Guide to Data Science: Processes, Tools, Applications, and Future Trends

Ravendracroma07 Jun, 2025Education

Data science involves collecting, processing, analyzing, and interpreting large datasets to extract valuable insights. It uses tools like Python, R, and SQL. Applications span healthcare, finance, marketing, and more. With AI and machine learning advancements, the future of data science promises smarter automation, better predictions, and more ethical data practices.