Data Science for Business: A Hands-On Intro to Analytics

A beginner-friendly, hands-on workshop that equips participants with no programming background with essential data science concepts and practical skills using RStudio and Python to analyze real-world business and economic data and support evidence-based decision-making.

This workshop introduces participants with no prior programming background to the essential concepts, tools, and applications of data science within business and economic contexts. The purpose of the workshop is to equip beginners with practical analytical skills using R-Studio and Python, enabling them to understand, analyze, and interpret real-world data to support evidence-based decision-making. The workshop covers key themes including exploratory data analysis (EDA), data visualization, model development and evaluation, time series forecasting, supervised and unsupervised machine learning, portfolio and resource allocation optimization, and the basics of algorithmic decision-making. Emphasis is placed on applications to economic policy, market analysis, consumer behavior, and business performance. This workshop aligns with emerging trends in data-driven management and the increasing need across industries for professionals who can translate data into actionable insights. As organizations rely heavily on analytical tools to forecast trends, automate decisions, and design effective strategies, the ability to understand data science fundamentals has become essential—not only for analysts but also for managers, economists, and business practitioners. By offering a beginner-friendly, hands-on learning experience, this workshop provides participants with valuable skills, practical exposure to industry-standard tools, and a strong foundation for further study or professional development in data-driven business and economic analysis.