Computer Science Bootcamps Near Me

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.

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.

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.

Build dynamic websites and applications with React and React Native. In this 60-hour bootcamp, you'll develop several fully-functioning apps. You'll start by learning how to compose components and deploy a React project to a server, then move to more advanced React Native development and API integration. By the time you complete the course, you'll have acquired core skills for a career as a Front End Developer. The React Bootcamp allows students who already know the fundamentals of JavaScript programming and basic HTML & CSS to take their skills to the next level.

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.

Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling. 

This course provides an introduction to the use of Python programming language for data analysis. Python, through the use of list and string manipulation, control structures, and data analysis packages, can be used to manage and analyze large sets of data. In this course, you will learn how to use Scipy, Numpy, Pandas, Seaborn and matplotlib to analyze data and create visualizations. This course has 4 units, covering list manipulation, strings and simple I/O, control structures and data analysis packages. IPython notebook is also used to show how codes and change codes are used during class.

This 1-week data analytics 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 critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.