WeCloudData offers a number of options to those seeking instruction in data science, including a diploma program and a learning path composed of sequential courses in multiple areas of the discipline. The diploma program is a full-time, six-month course covering all tools and technologies in data science, including Python, SQL, machine learning, and big data. Courses in the learning path include specialized... Read More
2021 Best Data Science Bootcamps
25 Top Schools: Rankings, Reviews, and Courses
In recent years, data scientists who process and analyze large amounts of data to identify valuable insights have become an increasingly essential part of business teams. This explains why the U.S. Bureau of Labor Statistics projects a 22% increase in demand for trained data scientists over the next decade. Completing a data science bootcamp can help individuals break into this in-demand field and give their income a boost in the process.
Since we began ranking data science bootcamps in 2014, SwitchUp has become a trusted source for people who want to identify their best bootcamp options. Only those data science bootcamps that earned a minimum 4 out of 5 stars after being reviewed by at least 10 graduates made it onto our latest ranked list, below. Click here to see our full rankings methodology or continue reading for more information about data science education and job prospects.
Propulsion Academy provides students opportunities to learn about the technologies, tools, and techniques necessary to master all areas of data science. The course runs 12 weeks and students attend all-day classes Monday through Friday. The curriculum of the full-time, immersive bootcamp in data science includes instruction in statistics, machine learning, natural language processing, deep learning,... Read More
CodingNomads offers a bootcamp in Data Science and Machine Learning for students experienced in Python and coding. The part-time course is completed asynchronously in 12 weeks, entirely online. Students work between five and 15 hours a week, depending on their previous experience. The curriculum includes coursework in model evaluation and validation, data science tech stack, and a capstone project... Read More
Practicum by Yandex offers a bootcamp aimed to prepare graduates for a career as a data scientist. Students progress from a free, 20-hour introductory class to the eight-month, 600-hour professional course. Learning in the major areas of data science, including Python, data analysis, machine learning, statistics, and linear algebra, occurs through independent work and feedback, culminating with the... Read More
Online, in-person, and corporate business bootcamps are available through Data Science Dojo. Specializing in data science technology, Data Science Dojo provides an online data science certificate and a 5-Day Data Science Bootcamp. In-person training is held in cities such as Atlanta, Austin, and Bangalore, on a traveling basis — though presently only online classes are occurring due to COVID-19 restrictions.... Read More
Start Your Career with a Top-Rated Bootcamp
Become a highly-skilled Data professional with hands-on training programs and a complete career follow-up. Depending on your initial skill level and your career goals, you can select from 3 different programs. You will learn the state-of-the-art technologies in artificial intelligence, mastering the entire Data pipeline.
Coding Temple’s Python + Data Science Bootcamp is a 10-week full-stack development course available online, with headquarters in Chicago and Dallas. Features of the bootcamp include individualized one-on-one learning, weekly meetings and quizzes, a capstone project, and career preparation. Students can enter into an Income Share Agreement with the Coding Temple, under which they pay nothing until they... Read More
Courses provided by The Dev Masters include mastering applied data science, data science for professionals, project-based learning, and mastering applied data science with deep learning. Courses range from 16-week intensive programs to shorter, five-day workshops. These high-level courses do not require any previous programming knowledge and are targeted toward both professionals and non-programmers... Read More
Metis offers an accredited 12-week live, online data science bootcamp targeted toward individuals who have some programming knowledge and background. The program begins with 30 hours of academic pre-work. At the end of the bootcamp, students are expected to have a five-project portfolio that demonstrates real-world knowledge and uses actual data. Once students have completed the Data Science Bootcamp,... Read More
RMOTR is an online Python-based data science program, serving data science courses such as intro to databases with Python, intro to scientific computing with NumPy, and intro to Pandas for data analysis. These are self-directed, online courses that have not been affected by the COVID-19 pandemic. Students pay a subscription cost per month or per year to gain access to the library of courses and can... Read More
Based in Paris, DataScientest offers three programs for three careers within the data field: Data Analyst, Data Scientist, and Data Engineer. The Data Scientist program is offered as an 11-week bootcamp or nine-month continuing education course. As a prerequisite, it requires a Bac + 3 in mathematics or Bac + 5 in science. The course also includes personalized post-training support for finding employment.... Read More
GreyAtom's five-day intensive workshop includes seven and a half hours of training, a GitHub project, a certificate of completion, and priority access to GreyAtom’s other workshops and seminars. For those looking for something more extensive, GreyAtom offers a Data Science Transition program, with 87 hours of mentor training and four guided hackathons. The Data Science Transition Program is targeted... Read More
The NYC Data Science Academy promotes three major course paths: an Online Bootcamp, a Remote Live Bootcamp, and a Professional Development Course. The Online Bootcamp is a full-time, 16-week or part-time, 25-week course with recorded videos and assigned coursework. The Remote Live Bootcamp is a full-time, 12-week course with real-time instruction. The Professional Development courses are four to six... Read More
A 90-day, full-time, immersive, in-person data science retreat in Berlin, the Data Science Retreat provides three instructional programs: Python, Linear Algebra & Probability, and Machine Learning. Once coursework is completed, graduates will have projects that they can present to prospective employers. Career coaching services include resume assistance, practice interviews, and LinkedIn updates. This... Read More
Cambridge Spark Ltd offers a 14-month, blended-learning program in Data Science and AI. Targeted at offices and currently working professionals, the program simulates real-world projects with Cambridge Spark’s K.AT.E. (Knowledge Assessment Teaching Engine) platform. Remote instruction occurs through a live, online platform. In addition to the courses, Cambridge Spark Ltd provides a number of apprenticeships... Read More
Science to Data Science’s project-based courses include a five-week intensive London course and a remote, virtual course. Due to the COVID-19 pandemic, the on-site course has switched over to virtual learning. This data science program is targeted at existing PhDs and MScs who want to branch into data science quickly. During the five-week program, students will be coached through a variety of intensive... Read More
An entirely online bootcamp, Dataquest provides education in R, Python, SQL, and other data science technologies. Data science courses include Data Scientist in Python, Data Analyst in Python, Data Analyst in R, and Data Engineer. Dataquest uses an online platform intended to give students an interactive learning experience that is self-directed.. Students can pay either monthly or annually for access... Read More
BrainStation typically provides full-time, on-campus data science courses in New York, Toronto, and Vancouver, as well as a part-time certificate in data science or data analytics. However, during the COVID-19 pandemic, all courses are being held online. Upon completing courses, students earn BrainStation certificates, which can be added to LinkedIn portfolios and resumes. Students will be taught technologies... Read More
Three intensive data science bootcamps are available through Hackwagon Academy: Data Science 101, Data Science 102, and Data Science 103. In Data Science 101, students learn the basics of programming concepts. In Data Science 102, students learn more about machine learning and Python coding. In Data Science 103, everything is brought together for end-to-end analytics in a master class.. Some students... Read More
DataCamp offers 337 online data science courses, ranging from an introductory Data Science for Everyone class to introductory courses in Python, R, and SQL. Features of this bootcamp include skills assessments, real-world projects, and interactive learning systems. Students begin DataCamp by analyzing their data skill level and then are directed to the courses that are best suited for them. Courses... Read More
Udacity’s School of Data Science offers over a dozen online courses throughout the year, including Business Analytics, Programming for Data Science with R, Data Scientist, and Data Analyst. Courses vary in the amount of time needed for completion. The Data Scientist course is a four-month course demanding an estimated ten hours a week, with prerequisites of Python, SQL, and Statistics. Courses at Udacity... Read More
Data science courses at Thinkful include Data Science Immersion and Data Science Flex. Immersion courses are accelerated, full-time courses held online that span five months, while flex courses are part-time courses that span six months. In either case, each student is assigned a team that is intended to help them through the course with one-on-one attention, mentorship, and career coaching. Thinkful... Read More
Springboard is an online educational institution that specializes in teaching students technology. Its data science career track is a six-month program that students work an average of 15 to 20 hours a week to complete. This is an advanced course that requires six months of active coding experience and knowledge of basic probability and descriptive statistics. There are 18 units to this course including... Read More
Ubiqum Code Academy offers an immersive data science bootcamp intended to turn beginners into data analysts at their campuses in Amsterdam, Barcelona, Berlin, Lisbon, and Madrid. Its data analytics and machine learning bootcamp is a full-time course that students can complete in five months of study. Students will learn data mining in both the R language and Python. They will learn to apply real-life... Read More
Xccelerate is an educational institution in Hong Kong that offers both full-time and part-time data science bootcamps either on location at their campus or through hybrid learning, which combines on-site classes with online office hours for students who prefer to social-distance due to the COVID-19 pandemic. Instructors are available for questions about classes or help with assignments. The full-time... Read More
2021 Best Data Science Bootcamps received an average 4.81 of 5 based on 6770 reviews.
What Are Data Science Bootcamps?
A data science bootcamp is a short-term, intensive training program designed to help students become data scientists by teaching them in-demand data skills through project-based learning. A program usually lasts from 3-6 months for full-time students, who may spend up to 10 hours a day, five days per week, completing projects and practicing new skills. Most programs — whether offered online or in-person — are open to all levels of educational and technical experience, from those just entering the job market out of high school to those with a four-year degree looking for a new career. Importantly, some data science bootcamps are more advanced and require prior data analytics knowledge or even a bachelor's degree in STEM. Regardless, it's recommended that students brush up on their statistics and math skills before enrolling in a data science bootcamp.
While some consider the work exciting and satisfying, it may be challenging for others, depending on a student’s natural aptitude and skill set. Data scientists typically have an analytical mindset, a strong background in statistics and mathematics, and a talent for identifying pertinent information in large data sets, so this field is well-suited for those who work well with numbers and understand data patterns. Specific technical skills may be beneficial to students, such as familiarity with Python or a similar programming language. Furthermore, since data scientists influence everything from product development to marketing campaigns, those in this role must effectively convey the significance of data trends to various groups. Therefore, strong oral and written communication skills are essential.
Data science bootcamps usually cost a fraction of a four-year degree, and you may be eligible for scholarships, loans, payment deferment, and other types of financial aid. You may also find that a data science bootcamp holds more practical value because its curriculum targets specific skills rather than the broader, theoretical education offered by a traditional degree program.
What Do You Learn in a Data Science Bootcamp?
Each project in the program is structured around proving a hypothesis. You’ll often begin by cleaning data, which refers to searching for and eliminating bad records, and then you can hypothesize the results. Then, you'll use the concepts you're learning and collect data to prove whether your hypothesis about the data is correct. After several projects, you'll have built a comprehensive portfolio that demonstrates your data science skills to present to prospective employers.
Are Data Science Bootcamps Worth It?
Data science bootcamps offer opportunities for those ready to make a career change and join a rapidly growing field. Data science is in-demand, and the field is expected to grow 8% through 2030, which is faster than average. In other words, the number of jobs is outpacing the number of skilled workers. Due to the need for data scientists, many employers — including big tech companies — accept skilled workers with diverse educational backgrounds, such as those who have completed a bootcamp. Although some employers have stigmatized bootcamps, they increasingly appreciate graduates’ skill levels. As a result, by completing a bootcamp you'll gain a highly marketable skill set that is applicable across industries as well as a potential salary boost. In fact, our 2018 survey found that bootcamp graduates increased their salaries by 46% after completing data science programs.
Since data science bootcamps are intensive and focused, they are shorter and more affordable than traditional degree programs. The flip side is that a bootcamp requires a lot of grueling work over a short period, so while the overall program goes by faster than earning a degree, its day-to-day requirements are often more demanding. For this reason, a bootcamp may be challenging to manage alongside other obligations. Furthermore, although these bootcamps are highly concentrated, they may not offer the broad, theoretical knowledge that a bachelor's degree provides. Instead, bootcamps provide mentorship and tutoring opportunities as well as hands-on training by tackling real-world challenges.
Meanwhile, financing a data science bootcamp can present another obstacle. If you have to pay tuition up-front, the cost may strain your budget. Before applying, check to see if your school offers payment options that work within your means.
A factor that makes data science bootcamps appealing is their career services, which usually provide networking opportunities, job interview preparation, hiring sessions, and post-graduation career coaching. Like in-person degrees, industry professionals often teach online bootcamps, allowing you to gain up-to-date knowledge and insights into the field.
Choosing and Applying to a Data Science Bootcamp
Besides considering cost and location, it’s useful to ask questions about your program that are specific to your interests, needs, and goals. When deciding on which data science bootcamp to attend, consider the following questions:
Will this bootcamp help me land a job?
Find out if the bootcamp you are considering offers job placement support after the program’s completion. Sometimes a coding school lists who they work with, and these may be potential employers. You may also consider whether the companies you're interested in working for hire bootcamp graduates, specifically.
What kind of support does the bootcamp offer?
If you're looking at an online bootcamp, find out what kind of technical and educational assistance the program provides and whether this comes from a live person. You may also consider asking when help is available and how long it takes for a response. These questions are especially important if you attend an online bootcamp in a different time zone.
Do you need prior experience?
While some bootcamps accept students at any experience level, others expect learners to have advanced skills. Before applying, ask what skills are necessary for success in the program.
What's the time commitment?
When managing your schedule, it helps to determine how much time you'll be expected to study each week. Attending a bootcamp part-time may be a suitable option, but the program will take longer to complete.
Is an online bootcamp right for me?
It may be easier to fit an online bootcamp into your busy schedule, especially one that offers flexibility through asynchronous lessons. Online bootcamps not only rival the quality of in-person programs but may also be more convenient for those looking to complete the program from home.
What are the hardware and software requirements?
If you are new to the field, you may have to upgrade your current computer system or invest in a better broadband plan to meet a bootcamp’s requirements. As a result, you may have to factor this into your budget, as it requires spending more money for your education.
A valuable tool for researching employment outcomes is LinkedIn. If you look up the school offering the bootcamp, you can click on the alumni tab to see where the program graduates live and work. LinkedIn could also provide a setting for networking with these graduates and others in the field.
Once you've chosen your data science bootcamp, the application process is fairly straightforward. Although registration at each school may vary slightly — especially if a school offers financing options — schools generally only require your personal information and a credit card number. Most often, schools do not request transcripts or test scores.
Funding a Data Science Bootcamp
While bootcamps are typically not covered by federal financial aid, many offer alternative financing options, including deferred tuition, ISAs, and scholarships. With deferred tuition, schools defer payment until their graduates are hired. Meanwhile, others guarantee their program’s success by offering to refund the cost if a graduate cannot find a job within six months of completing the program. Therefore, as you consider enrolling in a program, ask to speak to someone in the school's finance department, and they will discuss available options.
If you opt to receive a private loan from a lender, do so with caution. First, check if the bootcamp has partnered with a lender that offers special interest rates and flexible repayment options. Scholarship options, such as the ones listed below, are preferred because students don’t have to repay the cost:
These scholarships are $500 each. Although students pursuing any field of study can receive an award, they are specifically intended for those undergoing a career change.
Calvin Rosser offers several scholarships, starting at $500, to any student pursuing education or career advancement. Some of the awards are gender and industry-focused, such as those geared toward women in STEM programs.
The children of current/past Army members and spouses of current Army members can apply for scholarships ranging from $500 to $2,000. You’ll need to attend a bootcamp at an accredited institution to qualify.
If you are a military member on active duty or a veteran, you may qualify for funding through the GI Bill. This Bill supports students attending vocational and technical training programs. Those on active duty can also transfer their unused GI Bill benefits, including tuition, to a spouse and dependent children.
While there aren't many free, full-length data science bootcamps available, several free online data science courses are available from Flatiron School, Learn, Galvanize, and others. These resources are helpful for beginners who are still deciding whether to invest in a full-length program.
Careers in Data Science
Data science bootcamps can help you get started in the field, which may lead to a lucrative, fulfilling career. Jobs in data science involve programming, machine learning, data visualization, statistics, and data analysis. Because data science is key to decision-making, those in this role may end up working with leaders in business management, business intelligence, computer systems, or market research.
Below are some careers in data science that have high job growth:
Data Scientists extract and interpret data. Specifically, they handle large amounts of information while looking for data patterns and trends. As a result, they can help solve complex problems that may ultimately aid a company in achieving its goals. According to the U.S. Bureau of Labor Statistics (BLS), a data scientist’s median salary was $98,230 in 2020, with an average job growth rate of 8%.
Database Administrators and Architects organize and store data to ensure that databases operate efficiently, securely, and error-free. The BLS lists database administrators and architects with a median salary of $98,860 and an average job growth rate of 8%
The children of current/past Army members and spouses of current Army members can apply for scholarships ranging from $500 to $2,000. You’ll need to attend a bootcamp at an accredited institution to qualify.
Data Science vs. Data Analytics
Data science relies on critical thinking, and the primary function of those in this role is to build, clean, and organize datasets through a process called data wrangling. A data scientist wrangles data by collecting it through algorithms, statistical models, and other means of analysis to allow for the extraction of usable, meaningful data. A data scientist may also use linear regression — a statistical method that studies and summarizes the input and output of numerical variables — for machine learning or predictive modeling. As a result, data patterns emerge, which can influence business leaders' decisions.
On the other hand, data analytics refers to interpreting data that has been collected by using a variety of tools and techniques. These skills can be acquired through a data analytics bootcamp. There are four types of data analytics: (1) Descriptive analytics involves examining past data. (2) Diagnostic analytics seeks to understand why something happened. (3) Predictive analytics relies on past data to make assumptions about the future. (4) Prescriptive analytics identifies the actions needed to meet one’s goals.
SwitchUp Rankings Methodology
SwitchUp's rankings are based on over 20,000 reviews from verified students and alumni, across over 500 bootcamps in operation. Because student and alumni feedback and ratings are indicative of bootcamp quality, rankings are ordered by review score. If bootcamps have the same review score, bootcamps with more reviews are ranked higher to break the tie. The order of the ranking is based on data at the time of publishing, but the ratings and review counts will change as more reviews come in.
To be considered for the 2021 rankings, bootcamps must help students land jobs in tech through excellent instructor support, curriculum, and career resources; each review left on SwitchUp evaluates the bootcamp on all of these aspects.
All bootcamps listed in the best data science ranking were required to meet the following criteria at the time of publication:
- Offer an immersive or part-time data science program
- Have at least 10 verified reviews of data science programs
- For those data science program reviews, average at least 4/5 stars
Please see our full ranking methodology to see requirements for other rankings.
Looking for a school with specific qualities? We've awarded merit badges to schools in several key areas:
Offer either part-time or immersive courses that are available online. This includes courses that are offered temporarily online due to COVID-19.
Offer a job outcomes report that was independently verified by a third-party auditor.
Offer self-paced, part-time, or evening classes.
Offer guaranteed job placement after graduation, or the student's tuition is refunded. Visit the official school site for related terms and conditions.
Approved to accept GI Bill funds according to the U.S. Department of Veteran Affairs.
Approved as a VET TEC Provider according to the U.S. Department of Veteran Affairs.