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VERİ BİLİMİNE GİRİŞ COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
VBA105 VERİ BİLİMİNE GİRİŞ 1 3 3 7

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 The relevant unit in the course book Introduction. Explanation, problem-solving, practical application
2 The relevant unit in the course book Data types and data sources. Explanation, problem-solving, practical application
3 The relevant unit in the course book Data collection methods and basic data structures. Explanation, problem-solving, practical application
4 The relevant unit in the course book Data cleaning and preprocessing (missing/erroneous data). Explanation, problem-solving, practical application
5 The relevant unit in the course book Basic statistical concepts (mean, median, variance). Explanation, problem-solving, practical application
6 The relevant unit in the course book Introduction to data visualization (tables, graphs). Explanation, problem-solving, practical application
7 The relevant unit in the course book Algorithmic thinking and the logic of data analysis (language-independent). Explanation, problem-solving, practical application
8 The relevant unit in the course book Examples of simple analysis on datasets. Explanation, problem-solving, practical application
9 The relevant unit in the course book Introduction to data mining and example applications. Explanation, problem-solving, practical application
10 - MID-TERM EXAM -
11 The relevant unit in the course book Introduction to machine learning (basic concepts). Explanation, problem-solving, practical application
12 The relevant unit in the course book Application areas of data science (healthcare, finance, education, etc.). Explanation, problem-solving, practical application
13 The relevant unit in the course book Big data and cloud-based data processing. Explanation, problem-solving, practical application
14 The relevant unit in the course book Ethical principles in data science and future trends. Explanation, problem-solving, practical application
15 The relevant unit in the course book General review Explanation, problem-solving, practical application
16 - FINAL EXAM -
17 - FINAL EXAM -