Intro to SQL for Data Science

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

The role of a data scientist is to turn raw data into actionable insights. Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Therefore, to be an effective data scientist, you must know how to wrangle and extract data from these databases using a language called SQL (pronounced ess-que-ell, or sequel). This course teaches you everything you need to know to begin working with databases today!

Authoring Person(s) Name: 
Nick Carchedi
Authoring Organization(s) Name: 
DataCamp
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data access
Data access methods
Data management
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Engineering
Medicine and Health Sciences
Physical Sciences and Mathematics
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contributor Name: 
Name: 
Colin Ricardo
Type: 
Collaborator
Name: 
Filip Schouwanaars
Type: 
Collaborator
Contact Person(s): 
Nick Carchedi
Contact Organization(s): 
DataCamp
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Early-career research scientist
Data manager
Data professional
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)