Java for Data Scientists Essential Training
Size: 448 MB | Duration: 2h 44m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Learn how to use Java for two components of data science—data engineering and data analysis. Instead of poring over every facet of Java, instructor Charles Kelly focuses on a selection of valuable topics that will help you learn how to leverage Java in your data science career.

This course revolves around the ingest, model, query, analyze, and visualize (IMQAV) model, which is a framework for data science workflows. Charles goes over test-driven development and object-oriented design. Using the free community edition of IntelliJ from JetBrains, he presents Java examples including Java classes, methods, operations, and libraries. Plus, Charles shares how to apply the skills that you learned in the course to create magic squares and sudoku puzzles.

Topics include:
* The IMQAV model
* Downloading software
* Installing and setting up a Java coding environment
* Mock tests
* Code coverage
* Using windows, views, and modes in IntelliJ IDEA
* Creating classes and attributes
* Creating constructors
* Casting variables
* Matching literals with regular expressions
* Libraries
* Regular expressions
* Design patterns