Why Learning SQL Is Important if You Want to become a Data Scientist
Although machine learning and artificial intelligence (AI) may be the talk of the tech world, the most crucial skill in the data science sector is really much older—nearly 50 years old! SQL remains the most crucial language for data work, notwithstanding its age. How has a language five decades old remained so relevant in the quickly evolving, ever-changing field of data science? We'll get there, but first, let's address a more important query: Explaining SQL A particular class of computer language known as a structured query language, or SQL, is created to make it easier to interface with databases. The 1970s saw its initial development for use with relational databases. That's still what SQL is used for today, despite extensive updates over the years: querying, updating, modifying, adding, and deleting data in relational databases. (SQL can be pronounced either "sequel" or "SQL " ; both pronunciations are common.) SQL is frequently used in conjunction ...