Introduction to Data Science
The Front Door of Hummingraph
Data science is the practice of turning raw data into decisions. This section covers what the field actually is, how it connects to AI and machine learning, the workflow a data scientist follows, and the tools and roles involved. It gives you a full picture before diving into the details.
Data vs Information vs Insight
beginnerFrom raw facts to real understanding, and why most analysis stops way too early.
Data Science vs AI vs ML
beginnerThree buzzwords. They're not the same thing. Here's the simple version.
The Data Science Workflow
beginnerThe step by step that turns a vague question into a real answer.
Python for Data Science
beginnerThe one language to rule them all, and the four libraries you'll actually use.
Roles in Data Science
beginnerIt's not just 'data scientist'. Here's who actually does what on a real team.
Types of Data
beginnerNot all data is the same. The type tells you what you can and can't do.
What is Data Science?
beginnerTurning messy numbers into decisions that actually make sense.
What is EDA?
beginnerExploratory Data Analysis. Looking at your data before you break it.