Coding Bootcamps Berlin

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.

This coding bootcamp teaches a combination of coding and UX skills used by Full Stack Developers. Students will learn to code with JavaScript, use its most popular frameworks (React, Express, and Node), and organize data with MongoDB and SQL.

During a pre-course independent learning session (materials provided), students will need to learn coding skills in HTML, CSS, JavaScript, Git, and APIs. Once class begins, students learn advanced JavaScript, unit testing, fundamentals of other programming languages, data structures, and more. Students also gain experience with back end frameworks, such as Node, Express, and Koa, and databases, like SQL and MongoDB, as well as advanced HTML and CSS. Additionally, the class includes instruction on front end frameworks such as Angular and React and about security threats, authentication, and automated tasks.

Students in this program will learn important concepts and tools for business analytics, machine learning, and data engineering included (but not limited to) Python, Tableau, and SQL. They'll also explore data collection, inferential statistics, and deep learning.

Students are provided with pre-course material so that they can enter the class with strong abilities in JavaScript, HTML, CSS, and a basic understanding of Git, Developer tools, and APIs. Upon official class meetings, students learn advanced JavaScrip, unit testing, data structures, algorithms, and networking (Internet, HTTP, WebSocket), and more. More topics include back end frameworks, like Node, Express, GraphQL, and Koa, and databases, such as SQL and MongoDB. Front end frameworks are taught, including Angular and React and end-to-end testing.

Web development courses are held in several locations throughout Germany and are twelve weeks long. Students take a pre-course that shows them how to design using HTML, CSS, and JavaScript, as well as fundamentals of debugging and GitHub. Once the prep course is completed, students start an immersive development bootcamp.

Python is used for a different project each week to teach students data analysis and machine learning. Topics in the course include Pandas, SciKit-Learn, model math, and Deep Learning.

The DSR curriculum covers three dimensions of data science: engineering, analytics, and business. Within each of these disciplines are included sub-topics ranging from Python and SQL to machine learning, probability and statistics, and technical and presentation skills.

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.

In this immersive program, students will learn full stack web development and code applications from scratch with Git, HTML, CSS, JavaScript, Node.js, React, and Express

The Data Science bootcamp covers Python, SQL, Git, data analytics, machine learning, deep learning, natural language processing, and deployment. Students will complete a final project to apply the skills they learned throughout the course.