by Erik Costlow | Released August 2017 | ISBN: 9781788392631

Analyze your data with ease and efficiency and modify applications that perform Data AnalysisAbout This VideoThis comprehensive video tutorial ensures you get your basics on point to perform data analysis with JavaGet to know the statistical data analysis techniques and implement them using the popular Java APIs and librariesLearn to work with relational, NoSQL, and time-series dataIn DetailData 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. Show and hide more

1. Chapter 1 : Data Pre-processing
   • The Course Overview 00:02:03
   • The Purpose of Data Analysis 00:09:39
   • Surveying Data Types and Data Structures 00:07:01
   • Data Sets and File Formats 00:09:15
   • Generating Test Data 00:07:13
   • Pre-processing Data Sets 00:06:40
2. Chapter 2 : Basic Data Analysis
   • Types of Data Analysis Problems 00:07:41
   • Java Components 00:06:52
3. Chapter 3 : Applying Basic Analysis
   • Business Intelligence 00:07:01
   • Time Series Predictions 00:10:02
4. Chapter 4 : Implementing Statistical Data Analysis Techniques Using Java APIs
   • Descriptive Statistics 00:06:07
   • Random Sampling 00:07:27
   • Elementary Probability 00:07:07
   • Bayes’ Theorem 00:09:38
5. Chapter 5 : Using JDBC to Access SQL and MySQL Databases
   • Tables and Databases 00:09:35
   • MySQL 00:06:11
   • Code Using JDBC or JPA 00:10:14
6. Chapter 6 : Working with NoSQL Databases
   • SQL Versus NoSQL Database Systems 00:05:55
   • XML and JSON Data Formats 00:07:29
   • Data Conversion 00:08:28
   • Selection 00:06:58
   • Subsetting 00:06:32
   • DateTime APIs in JDK 8 00:06:46
   • Resampling 00:09:57
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