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During the winter semester 2018/2019 (from November 2018 to January 2019) I lectured at the course "Introduction to Statistics in R" at the Faculty of Philosophy, University of Novi Sad, Serbia. On this page you can find codes used at the course, contact me for handouts, presentations and data sets.
Scalable and efficient LCH CDS pricing data scraper with Docker support, enabling streamlined ETL processes to MSSQL database. Designed for robust performance with advanced error handling.
The Data Science Internship repository is designed to provide hands-on experience with real-world data science projects. It includes a variety of projects focused on key aspects of data science such as data cleaning, exploratory data analysis, data visualization, feature engineering, and machine learning.
This module covers techniques to optimize query execution, such as creating indexes, and query planning, that improve performance. It will also introduce tools and techniques for terminating inefficient queries that are consuming our database resources.