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Importing Data in Java

IntermediateSkill Level
4.7+
37 reviews
Updated 01/2026
Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.
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JavaProgramming3 hr11 videos38 Exercises3,250 XPStatement of Accomplishment

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Course Description

Ever wondered how applications seamlessly process data from various sources? This course takes you from basic I/O concepts to working with real-world data formats using the Tablesaw library. You’ll handle CSV files, manipulate tabular data structures, and transform complex JSON. Through hands-on exercises, you’ll develop practical skills in importing, validating, and transforming data for modern software applications.

Prerequisites

Input/Output and Streams in Java
1

Introduction to Data Management in Java

Kickstart your journey into data handling with Java! In this first chapter, you'll learn how to read, validate, and manage data using Java I/O Streams and then dive into the powerful Tablesaw library to easily create, explore, and manipulate data tables, the perfect foundation for modern data analysis in Java.
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2

Working with Tablesaw Fundamentals

In this second chapter, we will move on to covering CSV processing in Tablesaw. Initially, you will learn to read and write CSV files with varying formats, and then we move on to modifying tables, adding and removing columns, filtering tables and manipulating the data within tables for data cleaning and processing.
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3

Advanced Data Processing with Tablesaw

Complete your Java data journey by mastering transformation patterns that allow you to modify columns, process rows, and summarize datasets into meaningful insights. You’ll also work with JSON data, from simple files to complex, nested structures - preparing you to handle modern APIs and configuration files.
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Importing Data in Java
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*4.7
from 37 reviews
78%
22%
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0%
0%
  • Wilson
    3 days ago

  • Nestor
    4 days ago

  • Bernardino
    last week

  • Sergii
    2 weeks ago

  • Артем
    2 weeks ago

  • Christopher
    2 weeks ago

Wilson

Nestor

Bernardino

FAQs

Who is this course for?

This course is designed for Data Analysts, Data Scientists, and Data Engineers who want to expand their toolkit beyond Python. If you work with large-scale data pipelines or enterprise systems built in Java, this course helps you perform analysis without switching languages.

What will I be able to do after completing this course?

You will be able to read and write CSV and JSON files, filter and transform datasets, perform aggregations, and handle complex nested data structures.

What prerequisites do I need?

Basic Java knowledge is required, including variables, loops, methods, and classes. You do not need prior experience with data processing libraries.

Why do Data Engineers benefit from Java data processing skills?

Data pipelines are often written in Java or C for performance reasons. Knowing how to quickly explore and validate data in Java means you can debug and analyze within the pipeline environment instead of extracting data to a separate tool.

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