Final answer:
Software engineers focus on creating software and applications, ensuring functionality and system control, whereas data scientists use coding primarily for data analysis, building predictive models, and extracting insights.
Step-by-step explanation:
The question concerns the different ways in which software engineers and data scientists use code in their respective fields. Software engineers use code primarily to create software and applications, focusing on issues like functionality, scalability, and efficiency. They design the instruction sets that control systems and devices we interact with every day, often working for companies like Microsoft, Apple, and Hewlett Packard. On the other hand, data scientists use code as a tool to analyze and interpret complex data, build predictive models, and derive insights that can influence decision-making. They apply their coding skills to manipulate data sets and create algorithms that can learn from and make predictions on data. So, while both professions require coding expertise, they apply their skills to different ends—software engineers to build and maintain software systems, and data scientists to extract knowledge and insights from data