Find & compare hands-on Data Science bootcamps available live online (virtual/remote training). We’ve chosen over 70 of the best Data Science bootcamps from the top training providers to help you find the perfect fit.
Here are some of the top Live Online schools offering Data Science training, including Noble Desktop (6 courses), Thinkful (4 courses), and Practical Programming (4 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 comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.
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.
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 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.
Flatiron offers on-site and online courses in software engineering, data science, UX design, and cybersecurity. You’ll find they are located all over the U.S. including Austin, Chicago, Denver, Houston, New York, San Francisco, Seattle, and Washington, D.C.
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.
Thinkful aims to prepare students for the world’s fast-paced and job-competitive fields in software engineering, data science, data analytics, and design. Its course are held online, and it hosts events at its locations across the U.S. including California, Texas, Chicago, Florida, Washington, Denver, Boston, and Philadelphia.
Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.
Data Science Immersive is a 5-month full-time program that will prepare you to be a data scientist. You don't have to pay anything until you receive a job that is more than $40,000. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.
Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.
Data Analytics Immersion is a 4-month full-time program designed to get you a job as a data analyst. You won't have to pay until you get a job making at least $40,000. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project.
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 data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.
This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.
This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.
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 data science bootcamp offers the ability to learn online with a 16-week full-time schedule or a 24-week part-time schedule. Students will learn how to use tools such as Python, R, Hadoop, and AWS to facilitate data visualization and analysis, machine and deep learning, and building statistical models. This program culminates in a professional capstone experience.
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.
Ironhack is an international tech school located on nine campuses including Miami, Madrid, Barcelona, Paris, Berlin, Amsterdam, Mexico City, Lisbon, and Sao Paulo. Ironhack offers a variety of bootcamps and immersive courses both online and onsite in web development, UX/UI design, and data analytics.
The Remote Data Analytics Bootcamp is a 9-week full-time program that will start by teaching you the basics of MySQL, Python, and Git. Once you've mastered the basics, it will introduce web scraping, API, and data cleaning concepts. Afterwards, you will learn about inferential statistics, probability, topics in business intelligence. Finally, the course will teach you how to build, train, and evaluate supervised and unsupervised machine learning models. You will complete three projects after each module and showcase your last project to your peers in a "Hackshow".
The Remote Data Analytics Part-Time Bootcamp is 24 weeks long that will start by teaching you the basics of MySQL, Python, and Git. Once you've mastered the basics, it will introduce web scraping, API, and data cleaning concepts. Afterwards, you will learn about inferential statistics, probability, topics in business intelligence. Finally, the course will teach you how to build, train, and evaluate supervised and unsupervised machine learning models. You will complete three projects after each module and showcase your last project to your peers in a "Hackshow".
Located in Washington and Singapore, Data Science Dojo offers both in-person and online data science certificates and bootcamps. Data Science Dojo provides courses in data engineering, online data science for managers, internet of things boot camp and corporate training on-site.
Online Data Science Certificate is a 16-week comprehensive that will teach you teach you the entire data science workflow from start to finish. The program will start with data cleaning, visualization, and exploration concepts. Afterwards, it will teach you how to use various predictive algorithms and how to evaluate their performance. It also introduces boosting, ensemble, ranking, and linear regression methods that are important tools for data scientists. Finally, you will have an opportunity to use your knowledge and deploy your models using a dataset from Kaggle competitions.
This 10 week online course provides a broad overview on how data science should be incorporated in your business why it matters. It starts by explaining why the quality of your data matters then teaches you about how analysts extract insights from data. It discusses how managers should select which metrics to focus on to measure success depending on the type of data you have on hand. Once the basics are covered, it teaches you about machine learning, big data, and data ethics that managers and business leaders should know about.
Lambda School offers online live courses in data science, back end, and full stack in a 900-hour robust course. Similar to a 4-year degree and much more in-depth than a typical 12-week boot camp, Lamda graduates understand all aspects of computer science.
This course has five sections that cover analyzing data, building systems and predictions, and communicating insights. The first half of the course includes instruction in Statistics Fundamentals, like data wrangling and linear algebra, Predictive Modeling like linear models and data visualization, and Data Engineering with SQL, productization, and cloud. The second half teaches Machine Learning with natural language processing and neural network foundations, and Computer Science, with Python and OOP, algorithms, data structures, graphs, and hash tables.
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You have several options when it comes to learning Data Science, so we’ve chosen 74 of the best Live Online bootcamps from the top 39 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 Data Science 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 Data Science, there’s no need to fear. We’ve found 48 beginner courses, with costs ranging from $373 to $27,500. The top options open to beginners include:
Note that beginner courses still typically assume basic proficiency with computers.
Already comfortable with the basics of Data Science 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 Data Science training, we’ve found flexible scheduling options, including weekday, evening, and weekend courses.
Also note, 6 courses we’ve found require a full-time commitment. These courses are “career-changer” courses that typically span over several months and require 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. They also typically require a large financial commitment, although many provide payment plans and financing options. Full-time courses include:
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
With Data Science 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 Data Science topics section) to focus directly on one of the subcategories.
When learning Data Science, you can attend a course or program that dives comprehensively into Data Science or focuses on a particular topic, including Python Data Science, SQL, or Machine Learning.
If you’re committed to learning Data Science comprehensively, we’ve found several courses that can help you achieve that goal.
Within Data Science, you can focus your learning on a specific topic, including Python Data Science, SQL, Machine Learning, Python Machine Learning, and R Programming. Each one of these topics will directly enhance, supplement, or support your learning in Data Science. To see how each topic relates to Data Science and to focus your learning on any subcategory, see the subtopics section above.
For a quick overview, here are some popular classes:
When learning Data Science, there are a variety of learning goals you can achieve, including learning Data Science 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 Data Science and ready to spend 18 hours to 114 hours to master Data Science, these classes will help achieve that goal. With prices ranging from $975 to $4,500, 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 Data Science 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 Data Science 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 Data Science 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 Data Science. 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 $60,229) 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).
Data Science is an in-demand skill that is essential for a variety of career paths. Here are some popular positions listing Data Science 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 Data Science 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 Data Science training varies by school, duration, method of delivery, and several other factors.
For live online training, prices range from $3/hour to $113/hr.
See the Data Science pricing analysis section to compare course fees.
For Data Science corporate and on-site training, contact us at (212) 226-4149 or hello@nobledesktop.com 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 Data Science bootcamps by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at hello@nobledesktop.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.
Data science is a growing field because companies continue to collect large amounts of data that they need help interpreting. A data scientist cleans data, forms hypotheses, and creates models to help make sense of the data. Data science requires knowledge of mathematics, programming, and business, and for this reason, is highly in demand and well-compensated.
A data science bootcamp gives students a foundation to start a career in data science, data analytics, or machine learning. Data science bootcamps vary in terms of curriculum. However, generally they prepare students to start using scientific methods, math, algorithms, and systems to gather information from large quantities of data. Most data science bootcamps teach Python, automation, and how to analyze data with Pandas, NumPy, and query databases with SQL. Students use machine learning to apply regressions and other statistical analyses to create predictive models.
Because most of the decisions that are made by large corporations are data-driven, companies will continue to hire data scientists to help them make sense of the large amounts of data they collect. But data science isn’t only being used for business. Data science jobs are found in healthcare, research, marketing, government, and more. Data scientists also work as machine learning engineers and data engineers. The average data scientist makes over $100,000 per year while a machine learning engineer can make closer to $150,000.
Data science bootcamps prepare participants to start a career in data science though some do have prerequisites. Because data science requires mathematical understanding of machine learning and automation, employers often expect data scientists to have a degree in computer science or a related field. Only some bootcamps require degrees. Data science bootcamps are designed for career changes and are a great choice for someone who already works with data in their current career.
Live online Data Science bootcamps are a great alternative to in-person bootcamps as they have virtually all the same benefits: they are live, interactive, and hands-on like in-person training. However, the bootcamp can be taken from anywhere that has a reliable internet connection. In live online bootcamps, students ask questions in real-time and, with permission, the instructor can access their screen in order to monitor progress or help with any questions.
Noble Desktop, the creator of this tool, offers several live online options. In the Data Science Certificate, students learn Python programming fundamentals, how to analyze data, to read and write complex queries, and how to use Python to aggregate, update, and format data in 84 hours. Students learn the necessary programming skills to manipulate databases and perform various levels of analysis on the data. The Data Science Certificate prepares students for entry-level data science and Python engineering positions.
Noble Desktop also offers a 30-hour Python for Data Science Certificate that gives students practice with foundational programming concepts like loops, functions, and objects. This is a hands-on course in which students 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. For more information about the topics covered in the course, please refer to our syllabus below.
Metis, General Assembly, and Flatiron all offer 3-month data science bootcamps designed to prepare students to begin careers in data science. These are designed for participants with a background in math and some familiarity with Python programming. Students learn Python programming fundamentals and programming tools such as GitHub as well as programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools.
Galvanize also offers a 13-week, immersive data science bootcamp that is divided into four modules. For a shorter time commitment, Data Science Dojo offers a 5-day, hands-on Data Science Bootcamp in which students learn data wrangling, visualization, probability, statistics, machine learning, experimentation design, and data mining.
While some bootcamps require a degree in computer science or a related degree that provides a mathematical understanding of machine learning and automation, a live online Data Science class is an excellent choice for those who are interested in data science but are not yet sure how far they want to go with it. Data science classes are a good fit for those who are not quite ready to commit to an entire bootcamp but want to start learning about data science.
Noble Desktop offers students several choices for classes related to data science. Students can take the hands-on SQL Level 1, an 8-hour beginner class that provides students foundational skills related to Relational Database Management Systems (RDBMSs), SQL code, and Microsoft SQL Server. Once students have mastered the Level 1 course, they might be interested in SQL Level 2, an intermediate course that focuses on using SQL to analyze data.
Students find data that meets their specific search criteria using views, subqueries, math functions, and logic statements. Python for Animation is a 6-hour course designed for students who already know some HTML/CSS. The class focuses on how to automate time-consuming tasks using Python, such as gathering data from the internet.
Byte Academy offers a 35-hour Intro to Data Science over a 4-week period that introduces students to data science basics. It covers Python, object-oriented programming, and data structures.
There are several factors to consider when choosing a coding bootcamp. Generally, data science bootcamps are hands-on learning experiences in which students acquire a solid base in a short period of time. It is important to note, however, that while some data science bootcamps are designed with the beginner in mind, employers often require a degree in computer science or a related field. Data science bootcamps are a great fit for those with a math or technology background and career changers who already work with data in their current job.
Most data science bootcamps teach Python or R, SQL, automation, and basic machine learning. Data science bootcamps range in cost between $7000 and $20,000 and last between a few weeks to a few months. Some bootcamps that have a more in-depth machine learning focus, for example, are often longer. One of the additional advantages of taking a bootcamp is the job support that is often included in the program. Some programs offer job mentoring while others even offer job guarantees. Many of the bootcamps offer payment plans, monthly payment plans, and income share agreement payment options, which means students don’t pay until after they have worked at a job for a certain period of time. Students can also look into scholarships and employer reimbursements.
If you’re interested in Data Science, 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.