Читать книгу Data Science For Dummies - Lillian Pierson - Страница 17

Coding is unavoidable when you’re working in data science. You need to be able to write code so that you can instruct the computer in how to manipulate, analyze, and visualize your data. Programming languages such as Python and R are important for writing scripts for data manipulation, analysis, and visualization. SQL, on the other hand, is useful for data querying. Finally, the JavaScript library D3.js is often required for making cool, custom, and interactive web-based data visualizations.

Although coding is a requirement for data science, it doesn’t have to be this big, scary thing that people make it out to be. Your coding can be as fancy and complex as you want it to be, but you can also take a rather simple approach. Although these skills are paramount to success, you can pretty easily learn enough coding to practice high-level data science. I’ve dedicated Chapters 6 and 7 to helping you get to know the basics of what’s involved in getting started in Python and R, and querying in SQL (respectively).