R. In particular, the course will cover how to handle real datasets, visualize data and implement some basic modeling techniques with R.
Lectures and tutorials
TYPE OF ASSESSMENT
Assignment and written exam.
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.