Data Science

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computer science, and domain expertise to analyze and interpret complex data sets, enabling data-driven decision-making and predictive modeling.

Also known as: Data Analytics, Data Mining, Big Data Analytics, Predictive Analytics, DS

Why learn Data Science?

Developers should learn Data Science to build intelligent applications, automate data analysis, and create predictive models for industries like finance, healthcare, and marketing. It is essential for roles involving big data, machine learning, and business intelligence, where extracting actionable insights from data drives innovation and competitive advantage.

Learning Resources

• course: Data Science Specialization on Coursera
• course: Introduction to Data Science in Python on Coursera
• tutorial: Data Science Tutorial on Kaggle
• docs: Data Science Documentation on Scikit-learn
• video: Data Science for Beginners on YouTube