Component 1: Introduction to Data Science
What is Data Science?
Data Scientific research is the art and science of extracting insights and expertise from data. At its core, it incorporates mathematics, stats, programming, and domain knowledge to solve real-world problems. Each time you see Netflix advising a movie, Google Maps optimizing your course, or a bank discovering fraud in real-time– that’s Data Science in action.
It’s not nearly taking care of spread sheets or running numbers. Data Science involves:
- Recognizing data (what it represents, exactly how it’s produced).
- Cleansing and processing raw information right into useful form.
- Assessing information to locate hidden patterns.
- Building anticipating versions that help forecast results.
- Communicating outcomes in a way that drives choices.
Simply put: Data Science = Information + Algorithm + Service Comprehending.
Why is Data Science Important?
In the electronic age, organizations generate substantial amounts of data every second. This data is often called the “new oil” because of its value. Nonetheless, raw information is worthless unless it’s processed and recognized– …