To become proficient in Python for Data Science, individuals should start with foundational Python programming skills, then progress to specialized libraries and tools. Take online courses, engage in hands-on projects, and practice data analysis, machine learning, and data visualization. Continuous learning, real-world projects, and joining Data Science communities further enhance proficiency.
If you are interested in getting into this field, then check out this video about Sravan and how he became an expert in using Python for Data Science with the help of Intellipaat’s Machine Learning Course.
Back