Computer Science Classes Virginia

Learn computer science fundamentals with two versatile and powerful programming languages, Java and Python. This 6-week summer course is designed for high school and college students looking to get a head start in programming, or preparing for college-level course work and the AP exam. The certificate program covers everything from programming basics to advanced data science and computer programming concepts. Students also learn Python’s dynamic applications in data science, machine learning, and automation.

This 36-week Foundations of Computer Science and Software Engineering program was designed to teach students the skills they need to launch careers in the fields of computer science and software engineering. This program is split into trimesters and covers a wide range of computer science and programming tools and concepts, including how to work in C and Unix programming, understanding data structures and algorithms, an introduction to higher-level languages like Python, database management and working with SQL, front-end programming, web scraping with JavaScript, and more. Throughout the program, students will also learn important soft skills to enhance their job readiness, with an emphasis around technical writing, collaboration, whiteboarding, as well as the opportunity to participate in mock interviews.

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.

This 4-day Java programming course is designed for programmers who want to transition into the Java language but lack experience in a C-based language. This course covers the fundamental structure and syntax of Java in addition to object-oriented principles and their usage in Java applications. The course also covers input/output streams, exception handling, collections API packages, and more.

This 2-day intermediate Java programming course is a rigorous course designed for programmers who want to improve their skills with the Java API libraries. The course is split into 8 sections. Sections 1-4 cover the general course objectives, best practices around sorting and tuning, getting familiar with inner classes, and an introduction to Swing. Sections 5-8 cover an introduction to JDBC connectivity, JDBC and SQL programming, advanced JDBC, and regular expressions in Java.

This 3-day advanced Java course is structured for students with an intermediate level of Java programming experience and are excited to learn advanced features and packages. This course will teach students about processing XML, multi-thread applications, and advanced I/O capabilities. The course will also introduce students to reflection, networking with sockets, remote method invocation, JNDI, and performance tuning.

This 3-day introductory Python programming course is designed for students with no prior programming experience and are looking to get comfortable with basic skills needed for Python programming. The course will cover foundational Python concepts, including data types, control statements, using functions and modules, handling exceptions and debugging programs, working with lists, and how to work with a variety of data types. By the end of the course, students will be familiar with writing programs for simple applications.

This 2-day advanced Python programming course is designed for students already familiar with Python programming and who are looking to understand more advanced procedures. The course will cover a range of advanced Python concepts, including classes and objects, methods, inheritance, the importance of the Standard Library, working with the OS, advanced comprehensions, as well as testing and debugging programs.

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.

This course on data wrangling with Python offers a 3-day comprehensive introduction. The purpose of this course is to give an immersive foundation that equips students with the most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and MatPlotLib to calculate descriptive statistics, work with alternative data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

This 2-day course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with Numpy Arrays, pandas, and MATPLOTLIB to perform data analysis and create data visualizations. This intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.