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.
About the author
Erik Costlow was the principal product manager for Oracle’s launch of Java 8. His background is in software security analysis, dealing with the security issues that rose to the surface within Java 6 and Java 7. While working on the JDK, Erik applied different data analysis techniques to identify and mitigate ways that threats could propagate through the overall Java platform and overlying applications.
The aim of this video is to discuss about the purpose of data analysis or what problems can be solved using data analysis
The aim of this video is to talk about surveying data types and data structures
The aim of this video is to cover how to get the data out of a particular format
The aim of this video is to generate test data
This video talks about the pre-processing of data sets
The aim of this video is to talk about the types of data analysis problems
The aim of this video is to learn about the Java Components, specifically Lambda and Streams API introduced within Java 8
The aim of this video is to deal with Business Intelligence. It will use Apache POI for creating and reading spreadsheets, as well as show what users will do in MS Excel
The aim of this video is to talk about the role of time specific predictions
This video talks about descriptive analysis which is a part of the statistical toolbox, and gives you an understanding of the overall data you are looking at
The aim of this video is to go through random sampling and analyze the subset of data
This video talks about the elementary probability and how to perform some basic statistical calculations
The aim of this video is to talk about the Bayes’ theorem which is the statistical way of evaluating the connection between events
The aim of this video is to talk about the SQL and NoSQL database systems and do a little bit of compare and contrast
The aim of this video is to discuss about XML and JSON formats and how to deal with each of them.
The aim of this video is to cover data conversion in detail
The aim of this video is to talk about the selection of NoSQL databases
The aim of this video is to discuss about data subsetting and how to deal with large data sets in the program
The aim of this video is to talk about JDK 8 and how they pertain to NoSQL
The aim of this video is to discuss about resampling and how to look at the smaller subsets of data
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