Getting Started With Data Science: Making Sense... -

This is the "science" part. You need enough stats to know if your results are a real trend or just a random fluke. 3. The Workflow (The "Data Pipeline")

Before touching a line of code, you need a problem to solve. Data science isn't about the tools; it’s about . Whether you’re curious about why customers churn or how to predict sports scores, starting with a specific question keeps you from getting overwhelmed by the sheer volume of data available. 2. The Toolkit: The Big Three Getting Started with Data Science: Making Sense...

Python is the "Swiss Army Knife" of data science—it's easy to read and has massive community support. This is the "science" part

Data science can feel like a labyrinth of math, code, and jargon. But at its core, it’s just the art of and using data to find the answers. The Workflow (The "Data Pipeline") Before touching a

Explaining your findings to people who don't speak data. 4. Making it "Sense"

Data lives in databases. SQL is the language you use to go in and get exactly what you need.