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.

Understanding Data Import Fundamentals

Creating basic file readers

Implementing data validation

Java I/O Streams overview

Reading files with BufferedReader

Writing files with BufferedWriter

Stream chaining

Introduction to Tablesaw

Creating a table

Exploring table metadata

Modifying table structure

Introduction to Data Management in Java

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.

CSV processing with Tablesaw

Reading CSV files

Handling CSV parsing options

Writing formatted CSV files

Data structures in Tablesaw

Working with column types

Table filtering

Table queries

Data manipulation and analysis

Initial data exploration

Department analysis

Advanced Data Manipulation Techniques

Data cleaning and enhancement

Advanced filtering and analysis

Working with Tablesaw Fundamentals

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.

Data Transformation Patterns

Employee salary analysis

Total compensation calculator

Department summary statistics

JSON Data Basics with Tablesaw

Loading JSON files

JSON data analysis

JSON validation

Complex JSON Processing

Importing nested data

Merging nested data

Handling missing JSON values

Congratulations!

Advanced Data Processing with Tablesaw

products.json

products.csv

students.csv

employees.csv

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.

Input/Output and Streams in Java

Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

Importing Data in Java

VP Quant Developer

Complex JSON processing

Complex JSON data

Nested JSON objects

JSON flattening

JsonReader configuration

Joining tables

Let's practice!

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Advanced Data Processing with Tablesaw - Complex JSON Processing

Complex JSON Processing

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