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Course Description
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Course Name
Data Analysis II
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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 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 ScienceTEACHING METHODS
Lectures, practicals, question hoursTYPE 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.