General Assembly

This program covers the skills needed to start building responsive websites with HTML, CSS, and JavaScript — a versatile skill set with powerful applications in a variety of design, marketing, and other tech-related roles. Open to complete beginners, this course equips students with the cutting-edge tools they need to build rich, interactive websites. Participants will dive into essential programming languages, then round out their skill sets with industry-relevant topics like responsive design, APIs, and version control. Finally, they’ll apply these new skills to build a custom website from scratch.

This product management course is a dynamic program meant to help individuals with little to no prior experience gain confidence and credibility in managing projects. Through their blended learning model, students will gain access to pre-learning and setup videos to hit the ground running. Students in this course will leverage end-to-end product management (PM) techniques, including creating a product roadmap, developing a minimum viable product (MVP), and understanding the most important metrics to measure to track success. This course will also give students a better understanding about the roles and responsibilities of a product manager, how to do competitive analyses, progress tracking through objectives and key results (OKRs), and interacting with other key stakeholders, like UX designers and developers. This course is punctuated with a final project where students showcase their knowledge of the Product Management process from beginning to end.

This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.

This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.

This program aims to give students the fundamentals to succeed in the fun and growing field of digital marketing. The course curriculum covers a wide range of important marketing topics, including the tactics and digital channels to create successful campaigns. Students build skills quickly through GA's hands-on approach, and students will get comfortable using social media, search optimization, conversion best practices, and Google Analytics to improve digital marketing efforts. Graduates of the program walk away with a capstone project in addition to foundational skills required to build a career in digital marketing.

This UX design course is designed to help individuals with little to no UX experience learn the common tools and concepts to launch their UX career. Through their blended learning model, students will be able to hone their UX design skills through 20 hours of introductory lessons, in-class project work, and though the support of a devoted career coach. Students in this course will start their UX journeys by learning the foundations and fundamentals in UX, like the design process, affinity mapping, rapid prototyping, and usability testing. As the course progresses, students will switch to UI foundations, design iteration and development, and best practices when working with a product team. The program concludes with UX's real-world implications, like working with clients and projects, as well as a final stage dedicated entirely to career planning and building your personal brand.

This beginner UX course is a 40-hour in-person or online program aimed at giving students the fundamentals to succeed in the fast-paced field of UX. The course curriculum covers a range of important UX topics, including user experience research, content strategy, wireframing, prototyping, and usability testing. Students build skills quickly through GA's hands-on approach, and students will build experience with two of the most common platforms in the industry: Sketch and Invision. Graduates of the program walk away with a capstone project in addition to foundational skills required to start a career in UX design.

This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

This beginner Python course is a flexible program meant to get complete beginners comfortable coding with Python. With a blended learning model, students will gain access to pre-learning and setup videos to hit the ground running. Students will learn to code with Python with a hands-on approach, building Python programs, and working with data. This course covers key programming concepts like object-oriented programming as well as data science fundamentals and culminates with a project creating an API to pull in 3rd party data. This 40-hour program can be taken in-person in NYC or live online over 1-week (full-time) or ten weeks (part-time).

This software engineering program is designed to help individuals with little to no programming or computer science experience get up to speed and launch a career in tech. Through their blended learning model, students will be able to hone their tech skills through 14 hours of preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their software engineering journeys by learning the fundamentals in software engineering, like coding with HTML, CSS, and JavaScript. As the course progresses, students will become familiar with Front-End and Full-Stack Development, focusing on algorithmic thinking, core programming concepts, and debugging best practices. The course concludes with Front-End Frameworks, incorporating APIs into Full-Stack Development. This course culminates with a final lab project where students get to apply their newly acquired software engineering skills to build an application.