Coding Bootcamps Lisbon

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. 

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.

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.

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.

iXperience’s six-week live online Software Engineering Course and in-person internship teaches students fundamental skills in coding, using CSS and JavaScript frameworks, and website publishing. Participants apply these skills and gain practical experience through hands-on learning and class projects.

Beginner-friendly bootcamps that teach both front and back end development for students to become full stack developers. This school offers courses in person globally and live online.

Learn how to transform raw data into beautiful graphs, plots, and models through iXperience’s six-week Data Science and AI live online course and in-person internship. Students learn how to address and create solutions for real-world problems by preparing and analyzing datasets through machine learning.

This nine-week, fast-paced bootcamp prepares students to begin or accelerate their web development career path. Participants learn how to design and build attractive, robust, and responsive apps and websites. Specific course topics include developer tools, workflow management, software architecture, Ruby programming basics, database management, front-end development, coding clones, a capstone project, and career planning.

Acquire the skills needed to begin or build your web development career in this 24-week bootcamp. Participants learn to work smarter instead of harder as they design and build apps and web pages that meet or exceed user and organizational goals. Specific topics include managing web development workflow, mastering software architecture principles, programming basics, fulfilling relational databases, front-end development with Bootstrap and CSS, ES6 programming, using Github and Heroku to clone websites, and a capstone project.

This nine-week bootcamp gives participants the skills they need to join data science teams or accelerate their current career growth. Learn how to convert raw data into insightful information. Specific course topics include understanding basic statistical theories, using Python to write code, using seaborn and matplotlib to visualize data, using SQL to develop databases, publishing findings, data processing, using performance metrics, overfitting, unsupervised learning, managing images and text, understanding neural networks, developing computer vision, machine learning, and a capstone project.