Data science involves extracting insights and knowledge from structured and unstructured data. It encompasses various disciplines such as statistics, machine learning, data mining, and data visualization. Tools and libraries like Python (with libraries like Pandas, NumPy, SciPy), R, and frameworks like TensorFlow and PyTorch are commonly used.
NLP is a field of artificial intelligence concerned with the interaction between computers and humans through natural language. It involves tasks such as text classification, sentiment analysis, language translation, named entity recognition, and more. Python libraries like NLTK, spaCy, and TensorFlow/NLP are commonly used for NLP tasks.