If your primary goal is to make web applications, JavaScript is the language you should focus on learning. JavaScript is essential for front-end web development, where it is used to create interactive and dynamic user interfaces. It is also widely used in back-end web development through technologies like Node.js, allowing you to create complete, full-stack web applications using JavaScript. Additionally, popular JavaScript frameworks and libraries, such as React, Angular, and Vue.js, are commonly used to build modern web applications.

For data science, Python is typically the preferred programming language. Python has a rich ecosystem of data science libraries and tools, such as NumPy, pandas, Matplotlib, and scikit-learn, that make it easy to perform data analysis, manipulation, visualization, and machine learning tasks. Python's simple and readable syntax also makes it a great language for beginners and experienced developers alike. Jupyter Notebooks, a popular tool for data scientists, provides an interactive environment for writing and executing Python code and visualizing data.

Given your interests, it would be beneficial to learn both JavaScript and Python. Start with JavaScript for web application development, and once you are comfortable with it, you can explore Python for data science. By learning both languages, you'll have the skills needed to create interactive web applications that can also leverage data science techniques for data analysis and visualization.
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