Data Science

Duration: 40–60 hours (adjustable based on needs)

Training Objective:
This training develops competencies in data analysis and interpretation, including data collection, cleaning, exploratory analysis, and visualization to support decision-making. It focuses on practical use of statistical methods and modern tools for data processing in academic, institutional, and business contexts.

Target Group:
Students, data analysts, IT professionals, institutional staff, managers, and individuals interested in data-driven decision-making.

Main Training Content:

  • Introduction to Data Science and its role in organizations
  • Data collection and cleaning
  • Exploratory analysis and data visualization
  • Statistics fundamentals for Data Science
  • Use of analytical tools for reporting and decision-making

Benefits after Training:

  • Skills for professional data analysis
  • Better evidence-based decision-making
  • Support for scientific research and institutional analysis
  • Solid foundation for advancement in AI and Machine Learning

Apply at: https://forms.office.com/r/vDKFM39t5a