This is 80% of the job. You’ll fix typos, handle missing values, and organize the mess.
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...
Explaining your findings to people who don't speak data. 4. Making it "Sense" This is 80% of the job
The biggest mistake beginners make is treating data science like a math textbook. To truly understand it, you have to handle missing values
You don’t need to be a software engineer, but you do need these fundamentals: