"Do you need to code for a career in data?" is a question that produces 1.69 billion search results on Google, but the answer depends on various factors such as career goals, industry, and personal preferences. Coding skills are essential for managing and querying relational database management systems, running analysis, and developing custom tools, applications, and workflows tailored to specific needs. However, with the rise of no-code technologies, some tasks can be automated without coding, and AI is set to play a significant role in geospatial data analysis, potentially reducing the need for coding skills. To navigate this landscape, it's recommended to learn the fundamentals of coding languages such as Python, R, JavaScript, and HTML, master what's relevant to your interests and career goals, and stay agile by updating your skills to adapt to changing industry trends. The "big 5" GIS coding languages - Structured Programming Language, Python, R, JavaScript, and HTML - are essential for geospatial professionals, but knowing their functions is key, even if you don't plan on writing code. With the right approach and skills, you can thrive in a career that involves data analysis and science, regardless of whether you choose to code or not.