Data Science
Interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from both structured and unstructured data.
Key Concepts
Data Wrangling
The process of cleaning, transforming, and enriching raw data.
Data Analysis
The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Data Visualization
The graphical representation of information and data.
Machine Learning
A subfield of AI that is concerned with the development of algorithms that can learn from data.
Detailed Explanation
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining, machine learning and big data.
Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.
Real-World Examples & Use Cases
Fraud Detection
Data science is used to detect fraudulent transactions.
Recommendation Systems
Data science is used to recommend products and services to users.
Healthcare
Data science is used to diagnose diseases and to recommend treatments.