The best coding bootcamps and certificates in NYC

Data-driven decision-making is at your fingertips in this Python for Data Science Immersive. From Python programming fundamentals to data analysis, this hands-on course equips you with essential skills for manipulating data, creating insightful visualizations, and performing statistical analysis using real-world datasets. Explore Python's fundamentals, including writing basic statements, working with different data types, and grasping object-oriented programming concepts. Dive into conditional statements, control flow tools, and master essentials like If/Else Statements, Boolean Operations, loops, dictionaries, and functions. You’ll learn to import and clean data using NumPy and Pandas, work with dataframes, and perform descriptive statistics. Finally, analyze and visualize data using essential data science libraries, including Pandas, NumPy, and Matplotlib, generating insights and creating visualizations for straightforward interpretation and sharing.

Unleash your coding journey with Web Development with HTML and CSS, the keys to webpage wizardry. You’ll dive into structuring and styling your responsive websites from scratch. Get hands-on with HTML, creating pages filled with text, images, and more. Use CSS to control the layout and styling, making your pages look stunning on any screen. You’ll have prepared content to work with so you can focus on what you really want to learn–coding. Upload your final creation via FTP and watch your website come to life.

Master JavaScript programming essentials with this hands-on course, where you’ll gain the skills you need for creating web applications. This course covers a wide range of topics, including variables, conditional logic, functions, DOM manipulation, arrays, loops, async events, APIs, OOP, and 3D libraries, and is tailored to prepare you for practical web design projects. You’ll learn the fundamentals from the ground up, explore the latest ES6 and ES7 features, and delve into higher-level functions, asynchronous JavaScript, APIs, and Object-Oriented Programming. Enhance your skills with array and string methods and complete hands-on projects that strengthen your capabilities. The coding interview challenge prep and portfolio development ensure you're well-prepared for the challenges of real-world projects.

Become a master of data with this Microsoft SQL Server Bootcamp at NYIM Training. You’ll learn essential skills like crafting SQL queries, joining tables, aggregating data easily, and extracting insights from databases that turn raw data into gold. From the basics of viewing tables to advanced techniques like joins and subqueries, this course covers it all. As data becomes the driving force in every industry, learning SQL gives you the key to unlocking decision-making roles in business, data analysis, and more. 

Dive into personalized applied learning with live connections and real work experience in Python Full Stack Bootcamp at Byte Academy. You’ll master Python, the tech industry's prized gem that is renowned for its versatility and top-tier pay rates. Delve into Object-Oriented Programming, discover the secrets of writing code like a pro and unveil the magic of SQL for interacting with databases. Learn to use JavaScript to power the web, both front and back end, and explore React for crafting efficient and sleek user interfaces. You’ll elevate your skills by working alongside industry professionals, tackling real-world projects with deadlines, and gaining that invaluable first line of experience for your resume.

Elevate your coding with the Columbia Engineering Coding Boot Camp, your entry into the realm of full stack web development. You’ll dive into a fast-paced, immersive curriculum where you’ll master essential front-end and back-end technologies. Immerse yourself in this robust curriculum, encompassing a full range of coding tools like HTML5, CSS3, JavaScript, jQuery, Express.js, React.js, Node.js, and agile methodology. You’ll collaborate with peers on real-world projects and have complex applications that shine in your professional portfolio.

It can seem complex to understand how JavaScript fits into the world of software engineering. In this JavaScript for Beginners course, you’ll see how everything works together and gain a road map of how coding works. JavaScript for Beginners is designed to be your introduction to coding, so you don’t need any prior experience. In two short weeks, you’ll master JavaScript fundamentals. The curriculum is carefully constructed to give a broad introduction to 'what programming is' and cover important JavaScript concepts so you'll be able to solve challenges and build projects with confidence.

Solve real-world problems with machine learning in this immersive course, focusing on practical skills and data science libraries. Machine learning algorithms are in high demand from Wall Street to websites. You’ll begin with time-tested tools like regression analysis, then progress to diverse algorithms like k-nearest neighbors, decision trees, and random forest, which bring statistics to the forefront and measure the accuracy of your model. Lessons explain the mathematical foundations for each machine learning algorithm, but there will not be a formal math component. Before taking this course, you should be comfortable with writing Python programs and the NumPy and Pandas libraries.

Learn to extract information from databases with the magic of SQL in this hands-on SQL Bootcamp. Using PostgreSQL to make queries, join tables, aggregate data, and filter results. You’ll be able to turn raw data into actionable insights by viewing tables, columns, and rows and then coding queries to extract specific information. Filter your data, group it, and see what it tells you. Level up your skills with advanced techniques like aggregate functions, subqueries, and parameterized functions. In today’s data-driven world, SQL proficiency is your ticket to a pivotal role in decision-making across various industries.

Becoming a coding pro with Data Science with Python: Data Analysis and Visualization at NYC Data Science Academy. This course is perfect if you have basic programming knowledge and want to level up. You’ll dive into Python's high-level language, exploring syntax, data structures, and interactive coding using Ipython notebook. Uncover the secrets of Object-Oriented Programming, tackle dirty data with cleaning techniques, and learn file handling and string processing. Supercharge your skills with scientific computation using NumPy and SciPy, then transform data into visual masterpieces with Matplotlib and Seaborn. Conclude your journey by mastering data manipulation with Pandas. Get ready for the final project, where you'll showcase your new Python expertise.

Jump into coding with Python, the go-to language for Web Developers, Data Scientists, and Machine Learning Engineers. In Python Course NYC at BrainStation, you’ll unleash your coding potential by mastering Python programming, from cleaning and analyzing data to navigating essential libraries. This live Python course introduces you to Jupyter Notebooks, the playground for running Python code and tackling diverse data types. Dive deeper into dynamic software concepts, flexing your newfound skills with hands-on exercises. Elevate your programming prowess in the final unit, where you'll conquer data sets, pivot tables, and data cleaning. Get ready to Python your way to success.

If you want to become proficient in Python, the industry-standard language for data science, the Data Science Bootcamp is a great place to start. Along with mastering Python coding, you’ll explore using SQL to effectively interact with databases, a crucial skill in many business contexts, and master the essentials of calculus, linear algebra, and statistics, so you can comprehend the intricacies of machine learning. Plus, you’ll learn to create compelling visuals that effectively communicate the results of your analyses. Harness the power of data for constructing precise predictive systems. The emphasis on hands-on projects and reviews, coupled with practice in foundational interview concepts, ensures you’ll refine your coding skills and prepares you for success in a new job or internship. This curriculum seamlessly blends live and recorded instruction, offering an optimal learning experience.

Whether you're a novice or seeking a Python refresher, Introduction to Python for Data Science paves the way for seamless live learning with introductory tutorials spanning variables, expressions, comments, constants, conditional execution, functions, libraries, loops, and iteration. You’ll move on to exploring the data structures available in Python, such as Pandas and NumPy, and learn the importance of data wrangling in an analytics pipeline. Learn to convey data stories with visualization techniques like heatmaps, scatter plots, and density curves from the Seaborn and Matplotlib libraries, and explore data pipelines, REST APIs, web scraping, and deploying machine learning models using REST API endpoints. Dive into machine learning with scikit-learn's tools and estimators, including linear regression, random forests, a churn prediction model, hyperparameter tuning with grid search, and model evaluation techniques like ROC curves. You’ll culminate your 5-day course with a personalized Python project where you’ll receive expert guidance to cement your skills.

Python is one of the most frequently recommended first programming languages for new programmers and it is vital for almost all data-related tasks. High school students looking to learn the art of programming and hoping to pursue a career in data science will want to consider this in-person summer training program. Students will get hands-on experience working with the Python programming language and they’ll create working applications and code that they can use to help them in their future data science projects. Students will also stay on the cutting edge of technology with training in machine learning algorithms.

Java is the most common language utilized in AP Computer Science classes and introductory college courses, meaning that if you are a high school student planning on pursuing a career in Comp Sci, learning Java is going to be an important first step in the process. If you are looking to spend a summer learning any amount of coding, consider enrolling in this Java summer program in which you will get hands-on experience writing and reading code, learning how algorithms and conditional statements work in a program and debugging code. No matter what your end goal, if it involves working with computer programming, learning Java is a skill you don’t want to pass up.

Pick up two major programming skills in this computer science summer camp where you will learn both Java and Python. Ideal for students of any experience level, this course provides high schoolers with the tools that they need to work on complex programming tasks, including data science and software development projects. Students will get hands-on support and training as they learn the basics of two of the most essential programming languages in the field of computer science, helping prepare them for the practical issue of enrolling in college courses and the more abstract issue of choosing the kind of computer science they wish to pursue further.

Level up your summer break with this live online certificate program. In the Computer Science Summer Certificate Program Live Online at NextGen BootCamp, you’ll master Java and Python and gain a head start on the AP Computer Science Exam. Dive into the exciting worlds of data science and machine learning. From programming basics to advanced skills, this program covers it all. Java and Python, the dynamic duo of programming languages, are your tickets to the most in-demand skills for today's workforce. Get ready to write industry-standard algorithms, think like a programmer, and unleash the power of Python for data science.

Boost your team's collaboration and skills with an engaging team-building workshop that focuses on JavaScript programming. Corporate training transforms learning into a dynamic collaboration, enhancing teamwork, decision-making, and the satisfaction of learning valuable coding skills. Your team will learn to bring your web applications to life with JavaScript, guided by industry experts in a hands-on team-building environment. From fundamentals to advanced techniques like APIs and OOP, this course equips your team for success. Decode the secrets of optimized, fast-moving data transfer in modern web applications when you unleash the full potential of JavaScript.

Enroll your team in the Python for Data Science Bootcamp to equip them with essential skills in programming, data manipulation, visualization, and machine learning. This hands-on training ensures a solid foundation in Python and data science, fostering team building and empowering employees to apply their knowledge immediately. The Bootcamp covers Python basics, then progresses to machine learning and explores its applications in data science. You’ll then delve into Python fundamentals, structuring programs with conditional statements, control flow tools, and working with dictionaries. Your team will gain proficiency in data manipulation using NumPy and Pandas, analyze and visualize data with key libraries, and explore linear regression for machine learning applications.

In today's technology-driven world,virtually every industry utilizes coding skills, whether it is to perform complex data science calculations to make complex decisions, build applications and software programs to help automate tasks or provide consumer services. By learning to code, you can find a place in these industries and make yourself an invaluable part of any institution or field.

In addition to the career benefits, learning how to code teaches you to think and approach problems in different ways. Computers are notoriously difficult beasts, since they can only interpret code in the most literal way possible. This requires programmers to know how to think around these limitations and solve problems within the boundaries that are set for them by the computer. Enrolling in a coding class can be beneficial even for non-professionals since it will help them learn to think in new ways.

Unsurprisingly, learning a programming language is a bit like learning a real language (only kind of easier, given how literal computers need to be). You’ll need to learn vocab, syntax and grammar and you’ll have to learn how to string sentences together to get a desired outcome. While it can seem intimidating at first, learning to code is easy if you dedicate the time to it and you have the help you need to master the skills

Coding classes offer a supportive learning environment where you can ask questions, collaborate with peers, and receive personalized assistance. The hands-on nature of courses means you won't just be memorizing theory; you'll be actively coding and problem-solving. With practice and persistence, you'll gain confidence and coding proficiency. The key is to approach it with an open mind, embrace the learning process, and recognize that, like any skill worth acquiring, it takes time and effort to master.

In today's digital age, coding is a highly valuable and versatile skill that unlocks many career prospects. The demand for coding skills in the workplace extends beyond traditional tech roles and is relevant in fields like marketing, finance, and healthcare. The job market now values people who can automate tasks, analyze data, and develop web applications, making coding a hot ticket for applicants.

For example, you’ll need coding proficiency to interpret large data sets in data analysis and business intelligence roles. In web development, you’ll use coding to craft engaging and functional websites. The rising demand for automation, particularly in finance and marketing, has generated a surge in job opportunities for people with coding expertise. Whether you aspire to be a software engineer, data scientist, or marketing analyst, integrating coding skills into your skill set makes you more competitive and broadens your opportunities.

Many students find that live instruction is the difference between success and failure when it comes to coding education. Having someone present to assist you and provide guidance (even if over a Zoom call) can make or break your future as a programmer. If this sounds like something you need, you’ll want to ensure that the bootcamp you attend will have a live instructor who can provide you with this support.

The length and focus of a bootcamp is also a key concern. Some bootcamps last a few days but run full time, meaning you’ll need to dedicate yourself to the process entirely. Other bootcamps run for significantly longer but may meet infrequently, as they are designed for working professionals to develop new skills in their off hours. Both of these styles have their advantages and disadvantages, so you’ll want to consider your own schedule when enrolling in a bootcamp.

The programming languages covered in a coding bootcamp can vary depending on the bootcamp's curriculum and focus. Many coding boot camps aim to provide a well-rounded education in languages and technologies that are commonly used in the industry. Before you enroll in a coding bootcamp, review the curriculum to ensure that it aligns with your learning goals and covers languages relevant to your career path. Standard programming languages covered in coding boot camps can be found below.

JavaScript

JavaScript is a versatile programming language widely used for front-end web development, allowing developers to create interactive and dynamic user interfaces that enhance the user experience on websites. With its ability to manipulate HTML and CSS, JavaScript enables the creation of responsive and engaging web applications, making it an essential skill for aspiring web developers. Moreover, JavaScript is also used for back end development, server-side scripting, and game development, showcasing its flexibility and wide-ranging applications in the tech industry.

Python

Known for its readability and versatility, Python is a popular choice for coding boot camps due to its applicability in various domains, including web development, data science, and artificial intelligence. Its straightforward syntax and extensive library ecosystem make Python an ideal language for beginners, allowing you to quickly prototype ideas and build practical applications. Additionally, Python's popularity in scientific computing and machine learning makes it a must-learn language for aspiring developers seeking to break into the tech industry.

HTML & CSS

While not programming languages per se, HTML and CSS are fundamental for web development, and most coding boot camps cover these markup and styling languages. HTML provides the structure, and CSS handles the styling of web pages. Understanding HTML/CSS is essential for aspiring web developers to create visually appealing and responsive websites that meet modern design standards.

Java

Java is a versatile programming language commonly featured in bootcamp courses due to its broad applicability. It is extensively used in enterprise-level software development, Android application creation, and web development, making it a valuable skill for aspiring developers.

With its platform independence and strong community support, Java is a popular choice for both beginner and experienced programmers.

Ruby

Ruby is a dynamic, object-oriented programming language known for its simplicity and readability, making it an excellent choice for beginners. It is commonly used for web development, with the Ruby on Rails framework being particularly popular for building robust and scalable web applications. With its elegant syntax, Ruby empowers programmers to write clean and efficient code for a wide range of applications.

SQL

SQL, or Structured Query Language, is a specialized programming language used for managing and manipulating databases. It allows users to retrieve, insert, update, and delete data from relational database management systems (RDBMS) like MySQL, PostgreSQL, and Microsoft SQL Server. Proficiency in SQL is essential for roles involving database administration, data analysis, and back end development, as it enables efficient data retrieval and manipulation.

C#

C# is a versatile and powerful programming language developed by Microsoft, primarily used for building desktop, web, and mobile applications on the .NET framework. It features strong typing, component-oriented programming, and support for modern programming paradigms like object-oriented and functional programming. C# is especially popular for developing Windows applications, game development using platforms like Unity, and enterprise-level software solutions due to its robust performance and extensive libraries.

Swift

Swift is a modern and intuitive programming language developed by Apple for building applications for macOS, iOS, watchOS, and tvOS. It offers a concise and expressive syntax, making it easier for developers to write clean and maintainable code. Swift is designed with safety and performance in mind, featuring advanced memory management and error-handling capabilities. It is the preferred language for iOS app development, providing developers with powerful tools and frameworks to create innovative and user-friendly applications for Apple devices.

PHP

PHP is a server-side scripting language commonly used for web development and dynamic content creation. It powers a significant portion of the internet, with popular platforms like WordPress, Drupal, and Joomla built on PHP. PHP offers simplicity, flexibility, and broad compatibility with various web servers and operating systems, making it an accessible choice for building websites and web applications. Despite its criticisms for inconsistent syntax and security vulnerabilities, PHP remains a foundational language in the web development ecosystem, providing developers with the tools to create dynamic and interactive web experiences.

C++

C++ is a powerful and efficient programming language widely used for system programming, game development, and high-performance applications. It offers low-level control over hardware resources, making it suitable for tasks requiring optimized memory management and high-speed processing. C++ is an extension of the C programming language, providing additional features like classes, templates, and exception handling while maintaining compatibility with C code. It is the language of choice for building operating systems, device drivers, game engines, and performance-critical software where speed and efficiency are paramount.

Inquiring about career support and job placement assistance is crucial for your post-boot camp journey. Understanding the level of support offered, such as resume workshops, interview preparation, and networking opportunities, ensures that you have the resources you need to land your dream job.