Top things to know
- There are many great data analytics bootcamps available on the market. I’ve investigated 12 different bootcamps, each with its own strengths and weaknesses.
Many data analyst bootcamps have job placement rates of over 90%. The best ones provide career coaching and mentoring.
- Cost, communication with your mentor, certification, and schedule are among the biggest considerations when choosing a data analytics bootcamp.
If you’re keen to start a career as a data analyst, a top quality bootcamp can offer a direct route into a job. But how do you measure quality in a rapidly changing field?
With many great options available and some pretty bold claims flying around, it can be a tricky process.
To help you out, we’ve compiled a list of what we consider to be the best data analytics bootcamps, hand-picked based on extensive market research. Our list compares:
- price
- duration
- modes of study
- unique selling point
Spoiler! Here at CareerFoundry, we offer a top-rated data analytics bootcamp. However, we’ve attempted to be as impartial as possible in our evaluation because everyone needs something different. If you want a practical introduction to data analytics before you commit to a bootcamp, check out our free 6-day data analytics course.
Table of contents
- What will you learn in a data analytics bootcamp?
- Data science vs. data analytics
- Admissions requirements for data analytics bootcamps
- How to choose the right bootcamp for you
- The top 12 data analyst bootcamps
- CareerFoundry
- Springboard
- General Assembly
- Chegg Skills (formerly Thinkful)
- Dataquest
- CodeOp
- BrainStation
- DataCamp
- Harvard University
- Le Wagon
- Flatiron School
- Fullstack Academy
What will you learn in a data analytics bootcamp?
The skills you learn on a data analytics bootcamp will vary from program to program, but generally you can expect to cover some or all of the following:
- How to prepare and analyze data
- The different types of data visualizations and what they can be used for
- Basic visual design principles for visualizations
- How to use databases and SQL
- Programming languages such as Python
- How to create interactive dashboards
- Data mining, big data analysis, machine learning, and ethics
In many bootcamps, you’ll complete a project(s) to put your new skills to work.
Note that it’s also worth checking if the bootcamp has incorporated AI tools and techniques into its curriculum, so you can stay ahead of the latest topics and trends.
Data science vs. data analytics
If you’re considering a data bootcamp, it’s important to be clear on the differences between data science and data analytics. This will ensure you’re choosing the right type of bootcamp depending on your preferred pathway. So what is the difference?
Data analysts and data scientists both share a common goal: to help the business make decisions. However, they go about it in different ways.
Data analysts seek answers to specific business questions. They examine existing data to identify trends and patterns, and pull out actionable insights. They look at what happened and why, and use this to inform future actions.
Data scientists have a broader, more complex role. Their job is to ask very detailed, tactical questions to help inform the organization’s overall strategy. They use machine learning and statistical modeling to predict what will happen in the future and to optimize processes. To do this, they build predictive models, develop algorithms, and often use programming languages like Python and R.
While data analysts typically work within a single division or department (and have detailed, in-depth knowledge of that division), a data scientist needs to understand the processes, systems, and aims of the organization as a whole.
If you’re more interested in becoming a data scientist, refer to this comparison of the best data science bootcamps. If it’s data analytics you’re interested in, stick with us in this post.
Admissions requirements for data analytics bootcamps
Time is really the most important admission requirement, and it varies per bootcamp. For example, the CareerFoundry bootcamp requires a minimum of 15-20 hours per week to complete in 10 months.
English proficiency is a common requirement. Our bootcamp requires B2 level or higher written and spoken English.
Most bootcamps do not require a data background. A 2021 study by Career Karma found that companies as respected as Amazon, Google, Facebook, and Microsoft are some of the largest employers of bootcamp graduates.
How to choose the right bootcamp for you
There are many factors involved in choosing a bootcamp, so it may help to create a spreadsheet where you track the most important factors in your search as you assess your options. (You’ll soon be working with spreadsheets a lot!)
Here are some of the most critical aspects to consider:
- Current schedule and options for flexibility: how much time can you commit to your data analytics bootcamp? When will you be able to study?
- Cost: what kind of budget are you working with? Many bootcamps offer scholarships, loans, and government-funded options, so explore those, too.
- Student-to-mentor communication: what kind of expert support and guidance will you have throughout the bootcamp?
- Certification: what qualification or certification will you get at the end? If you have a list of desired employers, check to see if they require a specific data analytics certification.
Weighing up each of these factors will help you choose a data analytics bootcamp that best suits your schedule, learning goals, and career objectives.
Are data analytics bootcamps worth it?
Data analytics bootcamps will provide you with the skills and knowledge required to land a job as an entry-level data analyst at most companies. While completing a bootcamp, you’ll most likely work on practical projects that you can add to your portfolio—which will be vital for the job-searching process.
Whether you want to learn data analysis to use in your current job, or prepare for a complete career change, data skills are a huge advantage in today’s workplace. So yes, a data analytics bootcamp is certainly worth it.
Here are some of the biggest advantages of taking a data analytics bootcamp:
- A structured and comprehensive learning pathway: A good bootcamp will provide you with a quality, expert-written curriculum set out in the most logical order, enabling you to start with the basics and work your way up.
- Access to mentors and industry experts: The best bootcamps include one-to-one mentorship and guidance from expert instructors, helping to accelerate the learning process and keep you on-track.
- Practical learning that mimics on-the-job scenarios: Data analytics is a highly practical field, so hands-on experience is key. With the right bootcamp, you’ll apply what you’re learning to actual projects—making sure you’re prepared to work in the field.
- Help with getting hired: Some bootcamps offer a job guarantee and expert career coaching. This is invaluable when it comes to finding your first job and successfully switching careers.
With that, let’s compare the best data analytics bootcamps on the market right now.
The top 12 data analyst bootcamps in 2025
Without further ado!
1. CareerFoundry Data Analytics Program
The CareerFoundry Data Analytics Program at a glance:
- Mode of study: Online
- Duration: 8 months (15 hours per week)
- Price: $7,505–7,900 USD
- Ideal for: Beginners and career-changers
- Unique Selling Point: Excellent mentorship and human support
Our program has been designed to take you from complete beginner to job-ready data analyst. The program is offered entirely online, and you can work to your own schedule—as long as you stick to certain milestones within the 8 month duration.
After completing the main fundamentals of data analysis, students can then take a number of specialization courses, including in machine learning (an important branch of AI), and data visualization.
The major selling points of this particular program are the dual mentorship model and the job guarantee. Each student is paired with a personal tutor and a one-to-one mentor. The job guarantee ensures that if you don’t get a job within six months of graduating, you’ll get a full refund.
If you’re not ready to commit, you can test the waters first with a free 6-day short course. Check out the first lesson of the short course in the following video, as Dr. Humera Noor introduces you to the field:
Learn more:
2. Springboard
The Springboard Data Analytics Bootcamp at a glance:
- Mode of study: Online
- Duration: 6 months (15-20 hours per week)
- Price: $11,300 USD
- Ideal for: Career-changers with some experience
- Unique Selling Point: Flexible payment options—deferred tuition available
Another fully online option which also comes with a job guarantee, the Springboard bootcamp promises to get you ready for a career in data analytics within six months. With the help of a mentor, you’ll work through the curriculum one unit at a time, with five units in total.
Unlike our program at CareerFoundry, the Springboard bootcamp is designed for people who have two years of professional experience working with office, design, or programming tools.
If you don’t qualify for the bootcamp, Springboard also offers an Intro to Business Analytics course—however, this option can’t guarantee you a job in the field.
Learn more:
3. General Assembly
The General Assembly Data Analytics Bootcamp at a glance:
- Mode of study: Online
- Duration: 12 weeks full-time or 32 weeks part-time
- Price: $16,450 USD
- Ideal for: Beginners looking for a full career-change
- Unique Selling Point: Immersive and intensive learning experience
If your ultimate goal is to start a career in data and you’re ready for an intensive training program, consider the General Assembly Data Analytics Bootcamp.
This immersive remote learning experience promises to take you from data novice to job-ready in as little as 12 weeks (if you go for the full-time study option). Opt for the part-time schedule and you’ll be ready to graduate in 32 weeks.
You’ll learn through live online classes at set times (all day or evening, depending on your chosen schedule) with expert instructors, covering everything from data fundamentals through to more complex topics like neural networks, Python, and AI.
This is one of the most expensive options on our list, so it does require a heavy financial investment. Consider paying in instalments and looking into available discounts and scholarships.
Learn more:
4. Chegg Skills (formerly Thinkful)
The Chegg Skills Professional Certificate in Data Analytics at a glance:
- Mode of study: Online
- Duration: 6-8 months (5-10 hours/week)
- Price: Unknown (available upon application)
- Ideal for: Beginners and career-changers
- Unique Selling Point: Full flexibility with self-paced learning
If you’re looking for full flexibility to learn data analytics at your own pace, consider the Professional Certificate in Data Analytics offered by Chegg Skills (formerly Thinkful).
In 6-8 months, you’ll cover the essentials of data analytics broken down across three core courses. First, you’ll get to grips with Excel and SQL for data collection, analysis, and interpretation. Then, in Course 2, you’ll learn how to visualize and present your data. Finally, you’ll gain hands-on experience with Python, an essential programming language within the data industry.
This program offers a thorough introduction to key data analytics topics, but note that this particular course doesn’t include mentorship or career services (like some other Chegg Skills courses do).
Learn more:
5. Dataquest
The Dataquest Learning Paths at a glance:
- Mode of study: Online
- Duration: Self-paced
- Price: $29 – $49 USD per month
- Ideal for: Beginners on a budget
- Unique Selling Point: Extremely flexible self-paced learning
Dataquest works on a subscription basis, with a choice between a basic and a premium monthly membership.
They offer two learning paths: Data Analytics with R, and Data Analytics with Python. Each path comprises a curated sequence of hands-on courses, designed to take you from zero to job-ready. The “R” path covers all the essentials you’ll need to work as a data analyst using the programming language R. It includes four free courses, which you’ll have access to as part of your monthly subscription, and one course you’ll need to pay for.
Dataquest also has plans to add ten additional paid courses in the near future. The Python path offers a similar format but, as the name suggests, focuses on the programming language Python. If you’re happy to learn independently without the guidance of a mentor, this is a highly flexible, practical, and affordable offering.
Learn more:
6. CodeOp
The CodeOp bootcamp at a glance:
- Mode of study: Online
- Duration: 8 weeks full-time or 20 weeks part-time
- Price: €4,700 (around $5,000 USD)
- Ideal for: Beginners and career-changers
- Unique Selling Point: Exclusively for women, trans, and gender non-conforming people
CodeOp is on a mission to help solve the diversity and inclusion problem in tech, offering bootcamps exclusively to women and the TGNC community. The data analytics bootcamp is taught online via live, synchronous classes and hands-on project work.
The curriculum is broken down into eight phases, with the last two phases focusing on project work and career preparation.
The bootcamp focuses heavily on relevant practical skills, promising to equip students with an industry-ready toolbox that will support them in their first job as a data analyst.
Learn more:
7. BrainStation
The BrainStation course at a glance:
- Mode of study: Online or in person (U.S., Canada, and UK)
- Duration: 10 weeks part-time
- Price: $3,950 USD
- Ideal for: Beginners looking to upskill
- Unique Selling Point: Highly engaging live lectures
The BrainStation data analytics course is available both in person—with venues throughout the U.S., Canada and the UK—and online via Synapse, their data-driven learning platform.
The course takes ten weeks to complete on a part-time basis, making it one of the shorter options on the market, and focuses on three core areas: building and managing databases, identifying trends in data, and visualizing and presenting insights.
This is one of the only online courses to offer live lectures, so it’s ideal if you’re looking for flexibility but still want the classroom experience. While the mentorship offered on this course is not nearly as extensive as some of the other programs out there, students do have access to feedback and guidance from expert instructors.
Learn more:
8. DataCamp
The DataCamp career tracks at a glance:
- Mode of study: Online
- Duration: 64 hours (self-paced)
- Price: Free – $33.25 USD per month
- Ideal for: Beginners with a busy schedule
- Unique Selling Point: Bite-sized lessons for time-efficient learning
DataCamp follows a similar format to that of Dataquest, offering free, basic, and premium monthly membership options.
There are two career tracks for aspiring data analysts: Data Analyst with R, and Data Analyst with Python. Each track is made up of individual courses which can be accessed any time, on any device, and take between two and five hours to complete.
Once you’ve completed all the courses in your chosen career track, you’ll get a statement of accomplishment. This is another highly affordable and flexible option which allows you to learn independently and in your own time—ideal if you have a demanding schedule and can’t commit to an intensive bootcamp.
Learn more:
9. Harvard University Business Analytics Course
The Business Analytics course at a glance:
- Mode of study: Online
- Duration: 8 weeks (5-6 hours per week, self-paced)
- Price: $1,750 USD
- Ideal for: Beginners and professionals looking to upskill
- Unique Selling Point: A highly business-centric approach to analytics
If your main goal is to use data analytics to make smarter business decisions, or to apply some of the fundamentals to your current role, this online course will show you how. The Business Analytics course offered by Harvard University takes 8 weeks to complete, and you can work entirely to your own rhythm via the Harvard Business School online platform.
Throughout the course, you’ll gain a solid introduction to some of the key concepts of data analytics—from descriptive statistics and regression analysis, right through to the interpretation and implementation of insights. If you’re looking for a flexible, university-endorsed course at a reasonable price, this is one of the best options on the market.
10. Le Wagon
The Le Wagon Data Analytics course at a glance:
- Mode of study: Online or in-person (most continents except the U.S.)
- Duration: 400 hours in total, over 24 weeks for the Flex part-time option
- Price: $9,900 CAD /7,900 € in-person /7,400 € online
- Ideal for: Beginners and those who have taken their first few steps
- Unique Selling Point: Vast range of in-person locations to study worldwide
Having run a web development bootcamp as well as a data science one, French bootcamp Le Wagon launched their data analytics course with the same idea in mind.
Learners can study in a huge range of cities throughout the world, or online. In their data analytics course, over the 400 hours you’ll learn how to employ Python for data analytics, get to grips with data sourcing and extraction. You’ll also learn BI and different methods of data visualization.
There are no technical prerequisites required of applicants, but there is a quiz to pass, and once you’re accepted it involves a week’s worth of prep work.
Learn more:
11. Flatiron School
The Flatiron School Data Science bootcamp at a glance:
- Mode of study: Online or in-person in Denver or New York
- Duration: 15 weeks full-time (40 hours a week), 40 weeks part-time (online asynch)
- Price: $16,900
- Ideal for: Those with the time and money for an intense course
- Unique Selling Point: Extensive machine learning elements
Though billed as a data science bootcamp, this offering shares a large amount of course materials with its analytics brethren.
Once you’re accepted, the full-time course is an intense 8 hours a day for almost 4 months, learning in class with a cohort with the support of a tutor.
You’ll learn SQL and Python, and then start moving more into the quantitive part of things, with NumPy, Pandas, and SciPy. Where things get really interesting is in the following two sections, which are Machine Learning Fundamentals and then Advanced Machine Learning.
There is prepwork required before you start out. A price over $16,000 not including mentorship in the program is questionable. There are a range of scholarship options to consider, however.
Learn more:
12. Fullstack Academy
The Fullstack Academy Data Analytics Bootcamp at a glance:
- Mode of study: Online
- Duration: 10 weeks (full-time) 26 weeks (part-time)
- Price: $13,495
- Ideal for: Those who enjoy learning from live online lectures
- Unique Selling Point: Amazon Web Services data training
Once you begin, the full-time course runs for 10 weeks, with the part-time option taking place three evenings a week for three hours, for six months.
In the course you’ll sink your teeth into the languages SQL and Python, as well as data analytics tools such as Excel and Tableau. There’s also an entire model based on how to use AWS as a data analyst, which is incredibly useful, considering the cloud platform’s popularity in businesses today.
Prospective students will have to complete a logical reasoning test to get in, but apart from that (and the $13,495 price tag) there are no other hoops you’ll have to jump through to get started.
Learn more:
What next?
We’ve introduced a carefully curated selection of the best data analytics bootcamps on the market, and you can learn more about the benefits of becoming a certified data analyst in this article. Now it’s over to you! Hopefully you’ve identified one or two courses that suit your learning goals and preferences; the next step is to conduct some more in-depth research.
As mentioned earlier, to find the best data analytics bootcamp for you, you should familiarize yourself with how your chosen courses work, find out what payment options are available, and be sure to read through as many reviews as possible.
If you can, it’s also worth speaking to an advisor from each of your shortlisted options; they can answer any questions you might have, and help you determine if it’s truly the best option for you.
Want to learn more about becoming a data analyst? Check out the following articles:
- What’s it actually like to be a data analyst?
- The best data science bootcamps on the market right now
- How to interview for a data analyst role: Questions and answers
Data analytics bootcamps FAQs
Which data analytics bootcamp is the best?
The best data analytics bootcamps are those that offer practical, hands-on projects, expert mentorship, and an up-to-date curriculum. Among the most popular options are CareerFoundry’s Data Analytics Program, the Springboard Data Analytics Bootcamp, and General Assembly’s Data Analytics Course. The best option will depend on your goals, budget, and how much time you have available.
Can I become a data analyst with a bootcamp?
Yes, it’s possible to become a data analyst with a data analytics bootcamp—especially if you choose a bootcamp that offers career support and a job guarantee. With a heavy focus on practical skills, job preparation, and building your portfolio, bootcamps can help fast-track your route into the industry.
How much does a data analytics bootcamp cost?
A data analytics bootcamp can cost anywhere between $30 per month and $17,000. It depends on the length, intensity, and depth of the bootcamp, as well as what’s included. Cheaper options usually offer independent, self-paced learning, while more expensive bootcamps provide the full career-change package, including mentorship, practical projects, and career support.