1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. PUBLIC FINANCE DEPARTMENT
  4. 208 PUBLIC FINANCE (Evening Classes)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 420INTRODUCTION TO DATA ANALYTICS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of the course is to have basic knowledge about data cleaning, manipulating, processing and analysis.
Course Content This course teaches the fundamental ideas to clean, manipulate, process, and analyze data. The students will work on data analysis problems arising in various data-intensive applications. The course involves many in-class coding exercises where the students are expected to work on several case studies. Through these exercises, the course shall also serve as an introduction to data analytics and modern scientific computing with Python programming language.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
2Work with Python’s conditional statements, functions, sequences, and loops
1Learn how to code in Python
3Learn how to use the data analysis toolkit, Pandas
4Estimate univariate and multivariate regression analysis
5Work with scientific packages, like NumPy
6Plot graphs with Matplotlib

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 00133333333333333
LO 00233333333333333
LO 00333333333333333
LO 00433333333333333
LO 00533333333333333
LO 00633333333333333
Sub Total1818181818181818181818181818
Contribution33333333333333

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12020
Final examination12626
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes