Coding Classes Portland, OR

In this certificate program, participants will learn the skills needed to become a full-stack web developer. Students will learn to build the front-end of websites with HTML, CSS, and JavaScript as well as learning how to program the back-end of websites with Node.js. Students will also be introduced to developer tools such as Git to collaborate with developers as well as modern web technologies such as Flexbox, Grid, & Bootstrap to efficiently create responsive websites. Attendees will learn the skills needed to start an entry-level career in development after graduation. The program includes a free retake and each course includes a step-by-step workbook.

Become a Software Engineer or Full Stack Developer in this immersive course. Master the front-end using HTML, CSS, JavaScript, and React; build the back-end with Python, Django, and Node.js. You'll also learn Git for version control, Flexbox and Grid for layout, MongoDB for creating data structures, and much more. Throughout the program, you'll build a portfolio of projects to help you secure a career in software and development. 

Meet the global demand for technical problem-solvers by developing your coding skills to create full-stack web applications across multiple frameworks, incorporating functionality from third-party APIs, executing software engineering projects in an Agile development workflow, and more.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

This program prepares students to enter the web development field, in as few as 12 weeks. Students will explore full-stack development tools, such as HTML5, CSS3, JavaScript, PHP, Bootstrap, jQuery, and much more. Graduates of this program will also benefit from career and job matching services.

Oregon State University's Data Analytics Bootcamp, powered by Fullstack Academy, offers both part-time and full-time online options to suit diverse learning needs. Spanning 10 to 26 weeks, this program dives deep into essential data analysis tools such as Excel, SQL, and Python. Whether opting for the more intensive 10-week full-time course or the 26-week part-time format, students engage in hands-on projects and prepare for industry certifications. This comprehensive approach equips aspiring data professionals with the skills and practical experience necessary for in-demand roles like Data Analyst and Insights Analyst.

This 5-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. This skills-centric 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 to create real-world Python applications.

This 3-day advanced Python programming course is designed for students already familiar with Python programming who are looking to understand more advanced procedures. This 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. Students will also learn how to package an application for distribution.

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, data structures, exceptions, Python syntax, and more.