Switching from computer vision to data science involves building expertise in analyzing structured data. Learn tools like Pandas, SQL, and Scikit-learn for data wrangling and machine learning.
Explore key concepts like data visualization (using Matplotlib or Seaborn), feature engineering, and statistical analysis. Projects in domains like finance, healthcare, or marketing can showcase your adaptability.
Highlight transferable skills, such as programming, machine learning, and problem-solving, on your resume. Certification courses or a specialized master’s degree can further bridge the gap between the fields.