Eğitim İçeriği
Giriş
Algoritmik İşlem Temel Kavramları
- Algoritmik işlem nedir?
- Piyasalar ve işlem
- Metinsel veri ve analiz
Python, R ve Stata
- Hisse senedi işlemleri
- Tahvil işlemleri
- Investment analizi
Geliştirme Ortamının Hazırlanması
- Quandl'ın kurulması
- quantmod'un kurulması
- Stata'nin kurulması ve yapılandırılması
Algoritmik İşlem ve Python
- Veri içe aktarma
- Quandl'ı kullanma
- Finansal verilerle çalışma
- Finansal veriler için veritabanları oluşturma
Algoritmik İşlem ve R
- Veri içe aktarma
- quantmod'u kullanma
- Regresyonlarla çalışma
Algoritmik İşlem ve Stata
- Veri içe aktarma ve temizleme
- Stratejileri test etme
- Regresyonlarla çalışma
Özet ve Sonuç
Kurs İçin Gerekli Önbilgiler
- R deneyimi
- Python deneyim
Hedef Kitle
- Business Analistler
Danışanlarımızın Yorumları (5)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Eğitim - Scaling Data Analysis with Python and Dask
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Eğitim - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Eğitim - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Eğitim - Data Analysis in Python using Pandas and Numpy
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.