Find & compare hands-on Python courses available live online (virtual/remote training). We’ve chosen over 50 of the best Python courses from the top training providers to help you find the perfect fit.
Learn Python as part of a comprehensive program or bootcamp. These programs teach a variety of skills including Python and are typically geared towards preparing you for a new career.
This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.
This online data science program is meant to get students ready for a career in data science. The program covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. Students will also receive career coaching and job support during the program for help finding a job in data science. The online program offers flexible scheduling options, including full-time over 5 months, part-time over 10 months, and self-paced for up to 15 months.
This cybersecurity online course is designed to teach students the skills they need for a career as a security analyst, consultant, or a tier 1+ SOC analyst. This intensive program covers network and system administration, strategy and analyst for threat intelligence, security intelligence and event management, and more. The program culminates with a capstone project that pulls together many of the skills learned in the course. This program includes career coaching and job support to help you land a job in cybersecurity. The online program offers flexible scheduling options, including full-time for 4 months or part-time for 8 months.
Become an Information Security Analyst or Cybersecurity Engineer. Gain a technical foundation in Linux, Python, computer networking, AWS, and web application architecture and learn professional cybersecurity tools and solutions.
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Here are some of the top Live Online schools offering Python training, including Noble Desktop (11 courses), Practical Programming (8 courses), and City Lit (5 courses).
Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
In this FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.
Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. After completing this certificate, students will be able to apply for the following roles: Python Developer, Back End Developer, Software Engineer, and many more.
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 data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.
In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.
PCATT is a non-profit consortium providing technology training to Hawaii residents since 2001. Training is held at community colleges throughout the Hawaiian Islands as well as live online.
This course takes students from beginner level to PCEP Certified Entry-Level Python Programmer. The PCEP Certification Exam is included with training.
Programming Essentials in Python (PCAP) prepares intermediate-level students for the next level of Python expertise after PCEP. The course includes the PCAP Certified Associate in Python Programming Exam.
Media Training Ltd. offers training in several digital media technologies and methodologies. Students can learn skills for subjects including graphic design, Adobe Captivate, Apple Final Cut Pro, and WordPress.
This course is meant to show students the basics of programming with Python. Topics covered are programming basics, numerical operations, and how to create functions
The London Academy of IT is a web design, technology, and data management school found in the eastern portion of London. This school provides both online courses and in-person courses.
This beginner-friendly Python class prepares new programmers to start coding with Python. Topics covered include built-in functions, variables, loops, and containers.
City Lit offers thousands of courses that allow adults to explore a new career or hobby. These courses are available in-person in London or live online.
This class introduces the coding language Python. Students will complete the course knowing how to write Python scripts, handle errors and exceptions, manage Python code libraries, use flow control structures, and more.
This class teaches programming fundamentals including technical vocabulary and programming basics with Python. Students will learn how to produce simple programs by programming sequences, using variables and data types, processing data, performing calculations, and more.
This course teaches students about Object Oriented programming (OOP) in relation to Python. Students will learn how to define OOP, implement an OO model in Python, utilize test-driven development, and use closures and generators.
This intermediate class covers creating reusable code, advanced data structures, and graphical interfaces. Students will learn how to build sub-routines, create code libraries with Modules, use lists and dictionaries, and produce programs for Windows, Linux, and Mac.
CodeClan is Scotland’s most prominent tech education school. By offering courses in software development and data analysis, CodeClan helps students prepare for a career in the digital economy.
This course is designed for beginner programmers who want to understand foundational coding concepts. Students develop skills in essential programming concepts, such as variables, terminal commands, data types, functions, and libraries.
Students in this course train in the foundations of using Python for Data Science. Beginners gain experience with the essentials of programming in Python, using Jupyter, and working with Pandas.
Kebel IT Trainings has offered vocational training in computer technology for over a quarter century. Their course catalogue includes classes in Adobe, Microsoft Office, and computer programming available at the school's four main campuses, at partner locations throughout Germany, and live online.
This course introduces Python to programmers. Participants learn the elementary mechanisms of Python as they use it as an object-oriented language. They will look at the development environment of Python and the data types, lists, dictionaries, and control structures.
This course introduces Python to novice programmers. Participants will learn the mechanisms of this programming language. They will also learn the language's data types, lists, dictionaries, user control, and modules.
Short for IT Training Academy, ITTA offers Swiss students French-language training in digital media, programming, project management, office IT, and other digital and professional skills. Students can study in-person in Geneva or Lausanne, or live online.
As students learn the basics of Python in this course, they will develop the ability to work with strings and sequences, and to perform math operations. They will also learn to write functions, to manage exceptions, and to begin working with object-oriented programming.
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You have several options when it comes to learning Python, so we’ve chosen 58 of the best Live Online courses from the top 27 training providers to help you make your decision. But even so, with the variety of considerations including cost, duration, course format, starting level, and more, choosing the perfect course still isn’t that easy.
Here are the key questions you should ask yourself before enrolling in a Python course. We hope you’ll find the best option based on your learning preferences and goals.
Enrolling in the right skill level is pivotal. Skipping over prerequisites can leave you confused, while choosing a course too easy will waste your time and tuition dollars.
If you’re new to Python, there’s no need to fear. We’ve found 40 beginner courses, with costs ranging from $110 to $4,995. The top options open to beginners include:
Note that beginner courses still typically assume basic proficiency with computers.
Already comfortable with the basics of Python and feel ready to move to an intermediate or advanced class? Consider the following courses which all require some prerequisite knowledge:
Live Online training is synchronous training where participants and the instructor attend remotely. Participants learn and interact with the instructor in real-time and can ask questions and receive feedback throughout the course. Instructors can remote into students’ computers (with prior permission) to assist with class exercises and any technical issues. The courses are hands-on and interactive like in-person training.
You can attend the course from your own home or office. This option works best for those without easy access to a nearby facility, and it has become increasingly popular during COVID-19.
If you attend a virtual training from your home or office, you’ll need a computer with strong internet access and any relevant software installed prior to the course. Most schools provide setup instructions before the course, and some will provide direct assistance.
The instruction takes place via a teleconferencing software like Zoom, Webex, or GoToMeeting, and some schools have their own learning portals.
It’s crucial to find a course that fits your schedule. For live online Python training, we’ve found flexible scheduling options, including weekday, evening, and weekend courses.
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
With Python encompassing so many verticals and subtopics, it could be challenging to find what you’re looking for. We’ll help you break down the subcategories and related topics (see the Python topics section) to focus directly on one of the subcategories.
When learning Python, you can attend a course or program that dives comprehensively into Python, provides a brief introduction into Python, or focuses on a particular topic, including Python Data Science, Python Programming, or Python Machine Learning.
There’s a lot to learn within Python, and if you’re trying to get a broad overview, a sense for the industry and job prospects, and the types of things you would learn in a Python course, these introductory courses are a good place to start.
Within Python, you can focus your learning on a specific topic, including Python Data Science, Python Programming, Python Machine Learning, Python for Finance, and FinTech. Each one of these topics will directly enhance, supplement, or support your learning in Python. To see how each topic relates to Python and to focus your learning on any subcategory, see the subtopics section above.
For a quick overview, here are some popular classes:
When learning Python, there are a variety of learning goals you can achieve, including learning Python comprehensively, gaining a broad introduction to Python, getting started, adding to existing skills, or embarking on a new career path.
To find the perfect fit for you, it’s important to determine what your training goals are. Here is a breakdown of the variety of courses and learners.
For those who are committed to comprehensively understand Python and ready to spend 15 hours to 114 hours to master Python, these classes will help achieve that goal. With prices ranging from $1,495 to $4,995, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.
Learning Python comprehensively can be a large financial and time commitment. If you’re not committed quite yet, or just want to learn about the field or subject, these courses can give you a high-level overview to help inform larger decisions. Note that most of these courses tend to be broader and less hands-on.
If you know you need to get started in Python but you’re not quite committed to learning it comprehensively, these courses will get you started with hands-on skills you can use right away. Many schools offer the ability to continue learning with intermediate-to-advanced courses, and some offer package discounts. All these courses are open to beginners.
For those with some familiarity with Python looking to advance or add to their skills, these courses provide those with experience the perfect opportunity to skill-up. All these courses require prerequisite knowledge, and we’ve included a brief note for many of them, but you should check with the school for more details on the entry requirements.
You’re not only committed to learning Python comprehensively, but you’re hoping and ready to break into a new career. While securing a new career is not guaranteed, these courses provide in-depth training in Python. Many offer job support and some offer a money-back guarantee. Job support typically includes resume writing, help with job applications, portfolio building, and career counseling, but the services vary by provider.
Applications are typically required and many also require remote prework to build essential concepts before the more intensive “live” training. And due to the steep prices (some courses as high as $12,995) many programs provide financing options. See financing notes below but always be sure to confirm with the school and read the terms and conditions. Not all applicants are admitted and approved for financing.
Here are several “career-changer” programs. All the programs include career services (see the provider’s website for details on what is included).
Python is an in-demand multi-purpose programming language used across data science, machine learning, software development, and more that is essential for a variety of career paths. Here are some popular positions listing Python as a skill and the average national salaries according to Indeed as of August 2020.
See the careers section for more information about the top related careers and salaries, and visit the career pages for detail on skill requirements, day-to-day work, compensation, tips, and more.
Some benefits of live online Python training include:
While there are several benefits to live online training, there are a few important things to consider. You should make sure you have a quiet workplace with strong internet access. Additionally, you should have the necessary applications installed prior to class and your computer should meet any system requirements. To ensure a seamless learning experience, some schools provide remote setup support and Zoom tutorials upon request prior to the course.
Pricing for Python training varies by school, duration, method of delivery, and several other factors.
For live online training, prices range from $11/hour to $221/hr.
See the Python pricing analysis section to compare course fees.
For Python corporate and on-site training, contact us at (212) 226-4149 or firstname.lastname@example.org to receive a quote and free consultation. We can customize the curriculum to meet the needs of your team.
See the tuition comparison below to compare Python courses by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at email@example.com for a quote.
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Disclaimer & Notes: Hourly rates are estimates only. Courses are not available on an hourly basis. Several other factors that contribute to pricing (such as job support and free retakes) are not factored into pricing per hour. 1 day is estimated to have 6.5 hours of training; 1 week is estimated at 35 hours; and 1 month is estimated at 150 hours. Actual hours will vary by school. Course pricing is subject to change without notice, certain discounts may not be included, and pricing may vary by location.
Python is a general-purpose programming language used for data science, machine learning, website programming, software development, FinTech, and more. According to the TIOBE index, which charts the use and popularity of programming languages, Python is the most popular programming language in the world, as it has been for several years running. One of the reasons for Python’s popularity is the ability to access a diverse set of libraries and frameworks. The career path you choose will determine with libraries and frameworks you’ll encounter, including libraries centered around image manipulation, data visualization, array processing, neural networks, and many others.
Python’s popularity has made it the default programming language in a wide range of professional contexts. Python is built for readability and portability, making it an excellent choice for new programmers looking to pick an accessible, versatile language as their first. In addition, given its massive popularity, there is a huge community of Python developers who regularly program new libraries and frameworks, produce beginner-friendly resources, and build generic code that new users can utilize to become more familiar with Python. If you are interested in learning more about computer programming but aren’t sure where to start, learning Python can be an ideal first step.
Python is most commonly associated with data science and data analytics tasks because it is an important language for working with databases. Python code allows programmers to easily collect and clean data, organize it in large databases and query that data for future analysis. This makes the language vital to all of the common tasks of professional Data Scientists and Data Analysts. Learning to use Python will help professionals identify trends in data and make informed decisions based on these trends. Data science is quickly becoming the norm in almost every major industry and field, so learning Python can help you find a job in virtually any field. These skills also apply to several important data science sub-specializations that are quickly becoming central to the operations of their respective industries.
One of the most exciting recent Python developments is the advances that are being seen in machine learning and artificial intelligence technologies. Machine learning is the process of writing complex algorithms that can read and interpret data without the need for a human operator. This allows machines to create the appearance that they are ‘learning’ from this data and make interpretations and predictions based on what they have learned. This technology is currently most commonly used in content recommendation systems, such as the ones that recommend users products on Amazon or shows on Netflix based on prior viewing histories. However, as the technologies surrounding machine learning develop, the potential future applications are among the most exciting aspects of computer science today. Machine learning technology has the potential to revolutionize fields such as diagnostic medicine, investment analysis, government planning, and online content production. Machine learning is a cutting edge aspect of Python development that interested students should consider learning.
One field that has been rapidly adapting to the development of new Python applications is the financial industry. Financial Technology (or FinTech) is a growing field of Python development that focuses on the ways in which data science technology can be applied to investment banking, accounting, business analysis and other elements of the financial sector services industry. Increasingly, brokers and consultants are relying on data analysis and artificial intelligence algorithms to interpret huge swaths of data and identify market trends or make predictions based on this data input. This is vital for taking the guesswork out of investing, and while it won’t ensure success, it will help analysts make correct decisions more consistently and generate better long-term ROIs. If you want to work in the financial services industry or you just want to improve your own personal investment strategies, learning Python is a good step to take.
While Python is most frequently associated with data science, it is also an important programming language for software and digital application development. Since Python is used to build and query databases, any back end programming project is likely to benefit from a knowledge of it. Python and its major libraries (like Django) are used to develop the APIs and databases that serve as vital infrastructure for web development and software engineering projects. Python isn’t the only major programming language you’ll need to know to build your own software applications, but learning Python for software development is a good way to improve your career opportunities if you plan to work in any of these fields. Python is also frequently used in back end programming projects for game design and development since databases are an important part of the infrastructure of these applications.
Students interested in Python’s data science applications may seek work as Data Scientists or Data Analysts. Data Scientists work to create the Python applications that are used to collect, clean, organize and analyze data. They are responsible for building the infrastructure that undergirds the big data industry. Data Scientists need a firm understanding of computer science, Python programming and statistical analysis to work with massive, theoretical datasets. Data Analysts take the applications and theories developed by Data Scientists and apply them to real-world case studies. Data Analysts are hired by firms, organizations, agencies or corporations to look at specific datasets (ranging from customer web traffic to advanced sports analytics) and make recommendations to stakeholders based on their findings. They can find work in various industries (in the public and commercial sectors), as more and more firms and agencies are realizing the benefits they stand to gain from building a robust data analysis team. In the US, Data Scientists earn an average salary of $125,000 annually, while Data Analysts earn an average annual salary of $70,000.
Students who want to apply these skills to FinTech-related careers may want to consider finding work as a Financial Analyst or Investment Analyst. These professionals are tasked with using data science techniques and FinTech tools to analyze market behaviors, and public financial institutions to offer recommendations to employers and clients about how to best spend and invest their money. Financial Analysts are usually hired by firms to manage single large accounts and datasets. They look at a company’s financial records and make recommendations concerning how that company should consider using its financial resources. Investment Analysts use FinTech tools to make informed decisions about long-term investment strategies for organizations, companies, and individual clients. They will use tools to chart the movement of stock and asset markets and determine how to provide their clients with solid ROIs consistently. In the US, Financial Analysts earn about $72,000 annually. Investment Analysts earn about $78,000 annually.
Machine Learning Engineers are rapidly becoming some of the most in-demand employees across various industries. They are responsible for building and teaching the machine learning algorithms that companies, government agencies, and other institutions utilize to better understand the immense amounts of data they engage with every day. Machine learning is a cutting-edge technology that has the potential to revolutionize industries and public services, meaning that companies and institutions are eager to be the first to develop and leverage these algorithms. Machine Learning Engineers will need specialized training and they will need a strong background in statistical analysis and computational mathematics to succeed in the professional world, but they are well compensated for their services. In the US, the average annual salary for a Machine Learning Engineer is $150,000.
Learn more about the careers and salaries you can achieve by learning Python.
Students who want to learn Python and set themselves up for future success may want to consider professional skills training. With live online Python training, you can learn this in-demand programming language from anywhere. You’ll interact with the instructors in real-time and work on a variety of hands-on projects. The cohort style of live online training also helps students to stay engaged and on track to complete the course. These advantages make learning online an ideal way to pick up valuable career skills without having to commute to an in-person training center (if you even live within commuting distance of a training center).
Several schools, including Noble Desktop, the provider of this tool, offer live interactive Python courses to help you meet your goals. Noble offers three flagship certificates taught by experienced professionals that cover Python extensively: Data Science Certificate, Python Developer Certificate, and the FinTech Bootcamp. It also offers shorter courses to get you started, including the Python for Data Science Bootcamp. All Noble classes include a free retake and a guarantee that you’ll learn the skills covered in the syllabus, subject to terms and conditions.
In Noble Desktop’s Data Science Certificate program, students will learn how Python is utilized in data science and analytics projects. This course aims to teach students how to use Python to wrangle, organize, store, and query data. In addition to basic Python fundamentals, students will learn to use important Python libraries and frameworks, including NumPy, Pandas and Matplotlib. This course also introduces students to the foundations of machine learning algorithms. By the end of this immersive, career-focused program, students will be prepared to start working as Data Scientists or Data Analysts.
Students seeking more focused instruction may consider enrolling in Noble’s FinTech Bootcamp. This course focuses on using Python and data analysis in the financial sector, emphasizing business analysis and investment management. Students enrolled in this course will learn the fundamentals of using Python for data science projects, automated data collection and collation, and machine learning engineering. Students will also work on specific case studies that teach them how these skills can be applied to financial and investment concerns, and the course will teach students how to model financial data and apply their Python skills to investment analysis. This is an ideal course for students looking to become professional FinTech experts or who are looking to manage their own financial and investment portfolios better.
These courses are taught by expert instructors who are prepared to help guide students through learning Python. Students can ask questions and receive personalized feedback and assistance in real time, making it far easier to learn Python than if they were attempting to teach themselves the language. Students enrolled in Noble’s career-focused certificate programs will also be able to take advantage of several professional development opportunities. Since these classes aim to help students find new jobs upon graduating, Noble provides students with portfolio-building seminars and one-on-one career mentorship seminars to help them in the job search process.
Other schools, including NYIM Training, Practical Programming, NYC Career Centers, BrainStation, and NYC Data Science Academy, offer multiple courses and bootcamps. Much like Noble Desktop, these schools offer in-person and online courses and are taught by industry experts. These other schools also offer short subject-specific courses and longer-form bootcamps to best meet the needs of students.
Since Python is so versatile, you’ll want to be sure to choose a course that meets your goals, whether you’re aiming to change careers or learn the basics for your current job. So when choosing a live online Python course, you’ll want to focus on the subject and the course duration. Data science, FinTech, Python development, and machine learning courses may have some degree of overlap between them, but they will focus on distinct elements of Python as a programming language. Thus, if you are interested in machine learning, you can’t easily enroll in a Python software engineering course and get the same result.
Students will also want to consider their own programming background and level of engagement with computer science before enrolling in a program. Some courses are designed with novice programmers in mind, while others expect students to have a solid grasp of advanced computer science concepts. This is especially true of a programming language like Python, which is both a beginner-friendly language for first-time programmers and a robust language that experts can tailor to their specific needs.
If you’re committed to learning Python, check out the best live online Python bootcamps. These programs are longer, cover python in greater depth, and are suited for individuals looking to launch or transition their careers. Most will offer students lessons on the basics of programming with Python.
The New York Data Science Academy offers live online Python training courses for students to consider. These courses include their flagship Data Science Bootcamp, which aims to teach students the practical Python skills they will need to find work as Data Scientists or Data Analysts. This class focuses on real-world case studies in the business applications of data analytics, and machine learning, and students enrolled in this course will complete a capstone project that they can use to demonstrate their proficiency in Python.
Brainstation offers a Python Course that aims to provide students with an introduction to the programming language. This beginner-friendly course is a solid place to build a foundation in Python, and lessons cover the basic syntax of the language, the structures of Python databases and the program’s application in data analytics projects. Students will learn the basics of Python programming, and receive instruction on the myriad of different ways they can develop their Python skills with additional professional instruction.
WeCloud Data offers full- and part-time Data Science and Big Data Bootcamps for students learning Python data science skills remotely. This course will teach students how to use Python, SQL, Amazon Web Services, and other online data-gathering tools to build complex and productive databases to query and analyze. Then, students will learn how to use Python applications to draw practical insights from these data sets and how to apply their training to machine learning projects. This course aims to prepare students for entry into the job market and has six months of career mentorship sessions.
Flatiron School offers a Data Science Bootcamp that aims to prepare students of all skill levels for careers in data science. This course covers using Python for wrangling data and querying it from databases and teaches students the foundations of Python data analytics. The course emphasizes machine learning algorithms in its curriculum, and students will learn the basics of building, training, and testing complex AI systems. The program concludes with a practical capstone project that students can use to complement their job materials.
Constructor Learning teaches a remote instruction Applied Machine Learning course for students looking to learn the practical applications of machine learning algorithms. In this class, students will program machine learning algorithms designed to address real-world business problems and spend time quality-testing those algorithms to ensure that they read and interpret data properly. Students will also learn how to identify bias in a machine learning algorithm to ensure the system's output is reliable.
General Assembly offers a flexible, beginner-friendly Python Course for students looking to learn database fundamentals. In this class, students will learn Python programming basics and the fundamentals of database design and maintenance. This course aims to give students a practical introduction to Python programming and data analytics practices. Students will receive hands-on training in real-world case studies, and this course will set students up for success in further, more specialized Python training courses.
Students looking to learn the basic skills needed to become comfortable with Python may consider a course such as ONLC Training Center’s Python Programming Level 1: Introduction for Non-Programmers Course Outline. This course is designed with novice programmers in mind and will provide students with step-by-step guidance on building their first basic Python application. This course serves as a general introduction to computer programming and provides students with foundational Python training.
Since Python is such a robust and versatile programming language, each class will cover different elements of the language. Python for data science courses focuses on data analytics, regression, machine learning, statistics, predictive analysis, and more. These courses teach libraries, including NumPy, Pandas, Matplotlib, Sci-Kit, and more. If data science is your passion, check out the best live online data science classes.
Regardless of industry, Python is a helpful skill for the employees of almost any business. Whether you are looking to better maintain your company's databases or you want to train your employees in advanced data analytics techniques, Python’s versatility can help improve your business. Virtual Python training is available from Noble Desktop for companies looking to train their employees. You can send participants to regularly scheduled group classes held virtually or schedule a private session for your team. All of Noble’s Python training programs are available, and we are more than happy to work with you to structure a custom course to fit your needs. Noble also offers group discounts on registration in all its open enrollment courses for businesses looking to provide their employees with the chance to learn Python at their own pace. For more information about corporate training, please email Noble Desktop at firstname.lastname@example.org.
If you’re interested in Python, you might also be interested in these topics:
For registration assistance and a list of partners and affiliate schools, see the Partners Page. Neither Classes Near Me (“CNM”) nor Noble Desktop is affiliated with any schools other than those listed on the Partners Page. The information provided on CNM for all schools is intended to provide information so that you may compare schools and determine which best suits your needs. The information provided is not updated regularly, so you should go to the schools website directly to verify their continued offerings. Neither CNM nor Noble Desktop can assist with registration for non-partner schools.