Gain proficiency in programming languages
Data scientists should be proficient in programming languages such as Python or R, which are widely used for data manipulation, analysis, and machine learning. Familiarize yourself with libraries and frameworks commonly used in data science, such as NumPy, pandas, scikit-learn, and TensorFlow.