Statistics & Probability

Become a Java EE 7 Developer

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Java EE is a powerful platform for building enterprise-scale Java applications.Get the skills to work with both client- and server-side technologies as a Java EE developer. This path requires knowledge of Java and object-oriented programming, covered in the Become a Java Programmer learning path.Build dynamic applications that pass data from client to server.Work with data by building and consuming RESTful APIs.Deploy your applications to the cloud.

Java Essential Training: Syntax and Structure

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Get started with Java, the popular object-oriented programming language. Learn about basic Java syntax and the Java platform's fundamental architecture.Get started with Java, the popular object-oriented programming language. In this course—the first installment in the Java Essential Training series—start exploring this essential language, and learn about basic Java syntax and the Java platform's fundamental architecture. Instructor David Gassner goes over the history of the language, providing coverage of its principles, components, and syntax. David explains how to install Java on Windows and macOS, and how to create a project in IntelliJ IDEA. He also demonstrates how to work with primitive variables, create and parse String values, and manage program flow—including how to create reusable code.

Advanced Java Programming

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Expand your programming skills and learn how to get more out of the Java language and platform. Discover how to leverage some of the language’s more advanced features.Want to get more out of the Java language and platform? In this platform- and framework-neutral course, instructor Bethan Palmer digs into some of the language’s more advanced features, helping you expand your programming skills as she equips you with techniques you can use when building applications anywhere Java is used: in web, mobile, and desktop applications. Bethan covers a variety of topics, including generics, working with the Collections Framework, and functional programming. Plus, learn about I/O in Java, working with files and directories, and structuring applications using the modular system available in Java.

Microeconomics: Theory and Applications

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Microeconomics: Theory and Applications presents all the standard topics of traditional microeconomic theory. It covers the basic concepts of Modeling Microeconomics, Application: Market Equilibrium, Consumer Equilibrium, Demand function , Consumer Behaviour Applications and Case Study: Market Analysis.  INTENDED AUDIENCE : Students of Economics, Commerce, or Management degree programs.PRE-REQUISITES : Knowledge of Calculus (High school level) and Microsoft Excel.INDUSTRY SUPPORT : Any industry that would like to educate their staff on basics of Economics.

Advance Your Spring Developer Skills

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Take your Spring development to the next level. Adopt the latest best practices in cloud-native development, solve common problems with design patterns, and build full-stack apps with React.Note: This path is designed for intermediate Spring developers and those who have completed the Become a Spring Developer learning path.Learn to securely send and receive messages at scale.Build cloud-native apps with Spring Cloud.Solve problems more efficiently with design patterns.

Learning Java

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Get started in Java programming. This course shows beginners how to write Java code and build simple Java applications.

Java: XML Integration

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Learn how to create and parse XML with a variety of Java APIs and libraries, including DOM, SAX, JAXB, and more.Learn how to choose the right Java API for your application and get started coding with XML and Java. In this course, author David Gassner shows you how to read and create XML strings and files, decide whether to use a streaming or tree-based API, and find out which APIs are compatible with Android. Plus, discover how to use both standard APIs that are included with the Java SE and EE distributions, such as DOM, SAX, and JAXB, and learn about popular open-source libraries such as JDOM and the Simple XML Serialization framework.

Spring: Spring Data 2

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Easily implement JPA-based repositories using Spring Data JPA. Learn about the Spring Data Commons JPA for object-relational mapping, querying with Spring Data, and more.Coding to databases—which often involves the use of boilerplate code that's difficult to maintain and debug—can be tedious work. Upgrading applications to a different kind of data storage is similarly challenging, as it usually involves massive code rewrites. Spring Data addresses these issues by abstracting data store interactions into a common repository API and eliminating boilerplate code.In this course, learn how to easily implement JPA-based repositories using Spring Data JPA. Mary Ellen Bowman describes the Spring Data umbrella project, and helps you understand JPA for object-relational mapping. She also covers querying, and dives into other Spring Data Commons features such as QueryDSL and auditing.

Statistics Foundations: The Basics

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Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

Object-Oriented Programming with Java

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Learn advanced concepts in Java. Leverage inheritance, polymorphism, and encapsulation to build more sophisticated and efficient web projects.It’s not too hard to write functional code in Java. But to take advantage of its object-oriented features, it requires a leap in understanding. If you're ready to take your Java skills to the next level, join engineer and Java expert June Clark in this course. Brush up on the details of objects, and then how to leverage advanced concepts such as inheritance, polymorphism, and encapsulation to build more sophisticated and efficient web projects. June reviews getters and setters and static methods, and shows how to document your code with UML. By the end of this course, you’ll have the confidence and skills to go build great things with Java.This course was created by Madecraft. We are pleased to host this content in our library.

Learning Java Lambda Expressions

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Learn how to use lambda expressions as anonymous inner classes, and use lambda expressions with collections, streams, and maps, in these Java programming tutorials.A lambda expression is a clear and concise way to represent a one method interface.Lambda expressions can be used as method arguments or to iterate, filter, and extract data from a collection. This course explores Oracle's Java 8 specification for lambda expressions, and the syntax and use cases for using lambdas with collections, streams, and maps. Staff instructor and Java expert Peggy Fisher also introduces techniques for programming functional interfaces in Java.

Build Your Analytical Skills with Statistical Analysis

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Understand topics at a deeper level by learning about statistics. Master the terms, formulas, and techniques needed to perform the most common types of statistics. Explore probability and ways to calculate future outcomes and understand past events.Explore basic statistics.Identify how to interpret charts and graphs.Determine the likelihood of events using probability.

Spring 5.0 and Spring Boot 2.0 New Features

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Learn what's new in Spring 5.0 and Spring Boot 2.0, including reactive Spring and Spring Actuator.The Spring developers are always listening to feedback and feature requests. They have responded with Spring 5, a version that's packed with exciting new enhancements. This course gets you up to speed with the latest and greatest in Spring Framework 5.0 and Spring Boot 2.0, including reactive Spring and Spring Actuator. Instructor Frank Moley covers the new support structure for Java 8 and Java EE 7, and explains which packages, classes, and methods have been removed. Next, learn about the changes to Servlet 3 and 4, data binding for immutable objects, and the spring-web-reactive module for reactive programming. Then explore the integration for Junit Jupiter, parallel test execution, and mock environments. Finally, review the changes in Spring Boot, including third-party library upgrades and Spring Boot Actuator for monitoring the health of production applications.

Introduction To Statistical Mechanics

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This is an introductory course in classical and quantum statistical mechanics which deals with the principle of ensembles, Classical, Fermi and Bose ideal gases, Pauli paramagnestim, Debye and Einstein’s theory of specific heat and the 1D Ising model.INTENDED AUDIENCE: M.Sc. and beginning Ph.D. students and other interested individualsPREREQUISITES: Thermodynamics, Classical mechanics, Quantum mechanics

Statistics for Business Economics

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The present course has been specially designed for the students studying in the subject of Business Economy at CBCS undergraduate level. The course will cover the essential aspects of statistics useful in Business economics viz: correlation and regression, probability and distributions, sampling and testing of hypothesis, and index numbers. The course will mainly emphasize the different statistical methods. By studying this course students will taught how the problem of business economics can be handled using the methods of statistics. Many economic problems required use of statistical distributions and testing of hypothesis of the parameters involved to solve them. The course will emphasize especially the modern techniques along with their significance in the area of business economics.Objective of CourseThe structure of the present course on statistics for business economics has been designed with the perspective of achieving following major objectives: • To provide a glimpse of descriptive measures to the students. • To impart knowledge regarding the development of linear relationship between the two correlated variables to the students. • To develop detailed understanding of discrete and continuous distributions. • To adequate the students with concepts of sampling theory and how to draw sample from the given population to estimate the parameters of the population. • To give adequate information to the students regarding the testing of hypothesis such that how various types of tests can be utilized under different situations? • To make the students aware about the various types of index numbers and their constructions.