Data Science for the Public Good Programı

Seçmeli Ders Programı

Seçmeli ders programı algoritmik beceriyi kazandırmak ve temel konuların ele alınması için planlanmıştır. Bu programı sadece seçilen kişilerden isteyenler almalıdır.

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Eğitim İçeriği:

Seçmeli Ders Programı (Yaklaşık 30 Saat)

• Algorithm
• Flow Charts
• Variables and Data Types
• Operators, Loops and Arrays
• Methods and Software Development Process

Basic Statistics

• Measures of Central Tendancy
• Measures of Variability
• Basic graphs (Histograms, Boxplots, Bar Charts)
• Correlation

Basic Python

• Jupyter Notebook ve Markdown
• Python basics, libraries and work environments
• Data Structure
• Loops and Functions
• Lists
• Conditions
• Object Oriented Programing (OOP) - Basic Level
• Importing, Tidying & Cleaning Data

Bootcamp Ders Programı:

Business Understanding

• Business Goal Declaration
• Expected Value Framework (EVF)
• Business Strategy Declaration

Data Understanding

• Data Preprocessing
• Variable Type and Data Structure Consistency
• Building The Target Variable (Regression Or Classification)

Data Analysis

• Preparatory Data Analysis (Pda)
• Exploratory Data Analysis (Eda)
• Confirmatory Data Analysis (Cda)

Reading data with API and SQL

Modelling

• Data Transformation and Encoding
• Metric, Baseline and Estimator/Classifier Selection
• Estimator/Classifier Selection
• Model Selection (Hyperparameter Tuning)

Evaluation

• Using Expected Value To Frame Model Evaluation

Deployment

• Optimization
• Micro-service Construction

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Bilinmesi Gerekenler:

Öğrencilerimiz tarafından dikkat edilmesi gereken kurallar bütünü: Code Of Conduct

Bootcamp esnasında kullanılan Github Classroom: XXX