Intro to Python for Data Science

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

Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science. In our Intro to Python class, you will learn about powerful ways to store and manipulate data as well as cool data science tools to start your own analyses.  Topics covered include:  Python basics, Python lists, functions and packages, and NumPy, an array package for Python.

Authoring Person(s) Name: 
Filip Schouwenaars
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 coding
Data sharing
Data usage
Data visuallization
Interoperable data - FAIR Data Principle
Python
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Physical Sciences and Mathematics: Statistics and Probability
Publisher - organization credited with publishing or broadcasting the learning resource: 
DataCamp
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.
Contact Person(s): 
Filip Schouwenaars
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
Software engineer
Early-career research scientist
Graduate student
Undergraduate student
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)