Java for Data Scientists Essential Training

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Created by: Charles Kelly

Produced in 2017

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Course Description

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.

Intermediate Level

Time: 2h 43m

Instructor Details

Charles Kelly

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Charles Kelly is the chief technology officer (CTO) at SAGE, the Simple Application Generator for Eclipse.

SAGE helps generate code for client-server systems, rich client platforms, parallel computation systems, and other user interface components. He has been a lecturer and assistant professor at University of San Diego, and a distinguished professor at Dalien Institute of Technology. In his spare time, he pursues the intersections of software programming and Sudoku. Find out more at charleskelly.com.