Computer Science Classes Virginia Beach, VA

Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. After completing this certificate, students will be able to apply for the following roles: Python Developer, Back End Developer, Software Engineer, and many more.

Get to know one of the most widely-used programming languages in the world at this 5-day Java bootcamp. Students get started with Java and use it to learn essential computer science principles such as object-oriented programming, solving programming problems, developing algorithms, understanding recursion, and working with data structures. This bootcamp prepares participants to take the Java SE 11 Programmer 1 Exam.

Become a JavaScript Developer with this immersive certificate program. Learn object-oriented programming (OOP), create APIs, and learn popular frameworks and libraries to build functional and responsive websites. Over the course of this class, you'll learn fundamentals for JavaScript programming, front-end development with ReactJS and React Native, and back-end development with Node.js and Express.js. You'll also harness the power of MongoDB to organize and store your data. This class includes one-on-one mentoring and portfolio development to prepare you for a career after graduation.

Java Programming course starts by covering essential skills such as understanding different data types, control statements, and debugging code. It also teaches you object oriented programming concepts like working with classes, objects, and using interfaces. Finally, it covers advanced skills like database programming with SQLite.

In this 2-day introductory Python course, participants will learn the fundamentals of Python programming. This hands-on course will give students with no prior Python experience the foundational programming skills needed to continue learning Python’s applications in data science or web development. Topics include Python environment setup, programming concepts, Python syntax, and more. This course offers flexible scheduling options and provides a free retake for students to refresh the material.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Ruby Programming course teaches you how to work with different types of data, modules, and expressions. Afterwards, it introduces more sophisticated packages and advanced features so you can create and deploy your first app in Ruby. Finally, it will cover topics in debugging, testing, and networking.

This 2-day course introduces beginners to Ruby on Rails. This course will teach users how to deploy applications to Heroku, craft persistent models, write automated tests, and set up a server with Capistrano. Intermediate students can also benefit by learning more advanced skills such as metaprogramming and data modeling techniques.

This introductory Python Programming course covers data types, writing functions, mathematical and datetime modules, and string formatting. Once the basics are covered, it dives into flow control such as loops, list comprehensions, enumerations, and is-is not operators. Finally, it takes a look at using virtual environments, command lines, and file processing to execute Python files.

Advanced Python Programming covers lambda functions, mapping & filtering, sorting, and advanced topics such as mutable and immutable built-in objects. This course also introduces topics such as inheritance, attributes, methods, and properties. You'll apply what you've learnt by using an API to get data from a website, saving it into a CSV, and cleaning it up using Python.

JavaScript Basics course starts off by teaching you the basics: syntax, how to access elements, dot notations, methods, and properties. It also covers variables, arrays, and different types of operators. Once basics are covered, it moves on to programming logic such as for/while loops and other conditionals. Finally, you get to apply your JavaScript knowledge by embedding it into HTML/CSS documents to create dynamic and functional websites.

Explore some basic and advanced Java features and functions in this fast-paced, five-day introductory course. Instruction focuses on object-oriented programming (OOP) with Java. Specific course topics include a Java platform overview, JDK usage, the Eclipse paradigm, writing, adding methods, OOP abstraction, inheritance, and polymorphism, language statements, information strings, subclass specialization, arrays, visibility, exceptions, utilities, generic and Lambda expressions, collections, streams, Jigsaw systems, and resource management.

Master advanced Java aspects in this four-day intermediate course. The intense curriculum focuses on Java SE 8 programming. Specific course topics include using Lambda expressions, working with information streams and data collections, evolving interfaces, implementing Java updates, mastering best practices, effective Java utilization, managing exceptions, using Contexts and Dependency Injection (CDI), Java API for WebSocket, Java Bean validation, and Java I/O.

Learn how to fully leverage MySQL Workbench without writing code in this four-day workshop. Utilizing best practices, students complete individual and group projects in areas like reverse engineering, database modeling, and interaction. Specific topics include installation and configuration, connection management, schemata definitions, relationship management, routines, SQL scripts, database synchronization, notes, tables, import/export, and security.

Explore some Python programming basics in this three-day, beginner-level course. Participants learn how to write professional-grade programs that optimize workflow and empower decision makers. Specific course topics include a Python overview, linguistic basics, sophisticated operations and types, control structures, information statements, functions, classes, and modules.

Learn Python basics like functions, unit testing, and features in this four-day introductory course. Participants learn how to use this simple yet powerful programming language to solve everyday problems. Specific course topics include a Python introduction, syntax basics, types, collections, functions, classes, error messages, I/O files, Pyramid web applications, Python iterations, NoSQL, ORM, and Mongo databases, redistributables, and debugging procedures.

This four-day, intermediate level Python class focuses on enterprise-level problems and solutions. Participants acquire these skills through a 50-50 combination of hands-on learning and live instruction. Specific course topics include a Python refresher, essential OS skills, binary data, dates and times, functions, packages, models, metaprogramming, development, testing, database architecture, network programming, multiprogramming, data serialization, advanced data handling, and information scripting.

Self-taught users and programming novices acquire more solid Python skills in this five-day introductory course. The intense curriculum moves quickly from Python basics to some advanced features. Specific course topics include a Python overview, the programming work environment, controlling flows, managing arrays, working with sets, dictionaries, and files, functions, data sorting, handling exceptions, using packages and models, classes, expressions, libraries, times, dates, file systems, advanced data management, network programming, and real-world writing skills.

Combine Python scripting skills with security analysis tools in this five-day intermediate course. Participants learn to build robust scripts that add value to their organizations. Specific course topics include object and numeric types, data strings, Python statements, dictionaries, prints, expressions, assignments, and risks, conditional statements, syntax rules, functions, classes, models, and repetitive statements.

Leverage Python’s functionality in a variety of security-related tasks during this four-day advanced course. Data security professionals learn how to create robust Python-based programs that optimize workflow and give decisionmakers additional peace of mind. Specific course topics include a Python overview, flow control, working with sequences, files, sets, functions, and dictionaries, data functions and sorting, dealing with exceptions and errors, data packages, modules, classes, and expressions, file systems, network services, file analysis, security filters, and packet analytics.