ECON413 INTRODUCTION TO DATA SCIENCE

Course Code:3110413
METU Credit (Theoretical-Laboratory hours/week):3 (2.00 - 2.00)
ECTS Credit:6.0
Department:Economics
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. EROL TAYMAZ
Offered Semester:Fall and Spring Semesters.

Course Objectives

By the end of the course the students will know how they use the data science for economic analysis, and learn the basic tools that they need for data analysis. At the end of the course the students apply these tools and techniques to analyze a real-world problem by using R in all stages of the research process.


Course Content

Data science is an interdisciplinary field about scientific processes and systems to extract knowledge or insights from data in various forms. With the availability of substantial amount of data in various forms and resources, it has become essential for economists to be equipped with skills needed to collect, process, analyze, and present the data. The course will be taught as a series of workshops. Main topics and methods will be summarized and discussed in each lecture, and the students will write the code to
perform the task assigned to them during the lecture. The students will learn how to write basic programs in R which is one of the most popular open-source programming language currently in use by data scientists.


Course Learning Outcomes

Thus the students at the end of the semester will be able to:

  • Learn basic programming skills with R Programming

  • Access the data from various sources and formats

  • Reshape and clean the data for reporting and further analysis

  • Explore and visualize the data

  • Conduct statistics analysis by using R

  • Perform reproducible research


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1The aim of our program is to equip our students with the necessary skills and tools to have a firm understanding of economic theory and policymaking. Our graduates will be able to conceptualize economic problems, assess, analyze, and propose scientific solutions to them.
2Our students are expected to have interdisciplinary perspective to be able to follow and understand daily economic and political developments.
3Our program also trains students to be open to new ideas, be sensitive about social problems surrounding them and work towards providing solutions for these to share with their community.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution