6 Best Data Science Bootcamps For Upskilling in 2024


In this blog, we will answer the most frequently asked questions about best data science bootcamps in detail. Additionally, we’ll review some top data science bootcamp-style learning opportunities offered on atomcamp.

If you’re considering enrolling in a bootcamp, this blog will provide a comprehensive overview of everything you need to know about these intensive training programs.

By the end, you’ll understand what data science bootcamps entail, their benefits and drawbacks, and why they may not be the best option for breaking into data science.

What is a Data Science bootcamp?

A Data Science Bootcamp is like a quick training camp for people who want to learn all about working with data. Instead of dragging on for years like regular university degrees, these bootcamps are short and hands-on, lasting just a few weeks or months.

You get to learn all the important stuff about data science in a fast and focused way to make you market-ready, with tons of portfolios. After completing these, you get certificates so you can start using those skills right away.

To put it in a nutshell, It’s like a crash course in data know-how!

Are Data Science bootcamps better than long degrees?

Yes, given the time and learning experience bootcamps help you keep up with the latest market trends and innovations.

People like me choose a data science bootcamp over a regular degree or online course mainly because they want to get certified fast. Another reason is, the regular universities can be often expensive (costing you around $50,000 to $100,000). 

But there’s more to it.

Here are some other reasons why people might go for a data science bootcamp:

  1. Help with Your Career: Bootcamps don’t just teach you stuff—they also hook you up with job-related services like fixing up your resume, doing practice interviews, and introducing you to potential employers. It’s like having a coach for your career!
  1. Flexibility is Key: Bootcamps get it—they know everyone’s got different schedules. That’s why they offer all kinds of options, like part-time classes, online learning, or showing up in person. You can learn at your own pace without having to quit your day job.
  1. Save Some Cash: Let’s be real—college degrees can cost a fortune. Bootcamps, on the other hand, are often way cheaper. So if you’re trying to avoid taking out a second mortgage just to learn some data skills, a bootcamp might be the way to go.
What is a data science bootcamp?

Who should enrol in bootcamps?

A data science bootcamp is a good fit for various types of people who want to learn in a more hands-on way.

Here’s who might find it especially useful:

  • Career Changers: If you’re itching to switch gears and dive into data science from a different field, a bootcamp can be a game-changer. It’s like a fast-track ticket to getting up to speed in the data world.
  • Tech Pros: Already knee-deep in the tech industry? A bootcamp can help you level up your skills or pivot into the exciting realm of data science. It’s perfect for techies hungry for a new challenge.
  • Students: Traditional education’s great and all, but sometimes you need more than just theory to land that dream job. Bootcamps offer practical, job-ready skills that can complement what you’re learning in school.
  • Entrepreneurs: Got your own business? Understanding data can be a game-changer when it comes to making smart decisions. Bootcamps can give you the know-how to crunch numbers like a pro and take your business to the next level.
Why enroll in a bootcamp.

6 Best Data Science Bootcamps in 2024: Our Picks

Here are some of the best bootcamps:

1- atomcamp Data Science Bootcamp

Who’s it for: Students, professionals, and career changers.
What’s the duration: 3 months.
What sets it apart: Weekly assignments, live classes, one-on-one trainer sessions, portfolio creation, job placement, and portfolio creation.

While this isn’t just a data science bootcamp, this program does teach many of the fundamental concepts crucial to data science—making it a great starting point if you’re completely new to the industry.

In fact, many professionals in the field start out as data analysts before transitioning to data science. You’ll start from the very beginning, learning how to prepare and analyze data, before moving on to SQL, Python, and interactive dashboards. 

In addition to a project-based curriculum with a strong focus on portfolio building, students benefit from a unique dual mentorship model.

atomcamp’s offering comes in at $280 for the entire program, but the cost of the tuition is dependent on your location and is competitively priced. A range of flexible payment options include paying upfront to get a small course discount.

Contact one of our Program Advisors to find out your local pricing and if there are any partial scholarships available.

You’ll work with both a mentor and a Teaching Assistant, as well as an expert career coach—and, if you don’t find a job within six months, you’ll get your money back. Great deal, no?

atomcamp data science bootcamp.

2-  Flatiron School Data Science Bootcamp

Who’s it for: Professionals
What’s the duration: 5 months full-time online classes.
What sets it apart: Pre-work course and self-paced. 

Throughout this Flatiron bootcamp, you’ll cover core data science topics such as Python and SQL, machine learning, big data, and natural language processing, culminating in a data science advanced project.

You don’t need any prior experience to apply, but you will need to demonstrate some data science knowledge in order to be accepted onto the course.

Prospective students are also required to complete a pre-work course before the bootcamp begins.

In addition to a robust curriculum, Flatiron School offers extensive career support, including individual career coaching and access to a vast network of employers.

This is a pricey but strong contender, good if you’re looking to build a career in data science and have a bigger budget to spare.

Flatiron data science bootcamp.

3-  The NYC Data Science Academy Bootcamp

Who’s it for: Students and professionals
What’s the duration:
12 weeks full time, 4-6 months full/part-time
What sets it apart:
Flexible routes of study

The NYC Data Science Academy offers two flexible routes of study. The first is a 12-week intensive, with daily classes that are taken either in-person on campus, or remotely through live Zoom classes. 

The second option is distance-learning-only, which is completed either full or part-time over 4-6 months.

Both types of the data science bootcamp involve the student completing four big projects, with the final project often being sponsored by companies located within New York City. 

This provider also has a lifelong career support, which includes one-on-one resume reviews, interview preparation, and more.

This is a good option for those who are changing careers and are keen to work on the east coast of the U.S., as many of the networking and job opportunities provided through the program will be located there. 

The NTC data science academy bootcamp.

4- Udemy Data Science Bootcamp

Who’s it for: Data Science Beginners
What’s the duration: 29 hours self-paced
What sets it apart: Self-paced and suitable for beginners

The Complete Data Science Bootcamp is part of the Udemy for Business collection. The course promises to provide “the entire toolbox you need to become a data scientist”—including on-demand video lessons, articles, and downloadable resources.

You can work through the curriculum at your own pace, starting with a broader overview of the data science field before honing in on the specifics such as statistics, Python, and deep learning.

The course has been designed for complete beginners, making it an excellent starting point if you’re looking for a flexible and affordable introduction.

Udemy data science bootcamp.

5- BrainStation online Data Science bootcamp

Who’s it for: Working professionals and career changers
What’s the duration: 12 weeks full-time
What sets it apart: Collaborate learning experience

The BrainStation online bootcamp covers (almost) everything you need to start your career as a data scientist: a project-based curriculum, extensive career coaching and interview prep, as well as the opportunity to network with industry experts.

You’ll attend live classes and lectures through the virtual classroom, exploring data fundamentals, machine learning techniques, and big data.

This is an especially good option if you’re looking for an online bootcamp that still offers a collaborative element; as part of the course, you’ll have the opportunity to split out into breakout rooms and work together with your classmates.

However, bear in mind that, despite being one of the pricier options on the market, this bootcamp doesn’t come with a job guarantee.

BrainStation data science bootcamp.

6-  Thinkful Data Science Bootcamp

Who’s it for: Students and professional upskilling
What’s the duration: 6 months part-time
What sets it apart: Money-back guarantee and part-time learning

One of the more affordable options on our list, the Thinkful data science bootcamp offers a flexible pathway into the industry.

You’ll learn at your own pace on a part-time basis, building up your knowledge over the course of six months. 

Moreover, you’ll receive one-on-one mentorship throughout, graduating with a professional data science portfolio.

And, if you can’t find a job within six months of graduating, you’ll get your money back. With a range of payment options available, this is a good option if you’re keen to kick-start your career change without investing upfront—although the price rose sharply in 2024.

Thinkful data science bootcamp.

Factors to consider when choosing a Data Science bootcamp in 2024

Selecting the perfect data science bootcamp boils down to aligning with your career ambitions, acquiring the necessary skills for the job market, accommodating your financial constraints, and fitting into your schedule.

Here’s how to navigate through the decision-making process:

Define your career objectives

Delve into your career aspirations. Although many bootcamps cover similar topics, their individual focus can shape your specialization within the field. To pinpoint the right fit, assess your professional goals by considering questions such as:

Where do you envision yourself in five years?

Are you aiming for an entry-level or senior role?

Are you seeking career advancement or kickstarting your journey?

What specific skills are essential for your desired career path?

By addressing these queries, you’ll gain clarity on which bootcamp aligns best with your professional trajectory.

Researching job requirements 

Learn about the specific skills and qualifications demanded by the job market. Data science roles often require a unique blend of technical expertise and soft skills.

Some common ones include:

  • Communication
  • Teamwork
  • Creativity
  • Problem-solving
  • Proficiency in programming languages like Python or R
  • Knowledge of databases
  • Familiarity with machine learning techniques
  • Ability to create effective data visualizations
  • Understanding of big data frameworks

Research job postings for positions that interest you. So, pay close attention to the job descriptions to understand the exact skills required for each role.

Evaluate your current skills

To maximize your success in a data science bootcamp, it’s beneficial to have a solid foundation in data science concepts.

Bootcamps move quickly, often diving into projects that assume some prior knowledge. They primarily focus on honing advanced skills and expanding your professional toolkit.

Since there’s limited time for revisiting basic concepts, assess your current skill level. This will help you determine the type of bootcamp that suits you best based on your existing competencies.

If you need to strengthen your fundamentals, consider enrolling in a beginner-friendly data science bootcamp or taking online courses to refresh or broaden your skills. For example, atomcamp’s free recorded courses.

Check the bootcamp’s structure

When comparing data science bootcamps, one crucial factor to consider is the program’s structure and location. Each approach—online, in-person, or hybrid—comes with its own perks, depending on your objectives, resources, and personal situation.

In-Person Classes

These bootcamps offer structured, hands-on learning with instructors readily available for assistance. They also provide networking opportunities and help build soft skills like teamwork. However, they might not be ideal if you’re looking for flexibility or if the bootcamp isn’t local.

Online Courses

Online programs offer the convenience of learning from anywhere with an internet connection. You can often pace yourself, but they may lack the networking and collaboration opportunities of in-person classes.

Hybrid Courses

These combine the best of both worlds, blending in-person and online learning. It’s great if you live near a facility but need flexibility or prefer a mix of learning environments.

Analyze their curriculum 

While some bootcamps specialize in specific areas of data science, you can generally expect to cover topics like:

  • Python programming
  • Machine learning
  • Statistics
  • A/B testing
  • Intermediate Excel
  • Linear regression
  • Databases (MySQL, MongoDB, etc.)

Bootcamps are usually project-based, so expect hands-on learning rather than lectures. Review the curriculum carefully to ensure it matches your career goals.

Check the alumni reviews

It’s crucial to choose a bootcamp from a reputable institution. Look for characteristics like:

  • Positive reviews from alumni and students
  • Longevity (program offered for at least 3 years)
  • Recent CIRR outcomes (Council on Integrity in Results Reporting)
  • Various financing options and lending partnerships
  • Career support quality and application process selectivity

Free online resources can help rank bootcamps, but also seek recommendations from industry professionals or employers for reputable programs that align with your goals.

Review the fees and costs

Data science bootcamps typically range from $8,940 to $16,000. While you can’t use FAFSA for financial aid, some bootcamps offer options like deferred tuition or income share agreements. Your employer might also provide tuition reimbursement for career advancement.

Best data science bootcamps in 2024: Factors to consider.

2 Best Alternatives to Data Science Bootcamps

If you decide a data science bootcamp isn’t right for your goals, you have options. The list below outlines a few similar offerings from industry leaders in technology:

IBM Data Science Professional Certificate

This 100-percent online, self-paced program is designed to cover all the latest job-ready skills and tools. Using real-world data sets, you’ll work with open-source tools and libraries, databases, and the IBM Cloud. By the end, you’ll have built a portfolio of projects and earned a Professional Certificate from IBM.

IBM data anlytics certification.

Google Data Analytics Professional Certificate

Seventy-five percent of Google Career Certificate Graduates in the US report an improvement in their career trajectory within six months of completion.

In this program, you’ll gain data cleaning, data ethics, and data visualization skills while working with industry tools and platforms like SQL, Tableau, and R programming. Upon completion, you’ll earn a Professional Certificate from Google for your resume.

Google data analytic certification.

What You Should Do Now

Get a hands-on introduction to data analytics and python to carry out your first analysis with our free, self-paced course for beginners.

Go to atomcamp’s website, gather the necessary information, and if you have any questions, talk to our team. Take part in our free online data analytics events with industry experts, and read our publications like ‘How to learn data analytics skills: A beginner’s guide in 2024’.

Best Data Science Bootcamps in 2024: Our Conclusion

Not all data science bootcamps are cut from the same cloth, so finding the right one that aligns with your unique needs and goals is crucial. Whether you’re a newbie starting from scratch or a seasoned pro looking to level up, there’s a bootcamp out there tailored to your journey.

For beginners, a comprehensive, mentor-led bootcamp with a focus on career transition is ideal. If you’re already acquainted with the basics and aiming to enhance your skills, you might lean towards a bootcamp with a more specialized approach.

Regardless of where you stand in your career or skill level, data science bootcamps offer numerous perks. They’re typically more flexible and budget-friendly compared to traditional university programs, and they emphasize a hands-on learning experience—a big plus for those eyeing a career in data science.

Gone are the days when brick-and-mortar institutions were seen as the gold standard. As remote work becomes increasingly prevalent, attitudes towards education are evolving too.

So, if a data science bootcamp seems like the right path for you, don’t hesitate to dive in! With a solid portfolio and a reputable certification under your belt, you’ll be well-equipped to tackle the data science job market with confidence.