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Course Description
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Course Name
Data Analysis I
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Host University
Vrije Universiteit Amsterdam
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Location
Amsterdam, The Netherlands
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Area of Study
Computer Science, Statistics
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Language Level
Taught In English
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Course Level Recommendations
Lower
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.
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ECTS Credits
6 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units4
Hours & Credits
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Overview
COURSE OBJECTIVE
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.COURSE CONTENT
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.TEACHING METHODS
Lectures and tutorialsTYPE OF ASSESSMENT
Assignment and written exam.
Course Disclaimer
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.