How is SQL (pronounced see–kwell) relevant to you as an aspiring data scientist? And what is SQL anyway?
SQL, or Structured Query Language, is a special-purpose programming language for managing data held in relational database management systems. Almost all structured data is stored in such databases, so, if you want to play with data, chances are you’ll want to know some SQL.
Some of what you can do with SQL—data insertion, queries, updating and deleting, schema creation and modification, and data access control—you can also accomplish with R, Python, or even Excel, but writing your own SQL code is more efficient and can yield more easily reproducible scripts. Learning SQL can also give you a leg up on folks transitioning, often with limited database experience, into the data science industry from academia.
Rutgers Data Science Bootcamp
Gain skills needed to analyze data and deliver value to organizations. Complete projects using real data sets from the worlds of finance, healthcare, government, social welfare, and more.
Southern Methodist University
SMU Data Science Boot Camp
Develop concrete, in-demand data skills and learn how to help drive business decisions and solve challenges that companies are facing. No programming experience required.
Northwestern Data Science and Visualization Boot Camp
Northwestern Data Science and Visualization Bootcamp teaches practical and technical skills in 24 intensive weeks. Students apply their knowledge to hands-on projects that translate directly into work in the field.
University of Southern California
USC Viterbi Data Analytics Boot Camp
Expand your skill set and grow as a data analyst. This program covers the specialized skills to be successful in the field of data in 24 weeks.
Resources for learning SQL abound, ranging from text-based to interactive and providing entry points for learners with varying levels of programming and database experience. Here’s a sampling of the online offerings: