Data Analysis I

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Data Analysis I

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Computer Info Systems, Statistics

  • Language Level

    Taught In English

  • Course Level Recommendations

    Lower

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    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • 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 tutorials

    TYPE OF ASSESSMENT
    Assignment and written exam.

Course Disclaimer

Courses and course hours of instruction are subject to change.

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