Problem Solving Using Open-Source Languages; R and Python

Novi Sad, Serbia

Date 1 Oct 2024 08:30 - 26 Oct 2024 15:30

Location Novi Sad, Serbia

Host university University of Novi Sad (UNS)

Mode Blended

WP WP 2

Target groups Master students, PhD students, Undergraduate students

Contact person Jelena Lubura Stošić - jelenalubura@uns.ac.rs

Duration Up to 1 month in length

Reference code EUG2_T2_1_0016

Type of event Course

Recognition Transcript of records - ECTS

Language English

Recruitment of participants Qualitative Assessment

Number of open spots 20

Is eligible to international certificate Yes

Evaluation criteria 70% - Motivation 30% - Diversity (including those from different backgrounds, industries, and levels of experience)

The hybrid course is structured as follows:

Introduction to R and Python
Data Manipulation and Visualization
Statistical Analysis and Machine Learning
Final Project

The participants will earn 3 ECTS. The final Project will be completed at University of Novi Sad.

Content and Methodology

In the initial week, participants will acquire introduction to the R and Python programming languages, encompassing the setup of the environment, basic syntax, data types, as well as fundamental data manipulation and analysis.

Moving on to the second week, the learning objectives will revolve around data input/output, employing dplyr in R and pandas in Python for data manipulation, and utilizing ggplot2 in R as well as matplotlib/seaborn in Python for data visualization.

The focus of the third week will shift towards statistical analysis using R and Python, accompanied by an introduction to machine learning. Supervised learning algorithms, including linear regression, logistic regression, decision trees, and random forests, will be introduced.

In the concluding phase, the final project will require students to engage in a practical application of their acquired skills and concepts. This project will involve working with R and/or Python to demonstrate proficiency in the tools and methodologies learned throughout the course.

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Last update 19 Aug 2024 13:21

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