Teach me what is Data Science
Welcome! I am so excited to explore the world of data science with you. Before we dive into what data science is and map out our journey, I would love to learn a little bit about you so I can customize our sessions to fit your background.
To help me tailor our sessions, could you tell me why you're interested in learning about Data Science, and do you have any previous experience with programming or statistics?
I'm a complete beginner with no background in math or coding!
No math or coding background is required at all. We are going to start completely from scratch, and I will make sure everything we cover is easy to grasp.
Since we are ready to begin our journey, let's take a quick look at the road ahead so you know exactly what to expect.
The Interdisciplinary Detective
- Mathematics and Statistics: The tools we use to find true patterns and make sure we aren't just seeing random coincidences.
- Computer Science: The programming tools we use to organize, sort, and process massive piles of information that are too big for a human to read alone.
- Domain Knowledge: Understanding the specific "real-world" area you are investigating—like medicine, sports, or business—so you actually know what questions to ask and what the clues mean.
Core skills and tools
The Dynamic Duo of Data
- Python is the world's favorite general-purpose language. It is incredibly popular because it is written in plain, simple English, making it very easy for beginners to read and write. In the data world, Python is the ultimate multi-tool. It can clean up messy data, power websites, and even build advanced artificial intelligence.
- R is a language built by statisticians, specifically for statisticians. Think of it as a specialized laboratory. If you need to perform deep, academic statistical analysis or create beautiful, highly customized scientific charts, R is the go-to tool.
Continue to learning about querying databases with SQL