Basic Data Analysis with Java

Basic Data Analysis with Java

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 3 Hours | 875 MB

Analyze your data with ease and efficiency and modify applications that perform Data Analysis

Data analysis is a process for inspecting, consolidating, transforming, and making sense of data in a way that guides the decision-making process. Effective data analysis is about transferring data through three main states: data, information, and knowledge. This matters because people become overwhelmed by large amounts of data, and make much better decisions on information at hand. Data analysis helps convert data into information, whether the consumer of this information is a person or machine-learning algorithm.

This video course starts by showing you the various techniques of pre-processing your data. You will then get well-versed with the basics of data analysis with Java, how data changes state, and how Java fits into the analysis. You will then learn to apply the basic analysis to your business needs and create time-series predictions. Finally, you will see how to implement statistical data analysis techniques using Java APIs. You will also use JDBC to connect Java to SQL and MySQL databases. At the end of the video course, you will also see how to work with NoSQL databases.

What You Will Learn

  • Get familiar with various data pre-processing techniques
  • Get to know the basics of data analysis and explore how data changes state
  • Implement statistical data analysis techniques using Java APIs
  • Use JDBC to connect Java to SQL and MySQL databases
  • Work with NoSQL databases
Table of Contents

01 The Course Overview
02 The Purpose of Data Analysis
03 Surveying Data Types and Data Structures
04 Data Sets and File Formats
05 Generating Test Data
06 Pre-processing Data Sets
07 Types of Data Analysis Problems
08 Java Components
09 Business Intelligence
10 Time Series Predictions
11 Descriptive Statistics
12 Random Sampling
13 Elementary Probability
14 Bayes’ Theorem
15 Tables and Databases
16 MySQL
17 Code Using JDBC or JPA
18 SQL Versus NoSQL Database Systems
19 XML and JSON Data Formats
20 Data Conversion
21 Selection
22 Subsetting
23 DateTime APIs in JDK 8