Coding Bootcamps Detroit, MI

This 12-week program prepares students to enter the web development field. 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.

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.

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 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 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 JavaScript course is a flexible program designed to help individuals with a general understanding of HTML and CSS enhance and broaden their front-end development toolkit. Through their blended learning model, students will gain access to pre-learning and expert-led videos to hit the ground running. Students in this course will broaden their knowledge of JavaScript fundamentals, learn the basics of object-oriented programming, and learn best practices when working with jQuery, browsers, and the Document Object Model (DOM). This course will also teach students how to utilize data from various Application Programming Interfaces (APIs) and how to persist data using a provider like Firebase. The JavaScript course concludes with a final project where students showcase their enhanced JavaScript knowledge by building a single-page application incorporating many regular design patterns in addition to the consuming and persisting user data from APIs.

This React JS course is a dynamic program designed to help individuals with a firm grasp of HTML, DOM, and JavaScript to create responsive websites with the ability to adapt to changing data. Through their blended learning model, students will gain access to pre-learning and expert-led videos to hit the ground running. Students in this course will learn how to create React application, understand how React works, as well as React programming essentials, like components, JSX, props, and state. This course will also guide students through building multi page web applications with the React router package, creating a custom web application, and how to incorporate an API in a React application. The React JS course concludes with a final lab project where students get to apply their React JS knowledge by building a React application of their choosing.

This 3-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. The 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 for simple applications.

This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.