Here are some of the top Live Online schools offering Python training, including Noble Desktop (6 courses), Practical Programming (4 courses), and SIT Academy (3 courses).
For in-person Python courses, please check these locations:
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.
Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling.
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.
This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.
This 1-week Python Immersive is geared towards beginners with no prior coding experience and meant to give students a fundamental understanding of Python to start coding on their own. Students will learn best practices for coding with Python, work on exercises and programs in Python, and conclude with 2 projects of their own.
Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.
This Python for Finance Immersive course gives students a deep understanding of the use of Python for data extraction, analysis, and visualization. Throughout the 30-hour program, the students will work with NumPy, Pandas, Matplotlib and other scientific libraries as they learn how to pull and process data. Students will graduate with hands-on experience working with Jupyter Notebook, having completed small projects using Python to analyze data. This program is open to beginners, with no requirement for experience in advanced mathematics or coding.
NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
This course provides an introduction to the use of Python programming language for data analysis. Python, through the use of list and string manipulation, control structures, and data analysis packages, can be used to manage and analyze large sets of data. In this course, you will learn how to use Scipy, Numpy, Pandas, Seaborn and matplotlib to analyze data and create visualizations. This course has 4 units, covering list manipulation, strings and simple I/O, control structures and data analysis packages. IPython notebook is also used to show how codes and change codes are used during class.
This Python machine learning course teaches machine learning methods and modules with the Python code designed to implement them. The units of this course explain simple and complex linear regressions, classification methods for logistic regression, discriminant analysis, and naïve Bayes, support vector machines and tree-based methods, regularization strategies, and how to use clustering algorithms. Completion of this 20-week course will prepare students to use machine learning algorithms to analyze complex datasets and make logical predictions.
ONLC has over 300 training sites and offers courses and certificates in many areas including desktop applications like Adobe, Microsoft Technical like Visual Studio, Server and Security, and Process and Programming like Java and Web Development.
This 3-day introductory Python programming course is designed for students with no prior programming experience and are looking to get comfortable with basic skills needed for Python programming. The course will cover foundational Python concepts, including data types, control statements, using functions and modules, handling exceptions and debugging programs, working with lists, and how to work with a variety of data types. By the end of the course, students will be familiar with writing programs for simple applications.
BrainStation is an intensive training provider focused on teaching digital skills and offering full-time diplomas, part-time certificates, and other forms of expertise in time frames of one to twelve weeks. BrainStation believes there are different styles of learning and therefore adopts flexible learning options like Online Live, where students can learn virtually.
This certificate program offers an introduction to Python programming. With online and on-campus options, students will learn from expert programmers. The curriculum will begin with syntax, data types, and operators before moving on to more advanced data types and the fundamentals of algorithms. Students will also learn about data manipulation and Python utilities.
General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
This beginner Python course is a flexible program meant to get complete beginners comfortable coding with Python. With a blended learning model, students will gain access to pre-learning and setup videos to hit the ground running. Students will learn to code with Python with a hands-on approach, building Python programs, and working with data. This course covers key programming concepts like object-oriented programming as well as data science fundamentals and culminates with a project creating an API to pull in 3rd party data. This 40-hour program can be taken in-person in NYC or live online over 1-week (full-time) or ten weeks (part-time).
Blockchain, digital currencies, and smart contract platforms are covered extensively in this course. Students learn how to interact with blockchains manually, basic cryptography, such as hash functions and discrete logarithms, and learn about keys, wallets, addresses, and transactions. Also addressed is ensuring secure transactions, mining work, Ethereum, Solidity, and interaction with smart contracts.
Students learn Python fundamentals in this class. Topics include variables, data types and structures, control flow, functions, modules, and objects. Also taught are concrete applications, such as analyzing and visualizing data, accessing data from web services such as Google maps API, creating a unique app, accessing SQL databases, and generating automated reports.
In this course, students learn how to convert business problems into machine learning problems, define requirements for a ML problem, including KPIs, using an ML canvas, and create different ML pipelines. Students also learn about data transformation, feature engineering, hyper-parameter tuning, loss functions, and cross-validations on regression and classification tasks. Additionally, students design and solve several ML cases regarding predictive maintenance, churn prediction, and customer segmentation.
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Upskill or reskill your workforce with our industry-leading corporate and onsite Python training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment Python courses.
You have several options when it comes to learning Python, so we’ve chosen 22 of the best Live Online bootcamps from the top 10 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 bootcamp still isn’t that easy.
Here are the key questions you should ask yourself before enrolling in a Python bootcamp. 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 19 beginner courses, with costs ranging from $371 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 or focuses on a particular topic, including Python Data Science, Python Programming, or Python Machine Learning.
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, 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.
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 $12/hour to $197/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 bootcamps 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.
Learning Python sets you up for meaningful work in two specific fields: development and data. Developers focus on building websites or software and use Python and its frameworks to build both the front and back end of websites. Data careers rely on Python to analyze data, make predictions and valuable insights, and build data systems.
Python is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.
If you’re interested in Python, you might also be interested in these bootcamps:
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.