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DATA ANALYTICS II COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS316 DATA ANALYTICS II 6 3 3 8

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Data, Information, Knowledge Concepts Lecture & Studying on Sample & Practice
2 Studying on Sample, Assignment Explaining R infrastructure and its installation Lecture & Studying on Sample & Practice
3 Studying on Sample, Assignment Loop structure and its functions Lecture & Studying on Sample & Practice
4 Studying on Sample, Assignment Data types (structural, non-structural nominal, ordinal data) Lecture & Studying on Sample & Practice
5 Studying on Sample, Assignment Basic statistical calculation and visualisation Lecture & Studying on Sample & Practice
6 Studying on Sample, Assignment Data pre-processing process Lecture & Studying on Sample & Practice
7 Studying on Sample, Assignment Principal Component Analysis Lecture & Studying on Sample & Practice
8 - MID-TERM EXAM -
9 Studying on Sample, Assignment Regression analysis Lecture & Studying on Sample & Practice
10 Studying on Sample, Assignment Hypothesis tests Lecture & Studying on Sample & Practice
11 Studying on Sample, Assignment Decision trees Lecture & Studying on Sample & Practice
12 Studying on Sample, Assignment Choosing Model and its methods Lecture & Studying on Sample & Practice
13 Studying on Sample, Assignment Logistic Regression Lecture & Studying on Sample & Practice
14 Studying on Sample, Assignment Practice Studying on Sample & Practice
15 Studying on Sample, Assignment Practice Studying on Sample & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -