Coding Bootcamps Nashville, TN

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 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 DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

Meet the global demand for technical problem-solvers by developing coding skills and creating full-stack web applications across multiple frameworks, incorporating functionality from third-party APIs, executing software engineering projects using an Agile development workflow, and more.

Earn a Python certification with hands-on training in data analysis, machine learning, and real-world projects to prepare you for the PCAP exam and beyond.

The Web Development Full-Time course is a 5-month full-time program that will teach you full-stack development. The course will begin by teaching web development fundamentals using HTML/CSS and JavaScript. Next, you will learn how to use jQuery to build web applications. In the third module, you'll transition to back-end development and get introduced to Node.js. In the fourth module, you'll build single-page apps with the React framework. Finally, for the fifth module, you'll be introduced to computer science fundamentals and algorithms to help you pass job interviews. This course comes with a tuition-back guarantee if you don't find a job within 6 months of graduation.

Acquire the development and web technology tools needed to redirect your career path in this 6-month full-time web developer bootcamp. The curriculum gives participants the tools they need to become full-stack software developers. Students get lots of hands-on experience and write lots of code, working individually and in groups. The first three months focus on front-end web development. Students explore tools like JavaScript, HTML, and CSS, as well as concepts like hybrid mobile apps, web apps, custom web services, and web APIs. During the final three months, students work with SQL databases, code patterns, and other advanced tools. They also delve into more advanced topics, such as the Rails framework, the Ruby language, the MEAN stack, JavaScript language, the Django framework, and the Python language.

Develop cutting-edge web developer skills while you keep your day job with this 12-month part-time bootcamp. Students also have an option to transition to the full-time program after the first six months. These first six months revolve around front-end development. Through individual work and group projects, students learn programming basics, like CSS, JavaScript, and HTML, as well as core concepts, like object-oriented programming and DOM manipulation. Next, instruction moves to server-side coding. Some topics include C# object-oriented programming, .NET development framework, SQL database management, Git/GitHub source control, and agile methods.

Launch your data science career with this 9-month bootcamp. Motivated working professionals with a background in software engineering, quantitative research, and/or statistical reasoning benefit most from this class. Data science combines all three of these disciplines. Through hands-on learning, students apply mathematical, analytical, and statistical skills to real-world business problems, using tools such as Python, AWS, Spark, and Hadoop. Core concepts include curating and managing data, exploratory data analysis, supervised and unsupervised machine learning, data visualization, and natural language processing.