Genel Bilgi Konu Başlıkları Yeterlilik İlişkisi Değerlendirme Sistemi Öğrenme Çıktıları Özgü Ölçüt Matrisi

Hafta	Teori Konu Başlıkları
1	Introduction to Data Science and the Data Science Lifecycle
2	Data Sources, Data Collection and Data Formats
3	Data Quality and Data Cleaning
4	Data Transformation and Data Integration
5	Exploratory Data Analysis (EDA)
6	Data Visualization and Visual Analytics
7	Descriptive Statistics and Basic Statistical Reasoning
8	Midterm Exam
9	Relationships in Data: Correlation, Association and Patterns
10	Introduction to Predictive Analytics
11	Introduction to Machine Learning Concepts
12	Working with Different Data Types
13	Data Ethics, Privacy, Bias and Responsible Data Science
14	End-to-End Data Science Project / Presentations

Hafta	Uygulama Konu Başlıkları
1	Getting Started with the Data Science Workflow
2	Exploring Data Sources and Data Formats
3	Detecting and Handling Data Quality Problems
4	Transforming and Combining Data
5	Exploratory Analysis of a Dataset
6	Creating Effective Data Visualizations
7	Describing and Comparing Data
8	Midterm / No Regular Lab
9	Exploring Relationships Between Variables
10	From Exploration to Prediction
11	A First Look at Machine Learning Models
12	Working with Non-Tabular and Mixed Data
13	Identifying Bias and Ethical Issues in Data
14	Mini Data Science Project