Datamastery.gitlab.io Website Review

This site houses a collection of courses that present concepts and skills necessary for mastering data in computational contexts. The Self-study materials for students lacking prequisite knowledge A short course on computer literacy for anyone, but especially those who want to learn how to manipulate and exploit data with a computer. Topics include basic computer organization, operating system usage (especially command line), text editors, character encoding, distributed computing (from a user perspective), version control systems, static web site creation. A short course on computing and programming principles in Python. This introduction to Python is suitable for someone who has never written computer programs before but is not a replacement for a full semester-long introduction to computing. A short course on computing and programming principles in Scala. This introduction to Scala is suitable for someone who has never written computer programs before but is not a replacement for a full semester-long introduction to computing. Courses offered to Georgia Tech students for academic credit A semester-long study of the acquisition, transformation, storage and presentation of data with an introduction to an*lytics. Topics include graphical UI programming (web and desktop), and data an*lytics using the SciPy stack -- NumPy, Pandas, and Matplotlib. A semester-long study of the acquisition, transformation, storage and presentation of data with an introduction to an*lytics. In addition to big data processing -- distributed storage and computing, machine learning pipelines, etc. A semester-long study of core database concepts and techniques including conceptual entity-relationship data modeling, relational database theory, database design theory through Boyce-Codd Normal Form, Structured Query Language (SQL), database application development, and database implemenmtation concepts such as storage and indexing schemes. Formal non-credit courses tailored to the needs of specific cohorts