Learning data analysis is not mandatory for computer vision but is highly beneficial. Computer vision involves working with large datasets, and understanding data distribution, cleaning, and preprocessing can improve model performance.
Skills in data analysis can help you visualize image data, identify biases, and evaluate model outputs effectively. For instance, analyzing class imbalances in a dataset can guide decisions like using data augmentation to improve accuracy.
While deep learning automates many aspects of feature extraction, foundational knowledge of data analysis enhances your ability to troubleshoot issues and optimize results in computer vision projects.