TR EN

DATA ANALYTICS I COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS317 DATA ANALYTICS I 5 3 3 8

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Course Information (Syllabus) and Introduction to Data Analytics and R Programming Lecture & Discussion & Practice
2 Literature Review, Assignment Basic Data Structures in R Lecture & Discussion & Practice
3 Literature Review, Assignment Control Statements and Loops in R Lecture & Discussion & Practice
4 Literature Review, Assignment Functions in R Lecture & Discussion & Practice
5 Literature Review, Assignment Data Visualization with R Lecture & Discussion & Practice
6 Literature Review, Assignment Data Preprocessing with R Lecture & Discussion & Practice
7 Literature Review, Assignment Simple and Multiple Regression Models Lecture & Discussion & Practice
8 Literature Review, Assignment K-Means Clustering Algorithm Lecture & Discussion & Practice
9 Literature Review, Assignment K-Nearest Neighbors (KNN) Algorithm Lecture & Discussion & Practice
10 - MID-TERM EXAM -
11 Literature Review, Assignment Decision Trees: Regression and Classification Lecture & Discussion & Practice
12 Literature Review, Assignment Random Forests: Regression and Classification Lecture & Discussion & Practice
13 Literature Review, Assignment Q&A Session on Final Projects Lecture & Discussion & Practice
14 Literature Review, Assignment Q&A Session on Final Projects Lecture & Discussion & Practice
15 FINAL FINAL Lecture & Discussion & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -