Do you think that is possible?

Of course.!! I think Python is an excellent choice for learning data analysis, regardless of your age. Python is known for its simplicity and readability, making it a great language for beginners. It also has a rich ecosystem of libraries and tools for data analysis and scientific computing, such as NumPy, pandas, Matplotlib, and more. These libraries make it easier to work with data, perform analysis, and create visualizations. Once you're comfortable with Python basics, dive into data analysis libraries like pandas and NumPy. These libraries are essential for working with data efficiently. There are many online courses and tutorials specifically designed for learning Python for data analysis. Platforms like Coursera, edX, and DataCamp offer comprehensive courses. practice is key to mastering Python and data analysis. Work on projects, analyze real-world datasets, and solve problems to reinforce your skills. Remember, it's never too late to learn something new, and data analysis is a valuable skill in today's data-driven world. With dedication and consistent effort, you can certainly become proficient in Python for data analysis and pursue a rewarding career in this field.