Computer Science Classes Near Me

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.

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.

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.

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.

Java Bootcamp is a 12-week full-time program that will get you ready for junior Java developer positions. You'll have to pass an assessment test and complete an online web development course prior to your enrollment. The program will teach you fundamental computer science and programming concepts, Java programming skills, and server side programming. You'll graduate by completing a capstone project where you build a web application from scratch.

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.

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

This 1-week Python Immersive is geared towards beginners with no prior coding experience and meant to give students a fundamental understanding of Python to start coding on their own. Students will learn best practices for coding with Python, work on exercises and programs in Python, and conclude with 2 projects of their own.

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.

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.

In this course, you’ll master the essentials of JavaScript programming to start creating web applications. Students will learn variables, functions, data types, asynchronous JavaScript, and more. This class is for beginners who have HTML and CSS experience but don't necessarily know any JavaScript.

The Java & Cloud Computer Class teaches students about object-oriented programming and cloud computing. More specifically, students learn how to code with Java and use AWS to manage/store app data.

In this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques like scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options plus a free retake for students to refresh the material.

Overall understanding of computer science applications, theory, and programming opens a number of doors. In as little as six weeks, students will be intimately familiar with concepts that may seem foreign now. Interactive exercises and examples breathe life into these admittedly difficult concepts. Students also benefit from hands-on learning in areas like data types, operators and control structures, input/output, procedural and data abstraction, object-oriented software development, recursion, arrays, strings, and pointers. Students use these tools and this knowledge to solve problems in the real world.

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.

Gain fluency in Python — the world's fastest-growing major programming language — and start leveraging its versatile capabilities to build web and data science applications. This course is offered in person and live online, in a remote classroom setting.

This certificate program offers an introduction to Python programming. With online and on-campus options, students will learn from expert programmers. The curriculum will begin with syntax, data types, and operators before moving on to more advanced data types and the fundamentals of algorithms. Students will also learn about data manipulation and Python utilities.

Python Bootcamp is a 14-week full-time program that will teach you to be a full-stack developer. Unlike most full-stack developer programs that focuses on front-end topics first like HTML/CSS and JavaScript, this program teaches you Python and database (back-end) first. Besides from this difference, you'll learn how to use popular frameworks like React and they also have an AI assistant that will help answer questions you might have along the way. You will graduate with a capstone project in hand to showcase to potential employers.

This data science with Python course is for people with a basic knowledge of programming with Python. This comprehensive course will explain how to work with some of the most widely-used data analysis and visualization modules, such as Pandas, matplotlib, Numpy, Scipy, and more. The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.