Back-End Web Development Classes

The back-end of a website consists of the logic that defines how the front-end interacts with the database. It also controls when and how data is transformed and displayed to the user. Back-end developers need to know programming languages such as Ruby, Python, and PHP. Frameworks such as Ruby on Rails and Django (Python) are also valuable skills.

Data Science Classes

Data science is a quickly growing field that helps us analyze data to gain powerful insights and build amazing products. Many data scientists use Python because it’s an accessible general-purpose programming language that comes with valuable third-party libraries and tools to easily manipulate and visualize data.

Corporate & Onsite Training

Purchase group class vouchers at a discount for our regularly-scheduled group classes in New York, or create a custom training program at your offices.

Request more info: hello@nobledesktop.com

Front-End Web

HTML, CSS, & JavaScript

Back-End Web

Ruby on Rails, PHP, MySQL, & WordPress

Data Science

Python, SQL, Tableau, & Excel

Python

Machine Learning & Automation

Why Learn at Noble

Launch your career in tech with coding classes and dev bootcamps in NYC (or live online). Choose from weeknight classes, two-day workshops, and accelerated bootcamp programs. Students that enroll in courses at Noble Desktop don’t need huge loans or full-time availability.

Our module-style courses are affordable and easy to build on. Take only the classes you need to increase your earning potential, gain in-demand skills, and embark on a career in a new line of work!

What Coding Class is Right for You?

While many coding schools concentrate on full-time bootcamp programs, at Noble Desktop you can take individual classes on a specific topic, or take multiple courses as part of a certificate program. This flexibility allows you to learn a particular skill you want, or get a well-rounded start in our certificate programs.

If you’re not sure if coding is right for you, try one of our starter courses. If you like it, continue taking additional classes and you can earn a certificate. Our modular approach to classes allows you flexibility for scheduling and what you’ll learn.

Front-End Web Dev Bootcamps

The front-end of a website is what you see in a web browser. It’s the content, appearance, and interactivity seen in a webpage. To code the front-end you’ll use HTML, CSS, and JavaScript. We offer a full suite of web development courses and certificate programs.

HTML & CSS

The foundation of all webpages is HTML & CSS. HTML marks up or labels content such as headings, paragraphs, lists, links, and more. CSS styles the content based on your markup. HTML & CSS are easier to learn because they are coding, not full-blown programming. HTML is the easiest because there’s less code and complexity. CSS takes a bit longer to master because there’s more to it and it has some concepts that need to be understood for things to work properly. CSS continues to get new features faster than HTML, with newer layout techniques such as flexbox and grid. CSS continues to develop to give developers more control over the layout and appearance of a webpage.

You can get started with the basics of HTML and CSS in only 3 hours in our Intro to HTML & CSS class. If you need to learn it more in depth, take our Web Development Level 1 class, or for the most comprehensive program take our Front-End Web Development Certificate.

JavaScript

You can add animation and interactive functionality to webpages using JavaScript. JavaScript is the lord of a webpage, and can change both content (HTML) and styling (CSS) within a page. If anything needs to change after a page had loaded, it’s typically JavaScript that will be responsible for doing so.

JavaScript Libraries

Instead of having to write all the JavaScript yourself, many libraries allow you to use pre-made functionality. This will enable you to create things faster (by writing less code) without re-inventing the wheel.

jQuery

jQuery is like the swiss army knife of JavaScript libraries. It allows you to do so many different things. Many developers have packaged up their jQuery code as plugins, allowing you to do even more (slideshows, form validation, showing/hiding) without having to write much code yourself.

GreenSock

The GreenSock Animation Platform (GSAP) is a JavaScript library focused solely on animation. GreenSock gives you the most flexibility and control over animating anything within a webpage. It’s supported by all the major ad networks and recommended by Google for creating animated banner ads.

You should know some JavaScript/jQuery before learning GreenSock. While very powerful, in some ways GreenSock is easier than a lot of JavaScript/jQuery because the GreenSock syntax is very efficient and consistent.

React

React is a front-end JavaScript library for building an interactive UI (user interface) for web applications. Everything in React is a component. Each component can react (update) to changes, such as real-time data. Each component can updated without having to reload the entire webpage.

Before learning React you should have a know HTML, CSS, and JavaScript.

How to Get Started

Looking at the list of languages you can learn for front-end, it can be overwhelming knowing how much you should learn and where to start. When you’re getting started don’t worry about learning everything. You don’t need to know it all to start creating webpages. Knowing some HTML and CSS will get you started building simple websites. You can then add in JavaScript/jQuery.

See how you do learning and using those, and you’ll be in a better place to decide if you want to learn more and what that will be. Maybe you’ll want to learn more JavaScript and get into GreenSock, React, etc. or maybe you’ll want to explore the back-end (as we explain below.)

When learning HTML, CSS, etc., keep in mind that you are learning a language! Kids learning to speak their native language can understand you before they can speak, and when coding you’ll be able to look and understand code before you can know what to type in from scratch.

Practice makes perfect. To become a proficient coder keep the following in mind:

Learn the codes and know what they do.
Type those codes repeatedly to ingrain them into your memory.
As you start coding you’ll need to reference the books you get in our classes, Google, etc. until eventually you’ve written that code enough times that you can remember it without having to look it up.
Sometimes you may not fully understand concepts when you first see them, but they should start to make more sense after you get a bit deeper into a language. While HTML/CSS let you do things with very little code and get immediate feedback, more complex languages such as JavaScript require you to understand multiple core concepts before you can do something basic. HTML/CSS are going to be easier, while JavaScript is a step up in terms of complexity and difficulty. Just take things in stages. It’s like learning to crawl, walk, and then run. In time you will get it, especially the more you learn and practice.

Noble Desktop’s front-end classes are a great way to learn to code. They come with step-by-step workbooks which you can reference later if you forget how to code something. You can practice by going over the exercises and once you know the code you can start using it to build your own pages.

Back-End Web Dev Bootcamps

The back-end of a website involves things that happen on a web server (a computer that runs the website). It usually involves a database for storing information such as products, prices, orders, social media posts, passwords, etc. Using a server-side coding language (such as PHP, Ruby, Node.js, etc.) you can process information in forms, create login/logout functionality, and much more.

This ability to accept user data is what creates the magical experience of websites like Instagram, YouTube, and Facebook. On the early internet, websites did not change much. You could view a restaurant menu or travel photos, but there was no reason to stay on a site after you’d seen it. The content was stagnant, and viewing was a lonely experience without interaction from other visitors to the site. Today, websites can captivate people for hours because there is always fresh content, comments from other users, and opportunities to interact. When users have their accounts, the experience can even be personalized to match their tastes. This kind of dynamic, engaging experience is the real value of a backend programming language.

WordPress & PHP

WordPress is a CMS (content management system). That means regular people (non-coders) can go in and update content such as text, images, etc. WordPress is the world’s most popular CMS, running over 30% of all websites. Behind the scenes, WordPress runs on PHP, a server-side language that has been around for a very long time.

While non-coders can update content, there are limits to what they can do. Themes control the appearance and functionality of a WordPress site, and they are coded with HTML, CSS, JavaScript and some PHP.

Ruby on Rails

Ruby on Rails is very developer friendly. It’s powerful, yet the code is readable and intuitive. It lets programmers write code quickly and efficiently, which is why it’s popular with many companies such Airbnb, GitHub, and many others.

When Ruby on Rails emerged in the early 2000s, it delivered a karate-chop to the web development ecosystem. In contrast to the existing tools, which emphasized flexibility and generality, Ruby on Rails was laser-focused on being productive for web development. Instead of personalized configuration, Ruby on Rails holds everyone to the same strict conventions. These conventions function like a “shorthand” for code and allow experienced Ruby on Rails developers to create an amazing amount of functionality in a short amount of time. Other languages and frameworks have since adopted many of the principles that Ruby on Rails pioneered, but it remains an excellent specialized tool for web development.

Node.js

Because so many front-end web developers know JavaScript, they wanted to be able to run JavaScript on a server instead of having to learn another server-side language. Node.js makes this possible. Node.js is asynchronous and many concurrent connections can be handled at the same time, updating each connection once a process has finished. In other words, Node.js can run very quickly.

Two unique advantages that Node.js enjoys are the speed of JavaScript and the ability to handle many simultaneous connections. Because JavaScript is a bottleneck when browsing the internet, Google has spent an immense amount of time and money figuring out how to run it faster. The result is called the V8 JavaScript engine, which forms an important part of the Chrome internet browser. Node.js can reuse the V8 engine when it runs JavaScript code on the back-end, giving it a speed advantage over similar server-side languages.

The second advantage of Node.js is that it will happily support thousands of simultaneous connections. Node.js was designed during the modern internet era where 10,000 users could be interacting with a website at the same time, and its architecture is built to accommodate that. Like a waiter serving several tables at once, it can jump back and forth between users and satisfy all their demands in real-time. Other backends, designed for a simpler era, default to satisfying one user at a time and will struggle under heavy traffic unless they are augmented. This feature of Node.js, its “asynchronous” design, makes it more difficult to learn initially but much easier to scale up in the case of a popular website.

Python

Python very popular and gaining momentum. That’s partially because you can use it for so many things: back-end web development, data science, automation, and more. Another reason people like Python is its short, readable code.

Python is a popular choice for backend programming because it is easy to read and versatile. The readable code makes the learning curve for Python friendlier than any other language. This emphasis on readability carries over to the tools built in Python, which also tend to be simpler to use than in competing languages. While readability has these short-term benefits for students of Python, it also has long-term ones. Teams of programmers have an easier time collaborating on each others code, finding bugs, and onboard new members.

When Python is used for a variety of tasks within a team—like web development, automation, and data analysis—it eliminates the extra work it would normally take to use multiple languages for these tasks. There is the obvious extra work of setting up and integrating tools from two separate languages, but there are also the time spent learning and enforcing best practices in two different languages. Just using Python eliminates both kinds of extra work. Using the same language across different functions also makes it easier for programmers to switch roles if the need arises.

Data Science Bootcamps

As massive and complicated data sets become increasingly common, specialized tools such as Python, SQL, and R have emerged to analyze, visualize, and transform that data. Python is one of the most common tools for working with data due to its open-source license, relative ease of use, and available third-party tools. Data scientists also use SQL to directly access and manipulate databases. R is a great programming language for those who need a more specialized tool focused on statistical analysis.

Python

Python is quickly becoming the lingua franca of data. The reason for its booming popularity, in short, is that it is a versatile, open-source language that is fun to use. Up until recently, the tools for dealing with data formed a very fractured landscape. Each particular discipline had its preferred tool, which was usually proprietary. Economists tended toward STATA, machine learning researchers tended toward MATLAB, and physicists tended toward Mathematica. As collaboration over the internet has become easier, the passionate open source community around Python has caught up to these proprietary tools and surpassed them. Features that used to make these proprietary tools unique—advanced graphing capabilities or a shareable notebook format, for example—have all been incorporated into Python. Users from all kinds of quantitative disciplines have been migrating to Python, attracted by the appeal of an open-source tool that is more versatile and fun to use.

SQL

More and more professionals are being expected to use data in their decision-making, and learning SQL will mean you are ready. SQL lets you answer questions using a database, the ultimate system of record for most organizations. While spreadsheets can give you a partial snapshot of your organization’s data, with SQL you can get a complete view of your data in real-time. You will also learn how data is inserted and organized, so that you can better understand how your organization collects the data it has. This can give you valuable insight into whether important data is being lost, or if poorly organized data is slowing you down.

R

For statistical analysis, R has a set of tools that is unmatched in depth and sophistication. Statisticians and other academics have been contributing to R for over 25 years, guaranteeing that for any statistical technique you can think of there will be a high-quality tool ready and waiting. If you have a background in statistics, you may find R easier to use because the terminology will be consistent with your training. However, since R is a specialized tool for statistical analysis, you may want to consider a more general-purpose language like Python if your interests are broader.

iOS App Dev Bootcamps

Swift is Apple’s latest coding language for creating iOS apps. Compared to the previous language (Objective-C), Swift should be easier and more friendly for new app developers. Swift is also more like JavaScript, which should help web developers that want to make the transition to app developer.

If you have never done any coding or programming, it can be daunting to jump right into iOS app development. Having prior experience in another programming language such as JavaScript or Python will help, as you’ll already understand some fundamental programming concepts that many languages share.

In particular, it will help to be comfortable with object-oriented programming and reading API documentation. iOS development heavily involves building on top of code that Apple developers have written and using APIs that Apple provides. Unlike in other domains, a new iOS project will not start from a blank slate but will instead plug into a strict framework that allows your code to safely interact with the iPhone or iPad it runs on. Understanding how to fit into that framework is the biggest hurdle when starting with iOS development, and relies on your ability to read documentation and object-oriented code.

What Will You Learn?

The most important thing to coding is getting started. Once you get going you’ll see how you like it, how well you do, and what you enjoy most. That’s why we have individual classes that let you get started, many of which count toward a longer certificate program if you want to continue.

Not sure what type of coding is right for you? Just ask and we’ll help you decide which classes or certificate programs are best suited to your goals and abilities.

Coding is an expertise that spans almost every industry – from healthcare to software companies to manufacturing. Learning to code is a lucrative path that can be adapted to your ambitions and passions.

You should learn how to code if you want to get a job in web development, software development, data science, app development, or fintech. Learning how to code will open up a world of well-paying jobs, freelance work, and passion projects. Taking a coding class can also make you a strong problem-solver, a more logical person, and a better communicator – which are important skills for any job-seeker.

But coding isn’t easy to learn on your own. Many people who embark on learning how to code give up at their first roadblock. The secret to learning how to code is actually understanding how to break through those roadblocks and solve problems efficiently.

In almost every job that involves coding, you’ll be working with a team. Taking a coding class in-person or live online will give you ample opportunities to work with your classmates on projects and problem-solving. You’ll also get first-hand practice with the tools that your future employers will use to manage you and your team – a necessary skill for success in the tech industry.

Taking a coding class will teach you how to learn, how to problem solve effectively, and work on a team. Plus, you’ll leave with at least one project to add to your portfolio. Your portfolio is an important aspect of your job application in the tech or data industries.

Coding classes vary in length and intensity. There are multi-week coding bootcamps that offer a comprehensive coding education for people who want to change careers. There are also coding courses specifically for one coding language that are better for those who want to upskill. Single-language coding courses are also ideal for anyone who isn’t sure they want to embark on a path to a new coding career but are ready to test the waters.

Bootcamps will teach you how to completely change your career, build with code from scratch, job skills, and how to work on a team. They usually offer payment plans, student loans, or income share agreements that are more financially accessible than a single course. A coding bootcamp might be more expensive overall, but it’s a worthwhile investment in your future because most bootcamp graduates receive a 51% salary increase compared to their pre-bootcamp job.

There are no prerequisites for most coding courses. Almost all coding courses and bootcamps are designed to turn complete beginners into competent coders. A coding bootcamp will give you all of the education you need to apply for coding jobs. But a coding course will only teach you one specific coding language.

With a coding course, you have access to instructors with experience in the industry, someone to help you push through your learning roadblocks, as well as classmates to work with and lean on. Courses will also give you a complete curriculum to make sure you’re learning everything you need to know.

You’ll leave a coding course with projects for your portfolio, problem-solving skills, and an understanding of what you need to do after bootcamp. You’ll be competent in relevant technologies and know exactly what jobs you’re qualified for.

There are different types of coding classes because coding is used in many industries for a variety of purposes. You can learn how to code to secure a job in web development, app development, software engineering, data science, data analytics, fintech, and more.

If you want to break into web development you should take a web development bootcamp or a front-end development bootcamp. Not ready to jump into an immersive bootcamp yet? Start with HTML and CSS. Once you’ve mastered the foundations of laying out and styling a website you can dive into JavaScript.

If you’ve already learned front end development (HTML, CSS, and JavaScript) and you don’t want to take an immersive web development bootcamp, you can take courses on specific back end languages including Ruby on Rails, Python, Java, PHP, or .NET. Python and Java are the most in-demand back end programming languages.

If you want to learn how to code to embark on a career in data science, you should learn Python or R. You’ll also need to know SQL, data visualization, and machine learning. The most popular data visualization tools are Tableau and PowerBI.

Not interested in web development or data science? Coding is used for much more than these two fields. You can use coding for mobile app development, the internet of things interfaces, software development, IT automation, and computer science too. Dive into mobile app development for Apple devices with an iOS Development Bootcamp or learn Swift.

The best way to learn how to code is through an in-person or live online course because you can instantly get help from industry-experienced instructors to get you on track to your goals more efficiently. You’ll also gain access to full curriculums that take the guesswork out of your career roadmap if you attend an immersive bootcamp.

Bootcamps and courses also make your learning experience better because they hold you accountable. You’ll learn faster with deadlines set by industry experts, a clean curriculum that teaches you exactly what you need to know to get a job, and project-based learning that you can use to prove your skills to employers.

If you want to learn how to code to change careers, upskill, or make the most of your current position with added tech skills, a class is always the best route. Learning how to code on your own can be frustrating but it doesn’t have to be! Taking a course will relieve the stress of creating your own roadmap to success, finding a real person to answer your questions, and finding misleading job tips on Google.

Upcoming Coding Classes in NYC or Live Online

All times are listed in Eastern Time unless otherwise specified.

December 2022
Python Developer Certificate December 5–23 Weekdays 10–5pm	$3,995 90 Hours NYC or Live Online	Learn the skills needed to become a Python Developer, from Python programming fundamentals to web development with Django and Django REST.	Add to cart
SQL Bootcamp December 5–21 Mondays & Wednesdays 6–9pm	$975 18 Hours NYC or Live Online	Learn to extract info from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You’ll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL	Add to cart
Data Science Certificate December 5–July 17 Weeknights 6–9pm	$3,995 114 Hours NYC or Live Online	Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.	Add to cart
FinTech Bootcamp December 5–July 17 Weeknights 6–9pm	$4,995 114 Hours NYC or Live Online	Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, data visualization, and machine learning. Create your own final project.	Add to cart
January 2023
Python for Data Science Bootcamp January 9–13 Monday to Friday 10–5pm	$1,495 30 Hours NYC or Live Online	Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.	Add to cart
Data Science Certificate January 9–February 7 Weekdays 10–5pm	$3,995 114 Hours NYC or Live Online	Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.	Add to cart
FinTech Bootcamp January 9–February 7 Weekdays 10–5pm	$4,995 114 Hours NYC or Live Online	Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, data visualization, and machine learning. Create your own final project.	Add to cart
Python for Data Science Bootcamp January 9–February 13 Mondays & Wednesdays 6–9pm	$1,495 30 Hours NYC or Live Online	Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.	Add to cart
Data Science Certificate January 9–June 26 Weeknights 6–9pm	$3,995 114 Hours NYC or Live Online	Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.	Add to cart
FinTech Bootcamp January 9–July 17 Weeknights 6–9pm	$4,995 114 Hours NYC or Live Online	Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, data visualization, and machine learning. Create your own final project.	Add to cart

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Featured Coding Bootcamps

Full-Stack Web Development Certificate

Data Science Certificate

Software Engineering Certificate

FinTech Bootcamp

JavaScript Development Certificate

Python Developer Certificate

Front-End Web Development Certificate

Front-End Web Development Classes

Front-End Web Development Certificate

Web Development with HTML & CSS

Advanced HTML & CSS

Flexbox, Grid, & Bootstrap

JavaScript for Front-End

React Development Bootcamp

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PHP & MySQL Bootcamp

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Python for Data Science Bootcamp

SQL Bootcamp

Python Machine Learning Bootcamp

FinTech Bootcamp

Data Analytics Certificate

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What Coding Class is Right for You?

Front-End Web Dev Bootcamps

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How to Get Started

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Learn Coding for a New Career

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