Jong-seon Lee, Institute of Engineering Statistics
Companies often face a dilemma when choosing between commercial statistical software and Python for their analytical needs. However, combining these two tools can greatly enhance their statistical analysis capabilities. Commercial software offers user-friendly interfaces and specialized features, while Python provides flexibility and customization options. By leveraging both, companies can access a broader range of statistical methods and techniques. This collaborative approach not only improves analytical skills but also allows organizations to adapt to evolving data analysis requirements, ultimately leading to more informed decision-making and increased competitiveness in data-driven industries.