The best Python classes, certificates and bootcamps in NYC

When you learn Python in a specialized bootcamp, you’ll learn to use a full range of skills for a career field like data science or software engineering. This is a great way to make sense of Python’s broader role in your developer toolkit. Coding bootcamps may include data analysis tools, machine learning models, or data visualization libraries. Some bootcamps dive into web design and development with programs like HTML, CSS, and JavaScript. Plus, you’ll work on real-world projects that prepare you for the challenges of a career in development and show off your skills to potential employers.

As Python is such a versatile programming language, there are numerous developers and computer scientists who come to specialize in the language. In this certificate-granting program, you can learn everything you need to become a Python Developer as you learn how to write code in Python and undertake web development projects using Python and Django. This course is ideal for beginners who want a complete Python education, including students with no prior programming experience. Students will learn the syntax of Python and its major libraries and they will learn how to apply these skills to web development projects. Then, students will choose their own path of specialization as they select an elective to expand their Python knowledge into the fields of data science, machine learning or data visualization. With the help of experienced instructors guiding students through individual, hands-on exercises, students will leave the course with the knowledge they need to start more advanced Python training and begin working with the language as a specialist, rather than a novice.

Software engineering encompasses a broad spectrum of front-end and back-end development and utilizes diverse tools including HTML and CSS, JavaScript, Reach, Django, and Node.js. Python is an essential language in this toolkit, providing access to efficient development, rapid prototyping, and streamlined workflows. 

This program begins with HTML and CSS for front-end development. You’ll learn to manage versions with Git and layout adaptive website content with Flexbox and Grid. Then, you’ll learn to use JavaScript for enhancements like pop-up windows, video embeds, and dropdown menus. JavaScript is a versatile program that has many applications on both the front and back end of website development, including building a site infrastructure. You’ll learn to use Document Object Models (DOM) to break down the content of a web document into nodes and objects, so it’s easy to access and manipulate. Then, you’ll learn to use the JavaScript library React to build a fully working desktop application and deploy it in the Amazon Web Services (AWS) cloud, and you’ll round out your JavaScript skills with utilities like Node.js, MongoDB, and Express.js.

The course culminates with using Python development with Django. Once you’ve learned the lexicon of Python, you’ll quickly move on to advanced skills like dictionaries, custom functions, and algorithms. You’ll learn to use object-oriented programs, work with APIs, and query databases using SQL. Then, you’ll use Django to simplify Python functions and use Django REST to work with images, authentication, and API endpoints. This course will prepare you for a career in software and web development. You’ll finish with an impressive portfolio of web projects and a polished resume and LinkedIn profile, and you’ll be well prepared for job applications and common interview questions.

This 12-week, full-time Data Science Bootcamp provides the training, coaching, and connections you need to launch a data science career. This is an intermediate-level course and you should already have a strong mathematical foundation and familiarity with Python and programming fundamentals. Some students have prepared with self-study or have a technical background, such as a degree in mathematics or computer science or work experience in research or analysis. The course requires self-paced pre-work to prepare you to hit the ground running on day one of class. 

You’ll gain a broad data science skill set from veterans who bring hands-on experience from the field to the classroom. This bootcamp covers essential skills including data analysis, statistical modeling, machine learning models, data visualization, decision trees, and natural language processing. neural networks, and Python. Robust coursework and project toolkits guide you through your learning and make complex information accessible, and individual feedback and guidance helps you make the most of your experience. For your capstone project, you’ll tackle a real-world data problem from end to end. Develop a pitch and problem statement, source and collect relevant data, conduct an exploratory data analysis, and build a predictive model. You’ll document and share your findings through a presentation, technical report, and non-technical summary.

By the end of the course, you’ll have a professional-grade portfolio that showcases your ability to solve real-world data problems. General Assembly’s career services help you navigate your job search from technical challenges to salary negotiation. You’ll be prepared for technical interviews with resume reviews, mock interviews, and whiteboarding practice, and you’ll have a GA course certificate to showcase on LinkedIn. Plus, your connections with a professional network of instructors and peers will last well beyond the course.

There’s no prior experience required for this bootcamp; it’s designed for all skill levels and is a great learning environment for anyone willing to work hard and think big. People who excel in this program have a passion for tech, a desire to start a more fulfilling career, a natural curiosity, and a solution-focused mindset.

This program covers the essential tools you’ll need as a data analyst. You’ll learn the advanced features of Excel and how to define and manipulate databases with Structured Query Language (SQL). Then, learn to integrate data from multiple sources using ETL (Extract, Transform, and Load) Data Processes and create interactive data visualizations using Tableau. You’ll dive into using Python to build and manage data structures with conditional statements, loops, and functions as well as OOPs and threading. Once you’ve mastered the fundamentals of Python, you’ll apply it to data analytics using linear algebra and statistics and Python libraries like NumPy and Panda.

Generative AI has changed the way data analysts work, and this course covers in-demand skills using top tools like ChatGPT and Google Gemini. You’ll learn prompt engineering that makes the most of this AI, understand when to use AI for data analysis and storytelling, and explore the ethics of this leading-edge technology. AI can aid data discovery, exploration, and visualization in data analytics and help with ETL and data modeling automation. 

You’ll contribute to several projects throughout the course, and culminate with a final capstone project that uses the five core data tools used in the program (Excel, SQL, AWS Glue, Tableau, and Python) and applies them toward finding practical data solutions for real business challenges. This project is a great start for your portfolio and demonstrates your skills to prospective employers.

High school students looking to learn the essential Python skills they will need to stay on the cutting edge of seismic shifts in the world of technology should consider enrolling in NextGen Bootcamps’ Python Data Science & AI Machine Learning summer program. This course, which can be taken in-person or online, offers students hands-on training in Python programming skills associated with data science and artificial intelligence. Students will learn how Python is utilized to collect, organize, clean and analyze datasets and they will learn about the foundational logics of machine learning, automation and artificial intelligence. As AI begins to reshape how we interface with technology, learning these Python skills early is a great way to get a leg up and develop a long-term advantage in professional and educational pursuits.

Once you’ve learned the basics of Python, you can expand on your capabilities by learning more advanced techniques. Python is the ideal tool for tasks like machine learning, automation, and data visualization, and learning to use libraries and complementary programs prepares you to work on complex projects and grow your career.

You encounter machine learning in every part of your daily life; it now runs the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix. The Python Machine Learning Immersive prepares you for an exciting career in this field. Before you begin this bootcamp, you should be comfortable with writing Python programs as well as the Numpy and Pandas libraries. This course is ideal for confident Python users who want to gain hands-on experience with machine learning and developers with strong skills in another language and some experience working with data. Over 18 hours of live class sessions, you’ll immerse yourself in machine learning in small classes led by industry experts.

By the end of the bootcamp, you’ll understand how to build a model from start to finish. You’ll learn how to clean and balance data, apply machine learning algorithms using the scikit-learn library, choose the best features to use as input, split data into sets and perform a bias test, and finally evaluate the accuracy of your model. You’ll be prepared to build, evaluate, and assess forecasting models on all forms of data. 

If you want to review what you’ve learned, you can review recordings of class sessions for up to a month and you have one year to retake the entire course. Upon completion, you’ll earn a certificate that you can share with your professional network on LinkedIn and display for potential employers.

Automation is one of the simplest uses of Python to learn because it mimics human behaviors you are already doing. Think of all the routine tasks you do in a day, and imagine writing a code that will execute them for you. You can use Python to automatically generate a report, send emails, check online prices, or verify your website is up and running properly. This 6-hour course in automation with Python shows you how to save time by automating time-consuming tasks. This course will help you with a wide variety of interests, such as social media, e-commerce, real estate, travel, or government affairs. It’s part of the Data Science Certificate at Noble Desktop, along with Python for Data Science and SQL Bootcamp. You should have introductory Python experience before taking this course.

Python automation helps you grab precisely the data you want from a website and carry out routine functions. By writing loops, your web scraping code can process a large number of pages for you. You’ll learn how to construct programs in Python and run them on a regular schedule. The course covers how to identify and fix common errors, how to write scripts that automate manual tasks, and how to update Excel files automatically using Python. You’ll get an overview of HTML and CSS, and you’ll learn to build an automated script to check prices and send alerts using Selenium and Yagmail.

Python is a powerful tool for data analysis, but your work doesn’t make a difference unless you can share your insights. This course explores the ways you can use Python to visualize data and create interactive dashboards. First, you’ll learn how to gather real-life data from different sources and perform advanced analysis using NumPy and Pandas to discover data stories. Then, you’ll compile your data stories into compelling visualizations that share your insights. In addition to traditional plotting tools like Matplotlib and Seaborn, you’ll learn how to use powerful advanced tools like Plotly and Dash Enterprise. 

Each day of this course is divided into two parts. After learning a new concept, you’ll apply it to a project with a topic of your choice (such as your professional field or another area of interest). Your instructor will help you find an appropriate data set, explain best practices, and assist with coding. You’ll be able to deploy your real-life projects online using Heroku server and GitHub, so you can demonstrate your coding and data analysis for potential employers. This is an advanced Python course, and you should have completed the Python for Data Science Bootcamp before attending. You can take this live class either in person in NYC, or it’s available live online.

If you want to update your team’s skills or reskill your workforce, Python corporate training is a great option. You can customize your training to your company’s needs and schedule it onsite at your location or live online from anywhere. If you schedule your training at Noble Desktop’s Midtown Manhattan offices, the private computer lab features up-to-date workstations that provide everything students need for the course. Alternatively, you can opt for bulk vouchers at a discount that allows your employees to enroll in scheduled courses you select on a range of topics. This allows them to choose their schedule, whether that’s weekdays, weeknights, or weekends.

You can choose from a wide range of Python courses that cover coding basics, web development, data science, automation, or machine learning, and even boot camps that focus specifically on Python for finance. Corporate training programs include comprehensive support materials like handouts, certification exam guides, and access to premium training videos. Your instructors are professionals with real-world experience and a talent for teaching the techniques and tools they use every day.

There are many programming languages and classes that you could take, so why should you take a course in Python? For starters, Python is one of the fastest-growing programming languages with around 8.2 million users.  This vast user community means you’ll have plenty of company, and a deep network of online forums, local meetups, and the open-source community where you’ll be able to learn and share. If you are a developer, there’s a good chance you’ll work on projects where Python skills are needed. Python is also one of the easiest languages to learn and use. It was designed to be concise and easy to read, with an efficient syntax that uses fewer lines of code than other languages.

Python has a large collection of frameworks and libraries that speed up your work, and it is compatible across operating systems. Python is extremely versatile and is used for diverse applications, like web development, data science, machine learning, artificial intelligence, and scientific computing. This versatility makes Python an in-demand skill and it means you’ll be able to choose from a wide variety of career options. In addition, Python is an open-source language, making it license-free and open to contributions from diverse user groups. 

Learning Python helps you advance your career as a developer or newly enter the field. If you already have a quantitative background or analytical skills, adding a specialized data science skill set can lead to a high-paying job in fields like data science, advanced analytics, or business intelligence. Employment for software developers is strong and still growing so many opportunities are waiting for people with Python skills. 

How can you learn Python?

Python is such a popular programming language that there are many resources available. You can find step-by-step lessons online that introduce the basics or explain specific tasks. This is a great way to become familiar with the capabilities of this robust language. You can also join communities online and on social media where people share what they know and answer questions. 

If you want a comprehensive education in Python and a solid set of skills that will help you launch a programming career, Python courses are a great option. They systematically cover the skills you’ll need with guidance from an instructor who’s an expert in the industry. When you’re learning Python, it’s essential to put your budding skills to use and get plenty of practice. The more you practice the better you’ll become, and building projects is a great way to improve your understanding of the language. Look for classes that incorporate real-world projects, give you hands-on practice, and help you build a portfolio of your skills. 

Which Python course should you take? 

Choosing the best Python course may seem daunting. Some courses are only a few hours and others extend for weeks. Courses may specialize in certain aspects of the language or focus on a particular application, like data science or machine learning. Choosing the right course for you depends on whether you are interested in learning Python as a hobby or for your career, and which field you’re trying to enter.

If you’re new to Python, look for a course that’s designed for beginners. You’ll want a basic orientation to the language and the logic behind it so you can start to think like a programmer. For more advanced skills, many classes will teach you to use libraries like Scikit-Learn, Numpy, and MatPlotLib. Advanced courses may focus on Python skills for particular fields like data science or finance. Look for a course with a live instructor who can answer your questions and provide feedback, and check whether you’ll be able to work on real-world projects that give you practice with Python and help you begin to build a portfolio. Python private tutoring is a good option if you’d like one-on-one sessions where you can learn at your own pace and focus on the topics that meet your goals.

What will you learn in a Python class? 

What you will learn in a Python course depends on your skill level and the way that you want to use Python. If you’re completely new to Python, you’ll start by learning about the development environment and Python syntax and structure. Then, you’ll learn to work with different types of data and variables and write control structures like conditional statements and loops. You’ll gain an understanding of blocks of code called functions and how to order data into structures. Once you understand how to use Python, you can explore the way that libraries expand its capabilities. 

Object-oriented programming is useful to know because many other programming languages use it in addition to Python. OOP allows you to write concise, legible code and create secure and reliable software. You can interact with databases using libraries like SQLite or SQLAlchemy, and you can manipulate and visualize data using libraries like Pandas, Matplotlib, or Seaborn, making your data more meaningful and shareable. If you are using Python for web development, you’ll explore web frameworks like Flask or Django and learn to create simple web applications. You can also automate tasks using Python scripts and libraries like selenium. Last but not least, you’ll learn to test your programs and use debugging techniques and tools.

By the end of a comprehensive Python course, you should be able to write Python scripts, use Python’s powerful libraries and frameworks, and develop simple applications or perform data analysis tasks.

Jobs that use Python in NYC

Python is widely used in NYC across various industries and by numerous companies, making it a valuable skill to learn. Financial firms like Goldman Sachs and JP Morgan Chase use Python for developing trading algorithms, risk management systems, and quantitative analysis, and they use Python’s libraries to process and visualize large datasets that guide investment decisions. NYC’s thriving ecosystem of AI startups relies on Python libraries like TensorFlow, Keras, and Scikit-Learn to build machine learning models and AI-driven applications. Python frameworks like Django and Flask allow them to develop robust and scalable applications quickly. 

At media companies like Spotify and The New York Times, Python’s versatility with big data makes it ideal for analyzing user data and improving content recommendations and ad targeting. E-commerce companies like Etsy and Warby Parker also use Python to develop recommendation systems for consumers. Python is invaluable for analyzing sales data, managing inventory, and predicting consumer trends using data analytics.

Python’s powerful data analysis capability is also widely used in the booming field of life sciences, where it powers bioinformatics and healthcare research by companies like Pfizer and Memorial Sloan Kettering Cancer Center, and it helps to analyze patient data and improve healthcare. Python’s simplicity and readability make it a popular choice for educational software development at platforms like Khan Academy and Coursera. Real estate firms like Zillow and Compass use Python to analyze market trends and property values, and it excels at automating tasks like property listings and data collection. 

Is a Python bootcamp in NYC worth it?

A Python bootcamp is worthwhile if you want to build your skills in this versatile and widely-used programming language. When you complete a Python bootcamp, you’ll learn essentials like basic syntax and data structures and get hands-on experience building programs. A bootcamp can help you leap forward from basic programming skills to specialties like data science and machine learning, and it often includes mentoring, career coaching, and networking opportunities. A Python bootcamp will give you the confidence to tackle real-world projects and boost your job prospects in tech-savvy cities like NYC. A Python bootcamp can be a great investment in your tech career. 

Enrolling in a career-focused Python bootcamp can help you prepare for a future career in one of several different industries. Python is heavily utilized in the field of data science, so if you are interested in becoming a data scientist or a data analyst, learning the skills you’ll pick up in a data book camp will greatly improve your chances of finding work. Since data has become such an essential part of virtually every industry, these skills are highly marketable, especially in a city like NYC where so many finance and investing firms are located (FinTech is a huge part of data science after all). In NYC, data scientists can expect to earn over $100,000 a year.

Beyond working in data science, Python is an important part of the emerging technological revolutions in machine learning and artificial intelligence. Python is utilized to write the algorithms that allow for LLMs, Chatbots and other artificial intelligence applications to operate and it is an important part of the learning process, allowing machines to read and interpret large amounts of data with the help of a human operator. It is difficult to tell what the future holds for this emerging technology, but it is certainly having an impact across a range of industries (including finance, commerce and advertising, all of which are key parts of the NYC economy). Learning how to program these algorithms is an important aspect of leveraging this technology and businesses are paying a premium for skilled Python Developers who can help them take advantage of these automated systems.

Even if you aren’t aiming for a career in Python, learning how to manipulate, collect and query data is useful for any aspiring professional looking to grow their brand, get attention to their start-up or otherwise work with investors to get a project off the ground. Learning how to use basic Python programming skills and techniques will ensure that you aren’t leaving valuable information on the table, particularly as data analysis becomes increasingly important for anyone to get an edge in the market. You don’t want to get left behind and taking a Python bootcamp can help ensure that you are able to leverage data to suit your needs.