Data Analysis II

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Data Analysis II

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Computer Programming, Statistics

  • Language Level

    Taught In English

  • 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.

    Hours & Credits

  • ECTS Credits

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

    COURSE OBJECTIVE
     The student further explores the fields of statistics, data science and econometrics, and also obtains first skills of programming in Python.

    Attention is given to how methods are implemented in a matrix-oriented software environment. A case study on the house prices in Amsterdam is carried out and the student learns how to present empirical results.

    COURSE CONTENT
    - Analyse large data sets and make predictions using statistical models
    - Learn how to apply software implementations in a matrix-oriented environment
    - Learn how to present results: written reports and presentations.
    - Learn how to work in a group of students.
    - Self-reflection: reflect on choice for Bachelor Econometrics & Data Science, reflect on first year of Bachelor Econometrics & Data Science

    TEACHING METHODS
    Lectures, practicals, question hours

    TYPE OF ASSESSMENT
    Assignments and presentations.

     RECOMMENDED BACKGROUND KNOWLEDGE
    Knowledge of calculus, probability and statistics

Course Disclaimer

Courses and course hours of instruction are subject to change.

Some courses may require additional fees.