Lighthouse Labs

Remake yourself into a web development professional in this twelve-week bootcamp. Participants learn how to think like a programmer and master the necessary tools. Specific course topics include CSS, JavaScript, HTML, Node.js, and associated libraries, React JS and other JavaScript frameworks, Chai, Mocha, and other automated testing platforms, database modeling and software architecture, Ruby on Rails and other design patterns, and algorithms and other computer science fundamentals.

If you want to become a data scientist, you should enroll in this intensive twelve-week bootcamp. Participants learn how to extract data from multiple sources to empower decision-makers. Specific course topics include Python, GitHub, and other data foundations, matplotlib, Seaborn, and other data visualization tools, Flask, Docker, and other data engineering platforms, data wrangling with JSON, SQL, and XML, machine learning models, and deep learning techniques.

This intensive six-week bootcamp equips participants to pursue professional web developer careers. Through a combination of live instruction, individual and group projects, and class discussions, participants explore topics like an introduction to coding, interfacing with other development team members, and breathing life into entrepreneurial ideas. The curriculum covers many basic programming languages, including GitHub, HTTP, HTML, Ruby, CSS, and Sinatra.

Acquire key front-end web developer skills in this six-week beginner-level bootcamp. Participants learn how to design, build, and manage fully interactive websites. Coding novices, current professionals, and budding entrepreneurs all benefit greatly from this course. Specific topics include basic web development principles and an extensive look at programming languages like JavaScript, jQuery, CSS, and HTML.

Explore the world of data analytics in this intensive six-week bootcamp. The ability to extract and apply data makes you a valuable team member. Specific course topics include addressing data concerns, determining data collection methods, ensuring data quality, gaining insights from existing data, maximizing tools like Tableau and Excel, and publishing results.