Java for Data Scientists Training – Java Tutorial for Data Science
Learn how to use Java for two components of data science-data engineering and data analysis. Instead of poring over every aspect of Java, instructor Charles Kelly focuses on a selection of valuable topics that will help you learn how to use 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 the 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 you’ve learned in the course to create magic squares and sudoku puzzles.
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Language of instruction: English
Teacher: Charles Kelly
Level of training: Secondary
Teaching time: 2 hours + 43 minutes
File size: 386 MB
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