18 Best Data Science Bootcamps in 2025 – Price, Curriculum, Reviews
Data science is exploding right now. Jobs in this field are expected to grow by 34% in the next ten years, which is much faster than most other careers.
But learning data science can feel overwhelming. You need to know Python, statistics, machine learning, how to make charts, and how to solve problems with data.
Benefits of Bootcamps
Bootcamps make it easier by breaking data science into clear, hands-on steps. You work on real projects, get guidance from mentors who are actually in the field, and build a portfolio that shows what you can do.
Whether you want a new job, sharpen your skills, or just explore data science, a bootcamp is a great way to get started. Many students go on to roles as data analysts or junior data scientists.
In this guide, we break down the 18 best data science bootcamps for 2025. We look at the price, what you’ll learn, how the programs are run, and what students think so you can pick the one that works best for you.
What You Will Learn in a Data Science Bootcamp
Data science bootcamps teach you the skills you need to work with data in the real world. You will learn to collect, clean, analyze, and visualize data, build models, and present your findings clearly.
By the end of a bootcamp, you will have hands-on experience and projects you can include in your portfolio.
Here is a quick overview of what you usually learn:
| Topic | What you'll learn |
|---|---|
| Programming fundamentals | Python or R basics, plus key libraries like NumPy, Pandas, and Matplotlib. |
| Data cleaning & wrangling | Handling missing data, outliers, and formatting issues for reliable results. |
| Data visualization | Creating charts and dashboards using Tableau, Power BI, or Seaborn. |
| Statistics & probability | Regression, distributions, and hypothesis testing for data-driven insights. |
| Machine learning | Building predictive models using scikit-learn, TensorFlow, or PyTorch. |
| SQL & databases | Extracting and managing data with SQL queries and relational databases. |
| Big data & cloud tools | Working with large datasets using Spark, AWS, or Google Cloud. |
| Data storytelling | Presenting insights clearly through reports, visuals, and communication skills. |
| Capstone projects | Real-world projects that build your portfolio and show practical experience. |
Bootcamp vs Course vs Fellowship vs Degree
There are many ways to learn data science. Each path works better for different goals, schedules, and budgets. Here’s how they compare.
| Feature | Bootcamp | Online Course | Fellowship | University Degree |
|---|---|---|---|---|
| Overview | Short, structured programs designed to teach practical, job-ready skills fast. They focus on real projects, mentorship, and career support. | Flexible and affordable, ideal for learning at your own pace. They're great for testing interest or focusing on specific skills. | Combine mentorship and applied projects, often with funding or partnerships. They're selective and suited for those with some technical background. | Provide deep theoretical and technical foundations. They're the most recognized option but also the most time- and cost-intensive. |
| Duration | 3–9 months | A few weeks to several months | 3–12 months | 2–4 years |
| Cost | \$3,000–\$18,000 | Free–\$2,000 | Often free or funded | \$25,000–\$80,000+ |
| Format | Fast-paced, project-based format | Self-paced, topic-focused learning | Research or industry-based projects | Academic and theory-heavy structure |
| Key Features | Includes portfolio building and resume guidance | Covers tools like Python, SQL, and machine learning | Provides professional mentorship and networking | Includes math, statistics, and computer science fundamentals |
| Best For | Career changers or professionals seeking a quick transition | Beginners or those upskilling part-time | Advanced learners or graduates gaining experience | Students pursuing academic or research-focused careers |
Top Data Science Bootcamps
Data science bootcamps help you learn the skills needed for a job in data science. Each program differs in price, length, and style. This list will show the best ones, what you will learn, and who they’re good for.
1. Dataquest
Price: Free to start; paid plans available for full access (\$49 monthly and \$588 annual).
Duration: ~11 months (recommended pace: 5 hrs/week).
Format: Online, self-paced.
Rating: 4.79/5
Key Features:
- Beginner-friendly, no coding experience required
- 38 courses and 26 guided projects
- Hands-on, code-in-browser learning
- Portfolio-based certification
If you like learning by doing, Dataquest’s Data Scientist in Python Certificate Program is a great choice. Everything happens in your browser. You write Python code, get instant feedback, and work on hands-on projects using tools like pandas and Matplotlib.
While Dataquest isn’t a traditional bootcamp, it’s just as effective. The program follows a clear path that teaches you Python, data cleaning, visualization, SQL, and machine learning.
You’ll start from scratch and move step by step into more advanced topics like building models and analyzing real data. Its hands-on projects help you apply what you learn, build a strong portfolio, and get ready for data science roles.
| Pros | Cons |
|---|---|
| ✅ Affordable compared to full bootcamps | ❌ No live mentorship or one-on-one support |
| ✅ Flexible, self-paced structure | ❌ Limited career guidance |
| ✅ Strong hands-on learning with real projects | ❌ Requires high self-discipline to stay consistent |
| ✅ Beginner-friendly and well-structured | |
| ✅ Covers core tools like Python, SQL, and machine learning |
“I used Dataquest since 2019 and I doubled my income in 4 years and became a Data Scientist. That’s pretty cool!” - Leo Motta - Verified by LinkedIn
“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing than watching videos and it made me want to keep learning.” - Jessica Ko, Machine Learning Engineer at Twitter
2. BrainStation
Price: Around \$16,500 (varies by location and financing options)
Duration: 6 months (part-time, designed for working professionals).
Format: Available online and on-site in New York, Miami, Toronto, Vancouver, and London. Part-time with evening and weekend classes.
Rating: 4.66/5
Key Features:
- Flexible evening and weekend schedule
- Hands-on projects based on real company data
- Focus on Python, SQL, Tableau, and AI tools
- Career coaching and portfolio support
- Active global alumni network
BrainStation’s Data Science Bootcamp lets you learn part-time while keeping your full-time job. You work with real data and tools like Python, SQL, Tableau, scikit-learn, TensorFlow, and AWS.
Students build industry projects and take part in “industry sprint” challenges with real companies. The curriculum covers data analysis, data visualization, big data, machine learning, and generative AI.
From the start, students get one-on-one career support. This includes help with resumes, interviews, and portfolios. Many graduates now work at top companies like Meta, Deloitte, and Shopify.
| Pros | Cons |
|---|---|
| ✅ Instructors with strong industry experience | ❌ Expensive compared to similar online bootcamps |
| ✅ Flexible schedule for working professionals | ❌ Fast-paced, can be challenging to keep up |
| ✅ Practical, project-based learning with real company data | ❌ Some topics are covered briefly without much depth |
| ✅ 1-on-1 career support with resume and interview prep | ❌ Career support is not always highly personalized |
| ✅ Modern curriculum including AI, ML, and big data | ❌ Requires strong time management and prior technical comfort |
“Having now worked as a data scientist in industry for a few months, I can really appreciate how well the course content was aligned with the skills required on the job.” - Joseph Myers
“BrainStation was definitely helpful for my career, because it enabled me to get jobs that I would not have been competitive for before. “ - Samit Watve, Principal Bioinformatics Scientist at Roche
3. NYC Data Science Academy
Price: \$17,600 (third-party financing available via Ascent and Climb Credit)
Duration: In-person (New York), remote live, or online. Full-time (12–16 weeks) and part-time (24 weeks) options available.
Format: In-person (New York) or online (live and self-paced).
Rating: 4.86/5
Key Features:
- Taught by industry experts
- Prework and entry assessment
- Financing options available
- Learn R and Python
- Company capstone projects
- Lifetime alumni network access
NYC Data Science Academy offers one of the most detailed and technical programs in data science. The Data Science with Machine Learning Bootcamp teaches both Python and R, giving students a strong base in programming.
It covers data analytics, machine learning, big data, and deep learning with tools like TensorFlow, Keras, scikit-learn, and SpaCy. Students complete 400 hours of training, four projects, and a capstone with New York City companies. These projects give them real experience and help build strong portfolios.
The bootcamp also includes prework in programming, statistics, and calculus. Career support is ongoing, with resume help, mock interviews, and alumni networking. Many graduates now work in top tech and finance companies.
| Pros | Cons |
|---|---|
| ✅ Teaches both Python and R | ❌ Expensive compared to similar programs |
| ✅ Instructors with real-world experience (many PhD-level) | ❌ Fast-paced and demanding workload |
| ✅ Includes real company projects and capstone | ❌ Requires some technical background to keep up |
| ✅ Strong career services and lifelong alumni access | ❌ Limited in-person location (New York only) |
| ✅ Offers financing and scholarships | ❌ Admission process can be competitive |
"The opportunity to network was incredible. You are beginning your data science career having forged strong bonds with 35 other incredibly intelligent and inspiring people who go to work at great companies." - David Steinmetz, Machine Learning Data Engineer at Capital One
“My journey with NYC Data Science Academy began in 2018 when I enrolled in their Data Science and Machine Learning bootcamp. As a Biology PhD looking to transition into Data Science, this bootcamp became a pivotal moment in my career. Within two months of completing the program, I received offers from two different groups at JPMorgan Chase.” - Elsa Amores Vera
4. Le Wagon
Price: From €7,900 (online full-time course; pricing varies by location).
Duration: 9 weeks (full-time) or 24 weeks (part-time).
Format: Online or in-person (on 28+ campuses worldwide).
Rating: 4.95/5
Key Features:
- Offers both Data Science & AI and Data Analytics tracks
- Includes AI-first Python coding and GenAI modules
- 28+ global campuses plus online flexibility
- University partnerships for degree-accredited pathways
- Option to combine with MSc or MBA programs
- Career coaching in multiple countries
Le Wagon’s Data Science & AI Bootcamp is one of the top-rated programs in the world. It focuses on hands-on projects and has a strong career network.
Students learn Python, SQL, machine learning, deep learning, and AI engineering using tools like TensorFlow and Keras.
In 2025, new modules on LLMs, RAGs, and reinforcement learning were added to keep up with current AI trends. Before starting, students complete a 30-hour prep course to review key skills. After graduation, they get career support for job searches and portfolio building.
The program is best for learners who already know some programming and math and want to move into data science or AI roles. Graduates often find jobs at companies like IBM, Meta, ASOS, and Capgemini.
| Pros | Cons |
|---|---|
| ✅ Supportive, high-energy community that keeps you motivated | ❌ Intense schedule, expect full commitment and long hours |
| ✅ Real-world projects that make a solid portfolio | ❌ Some students felt post-bootcamp job help was inconsistent |
| ✅ Global network and active alumni events in major cities | ❌ Not beginner-friendly, assumes coding and math basics |
| ✅ Teaches both data science and new GenAI topics like LLMs and RAGs | ❌ A few found it pricey for a short program |
| ✅ University tie-ins for MSc or MBA pathways | ❌ Curriculum depth can vary depending on campus |
“Looking back, applying for the Le Wagon data science bootcamp after finishing my master at the London School of Economics was one of the best decisions. Especially coming from a non-technical background it is incredible to learn about that many, super relevant data science topics within such a short period of time.” - Ann-Sophie Gernandt
“The bootcamp exceeded my expectations by not only equipping me with essential technical skills and introducing me to a wide range of Python libraries I was eager to master, but also by strengthening crucial soft skills that I've come to understand are equally vital when entering this field.” - Son Ma
5. Springboard
Price: \$9,900 (upfront with discount). Other options include monthly, deferred, or financed plans.
Duration: ~6 months part-time (20–25 hrs/week).
Format: 100% online, self-paced with 1:1 mentorship and career coaching.
Rating: 4.6/5
Key Features:
- Partnered with DataCamp for practical SQL projects
- Optional beginner track (Foundations to Core)
- Real mentors from top tech companies
- Verified outcomes and transparent reports
- Ongoing career support after graduation
Springboard’s Data Science Bootcamp is one of the most flexible online programs. It’s a great choice for professionals who want to study while working full-time. The program is fully online and combines project-based learning with 1:1 mentorship. In six months, students complete 28 small projects, three major capstones, and a final advanced project.
The curriculum includes Python, data wrangling, machine learning, storytelling with data, and AI for data professionals. Students practice with SQL, Jupyter, scikit-learn, and TensorFlow.
A key feature of this bootcamp is its Money-Back Guarantee. If graduates meet all course and job search requirements but don’t find a qualifying job, they may receive a full refund. On average, graduates see a salary increase of over \$25K, with most finding jobs within 12 months.
| Pros | Cons |
|---|---|
| ✅ Strong mentorship and career support | ❌ Expensive compared to similar online programs |
| ✅ Flexible schedule, learn at your own pace | ❌ Still demanding, requires strong time management |
| ✅ Money-back guarantee adds confidence | ❌ Job-guarantee conditions can be strict |
| ✅ Includes practical projects and real portfolio work | ❌ Prior coding and stats knowledge recommended |
| ✅ Transparent outcomes and solid job placement rates | ❌ Less sense of community than in-person programs |
“Springboard's approach helped me get projects under my belt, build a solid foundation, and create a portfolio that I could show off to employers.” - Lou Zhang, Director of Data Science at Machine Metrics
“I signed up for Springboard's Data Science program and it was definitely the best career-related decision I've made in many years.” - Michael Garber
6. Data Science Dojo
Price: Around \$3,999, according to Course Report. (eligible for tuition benefits and reimbursement through The University of New Mexico).
Duration: Self-paced.
Format: Online, self-paced (no live or part-time cohorts currently available).
Rating: 4.91/5
Key Features:
- Verified certificate from the University of New Mexico
- Eligible for employer reimbursement or license renewal
- Teaches in both R and Python
- 12,000+ alumni and 2,500+ partner companies
- Option to join an active data science community and alumni network
Data Science Dojo’s Data Science Bootcamp is an intensive program that teaches the full data science process. Students learn data wrangling, visualization, predictive modeling, and deployment using both R and Python.
The curriculum also includes text analytics, recommender systems, and machine learning. Graduates earn a verified certificate from The University of New Mexico Continuing Education. Employers recognize this certificate for reimbursement and license renewal.
The bootcamp attracts people from both technical and non-technical backgrounds. It’s now available online and self-paced, with an estimated 16-week duration, according to Course Report.
| Pros | Cons |
|---|---|
| ✅ Teaches both R and Python | ❌ Very fast-paced and intense |
| ✅ Strong, experienced instructors | ❌ Limited job placement support |
| ✅ Focuses on real-world, practical skills | ❌ Not ideal for complete beginners |
| ✅ Verified certificate from the University of New Mexico | ❌ No live or part-time options currently available |
| ✅ High student satisfaction (4.9/5 average rating) | ❌ Short duration means less depth in advanced topics |
“What I enjoyed most about the Data Science Dojo bootcamp was the enthusiasm for data science from the instructors.” Eldon Prince, Senior Principal Data Scientist at DELL
“Great training that covers most of the important aspects and methods used in data science.I really enjoyed real-life examples and engaging discussions. Instructors are great and the teaching methods are excellent.” - Agnieszka Bachleda-Baca
7. General Assembly
Price: \$16,450 total, or \$10,000 with the pay-in-full discount. Flexible installment and loan options are also available.
Duration: 12 weeks (full-time).
Format: Online live (remote) or in-person at select campuses.
Rating: 4.31/5
Key Features:
- Live, instructor-led sessions with practical projects
- Updated lessons on AI, ML, and data tools
- Capstone project solving a real-world problem
- Personalized career guidance and job search support
- Access to GA’s global alumni and hiring network
General Assembly’s Data Science Bootcamp is a 12-week course focused on practical, technical skills. Students learn Python, data analysis, statistics, and machine learning with tools like NumPy, Pandas, scikit-learn, and TensorFlow.
The program also covers neural networks, natural language processing, and generative AI. In the capstone, students practice the entire data workflow, from problem definition to final presentation. Instructors give guidance and feedback at every stage.
Students also receive career support, including help with interviews and job preparation. Graduates earn a certificate and join General Assembly’s global network of data professionals.
| Pros | Cons |
|---|---|
| ✅ Hands-on learning with real data projects | ❌ Fast-paced, can be hard to keep up |
| ✅ Supportive instructors and teaching staff | ❌ Expensive compared to similar programs |
| ✅ Good mix of Python, ML, and AI topics | ❌ Some lessons feel surface-level |
| ✅ Career support with resume and interview help | ❌ Job outcomes depend heavily on student effort |
| ✅ Strong global alumni and employer network | ❌ Not ideal for those without basic coding or math skills |
“The instructors in my data science class remain close colleagues, and the same for students. Not only that, but GA is a fantastic ecosystem of tech. I’ve made friends and gotten jobs from meeting people at events held at GA.” - Kevin Coyle GA grad, Data Scientist at Capgemini
“My experience with GA has been nothing but awesome. My instructor has a solid background in Math and Statistics, he is able to explain abstract concepts in a simple and easy-to-understand manner.” - Andy Chan
8. Flatiron School
Price: \$17,500 (discounts available, sometimes as low as \$9,900). Payment options include upfront payment, monthly plans, or traditional loans.
Duration: 15 weeks full-time or 45 weeks part-time.
Format: Online (live and self-paced options).
Rating: 4.46/5
Key Features:
- Focused, beginner-accessible curriculum
- Emphasis on Python, SQL, and data modeling
- Real projects integrated into each module
- Small cohort sizes and active instructor support
- Career coaching and access to employer network
Flatiron School’s Data Science Bootcamp is a structured program that focuses on practical learning.
Students begin with Python, data analysis, and visualization using Pandas and Seaborn. Later, they learn SQL, statistics, and machine learning. The course includes small projects and ends with a capstone that ties everything together.
Students get help from instructors and career coaches throughout the program. They also join group sessions and discussion channels for extra support.
By the end, graduates have a portfolio. It shows they can clean data, find patterns, and build predictive models using real datasets.
| Pros | Cons |
|---|---|
| ✅ Strong focus on hands-on projects and portfolio building | ❌ Fast-paced and demanding schedule |
| ✅ Supportive instructors and responsive staff | ❌ Expensive compared to other online programs |
| ✅ Solid career services and post-graduation coaching | ❌ Some lessons can feel basic or repetitive |
| ✅ Good pre-work that prepares beginners | ❌ Can be challenging for students with no prior coding background |
| ✅ Active online community and peer support | ❌ Job outcomes vary based on individual effort and location |
“It’s crazy for me to think about where I am now from where I started. I’ve gained many new skills and made many valuable connections on this ongoing journey. It may be a little cliche, but it is that hard work pays off.” - Zachary Greenberg, Musician who became a data scientist
“I had a fantastic experience at Flatiron that ended up in me receiving two job offers two days apart, a month after my graduation!” - Fernando
9. 4Geeks Academy
Price: From around €200/month (varies by country and plan). Upfront payment discount and scholarships available.
Duration: 16 weeks (part-time, 3 classes per week).
Format: Online or in-person across multiple global campuses (US, Canada, Europe, and LATAM).
Rating: 4.85/5
Key Features:
- AI-powered feedback and personalized support
- Available in English or Spanish worldwide
- Industry-recognized certificate
- Lifetime career services
4Geeks Academy’s Data Science and Machine Learning with AI Bootcamp teaches practical data and AI skills through hands-on projects.
Students start with Python basics and move into data collection, cleaning, and modeling using Pandas and scikit-learn. They later explore machine learning and AI, working with algorithms like decision trees, K-Nearest Neighbors, and neural networks in TensorFlow.
The course focuses on real-world uses such as fraud detection and natural language processing. It also covers how to maintain production-ready AI systems.
The program ends with a final project where students build and deploy their own AI model. This helps them show their full workflow skills, from data handling to deployment.
Students receive unlimited mentorship, AI-based feedback, and career coaching that continues after graduation.
| Pros | Cons |
|---|---|
| ✅ Unlimited 1:1 mentorship and career coaching for life | ❌ Some students say support quality varies by campus or mentor |
| ✅ AI-powered learning assistant gives instant feedback | ❌ Not all assignments use the AI tool effectively yet |
| ✅ Flexible global access with English and Spanish cohorts | ❌ Time zone differences can make live sessions harder for remote learners |
| ✅ Small class sizes (usually under 12 students) | ❌ Limited networking opportunities outside class cohorts |
| ✅ Job guarantee available (get hired in 9 months or refund) | ❌ Guarantee conditions require completing every career step exactly |
“My experience with 4Geeks has been truly transformative. From day one, the team was committed to providing me with the support and tools I needed to achieve my professional goals.” - Pablo Garcia del Moral
“From the very beginning, it was a next-level experience because the bootcamp's standard is very high, and you start programming right from the start, which helped me decide to join the academy. The diverse projects focused on real-life problems have provided me with the practical level needed for the industry.” - Fidel Enrique Vera
10. Turing College
Price: \$25,000 (includes a new laptop; \$1,200 deposit required to reserve a spot).
Duration: 8–12 months, flexible pace (15+ hours/week).
Format: Online, live mentorship, and peer reviews.
Rating: 4.94/5
Key Features:
- Final project based on a real business problem
- Smart learning platform that adjusts to your pace
- Direct referrals to hiring partners after endorsement
- Mentors from top tech companies
- Scholarships for top EU applicants
Turing College’s Data Science & AI program is a flexible, project-based course. It’s built for learners who want real technical experience.
Students start with Python, data wrangling, and statistical inference. Then they move on to supervised and unsupervised machine learning using scikit-learn, XGBoost, and PyTorch.
The program focuses on solving real business problems such as predictive modeling, text analysis, and computer vision.
The final capstone mimics a client project and includes data cleaning, model building, and presentation. The self-paced format lets students study about 15 hours a week. They also get regular feedback from mentors and peers.
Graduates build strong technical foundations through the adaptive learning platform and one-on-one mentorship. They finish with an industry-ready portfolio that shows their data science and AI skills.
| Pros | Cons |
|---|---|
| ✅ Unique peer-review system that mimics real workplace feedback | ❌ Fast pace can be tough for beginners without prior coding experience |
| ✅ Real business-focused projects instead of academic exercises | ❌ Requires strong self-management to stay on track |
| ✅ Adaptive learning platform that adjusts content and pace | ❌ Job placement not guaranteed despite high employment rate |
| ✅ Self-paced sprint model with structured feedback cycles | ❌ Fully online setup limits live team collaboration |
“Turing College changed my life forever! Studying at Turing College was one of the best things that happened to me.” - Linda Oranya, Data scientist at Metasite Data Insights
“A fantastic experience with a well-structured teaching model. You receive quality learning materials, participate in weekly meetings, and engage in mutual feedback—both giving and receiving evaluations. The more you participate, the more you grow—learning as much from others as you contribute yourself. Great people and a truly collaborative environment.” - Armin Rocas
11. TripleTen
Price: From \$8,505 upfront with discounts (standard listed price around \$12,150). Installment plans from ~\$339/month and “learn now, pay later” financing are also available.
Duration: 9 months, part-time (around 20 hours per week).
Format: Online, flexible part-time.
Rating: 4.84/5
Key Features:
- Real-company externships
- Curriculum updated every 2 weeks
- Hands-on AI tools (Python, TensorFlow, PyTorch)
- 15 projects plus a capstone
- Beginner-friendly, no STEM background needed
- Job guarantee (conditions apply)
- 1:1 tutor support from industry experts
TripleTen’s AI & Machine Learning Bootcamp is a nine-month, part-time program.
It teaches Python, statistics, and machine learning basics. Students then learn neural networks, NLP, computer vision, and large language models. They work with tools like NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, SQL, and basic MLOps for deployment.
The course is split into modules with regular projects and code reviews. Students complete 15 portfolio projects, including a final capstone. They can also join externships with partner companies to gain more experience.
TripleTen provides career support throughout the program. It also offers a job guarantee for students who finish the course and meet all job search requirements.
| Pros | Cons |
|---|---|
| ✅ Regular 1-on-1 tutoring and responsive coaches | ❌ Pace is fast, can be tough with little prior experience |
| ✅ Structured program with 15 portfolio-building projects | ❌ Results depend heavily on effort and local job market |
| ✅ Open to beginners (no STEM background required) | ❌ Support quality and scheduling can vary by tutor or time zone |
“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication.” - Rachelle Perez - Data Engineer at Spotify
“This bootcamp has been challenging in the best way! The material is extremely thorough, from data cleaning to implementing machine learning models, and there are many wonderful, responsive tutors to help along the way.” - Shoba Santosh
12. Colaberry
Price: \$4,000 for full Data Science Bootcamp (or \$1,500 per individual module).
Duration: 24 weeks total (three 8-week courses).
Format: Fully online, instructor-led with project-based learning.
Rating: 4.76/5
Key Features:
- Live, small-group classes with instructors from the industry
- Real projects in every module, using current data tools
- Job Readiness Program with interview and resume coaching
- Evening and weekend sessions for working learners
- Open to beginners familiar with basic coding concepts
Colaberry’s Data Science Bootcamp is a fully online, part-time program. It builds practical skills in Python, data analysis, and machine learning.
The course runs in three eight-week modules, covering data handling, visualization, model training, and evaluation. Students work with NumPy, Pandas, Matplotlib, and scikit-learn while applying their skills to guided projects and real datasets.
After finishing the core modules, students can join the Job Readiness Program. It includes portfolio building, interview preparation, and one-on-one mentoring.
The program provides a structured path to master technical foundations and career skills. It helps students move into data science and AI roles with confidence.
“The training was well structured, it is more practical and Project-based. The instructor made an incredible effort to help us and also there are organized support team that assist with anything we need.” - Kalkidan Bezabeh
“The instructors were excellent and friendly. I learned a lot and made some new friends. The training and certification have been helpful. I plan to enroll in more courses with colaberry.” - Micah Repke
13. allWomen
Price: €2,600 upfront or €2,900 in five installments (employer sponsorship available for Spain-based students).
Duration: 12 weeks (120 hours total).
Format: Live-online, part-time (3 live sessions per week).
Rating: 4.85/5
Key Features:
- English-taught, led by women in AI and data science
- Includes AI ethics and generative AI modules
- Open to non-technical learners
- Final project built on AWS and presented at Demo Day
- Supportive, mentor-led learning environment
The allWomen Artificial Intelligence Bootcamp is a 12-week, part-time program. It teaches AI and data science through live online classes.
Students learn Python, data analysis, machine learning, NLP, and generative AI. Most lessons are project-based, with a mix of guided practice and independent study. The mix of self-study and live sessions makes it easy to fit the program around work or school.
Students complete several projects, including a final AI tool built and deployed on AWS. The course also covers AI ethics and responsible model use.
This program is designed for women who want a structured start in AI and data science. It’s ideal for beginners who are new to coding and prefer small, supportive classes with instructor guidance.
| Pros | Cons |
|---|---|
| ✅ Supportive, women-only environment that feels safe for beginners | ❌ Limited job placement support once the course ends |
| ✅ Instructors actively working in AI, bringing current industry examples | ❌ Fast pace can be tough without prior coding experience |
| ✅ Real projects and Demo Day make it easier to show practical work | ❌ Some modules feel short, especially for advanced topics |
| ✅ Focus on AI ethics and responsible model use, not just coding | ❌ Smaller alumni network compared to global bootcamps |
| ✅ Classes fully in English with diverse, international students | ❌ Most networking events happen locally in Spain |
| ✅ Encourages confidence and collaboration over competition | ❌ Requires self-study time outside live sessions to keep up |
“I became a student of the AI Bootcamp and it turned out to be a great decision for me. Everyday, I learned something new from the instructors, from knowledge to patience. Their guidance was invaluable for me." - Divya Tyagi, Embedded and Robotics Engineer
“I enjoyed every minute of this bootcamp (May-July 2021 edition), the content fulfilled my expectations and I had a great time with the rest of my colleagues.” - Blanca
14. Clarusway
Price: \$13,800 (discounts for upfront payment; financing and installment options available).
Duration: 7.5 months (32 weeks, part-time).
Format: Live-online, interactive classes.
Rating: 4.92/5
Key Features:
- Combines data analytics and AI in one program
- Includes modules on prompt engineering and ChatGPT-style tools
- Built-in LMS with lessons, projects, and mentoring
- Two capstone projects for real-world experience
- Career support with resume reviews and mock interviews
Clarusway’s Data Analytics & Artificial Intelligence Bootcamp is a structured, part-time program. It teaches data analysis, machine learning, and AI from the ground up.
Students start with Python, statistics, and data visualization, then continue to machine learning, deep learning, and prompt engineering.
The course is open to beginners and includes over 350 hours of lessons, labs, and projects. Students learn through Clarusway’s interactive LMS, where all lessons, exercises, and career tools are in one place.
The program focuses on hands-on learning with multiple projects and two capstones before graduation.
It’s designed for learners who want a clear, step-by-step path into data analytics or AI. Students get live instruction and mentorship throughout the course.
| Pros | Cons |
|---|---|
| ✅ Experienced instructors and mentors who offer strong guidance | ❌ Fast-paced program that can be overwhelming for beginners |
| ✅ Hands-on learning with real projects and capstones | ❌ Job placement isn't guaranteed and depends on student effort |
| ✅ Supportive environment for career changers with no tech background | ❌ Some reviews mention inconsistent session quality |
| ✅ Comprehensive coverage of data analytics, AI, and prompt engineering | ❌ Heavy workload if balancing the bootcamp with a full-time job |
| ✅ Career coaching with resume reviews and interview prep | ❌ Some course materials occasionally need updates |
“I think it was a very successful bootcamp. Focusing on hands-on work and group work contributed a lot. Instructors and mentors were highly motivated. Their contributions to career management were invaluable.” - Ömer Çiftci
“They really do their job consciously and offer a quality education method. Instructors and mentors are all very dedicated to their work. Their aim is to give students a good career and they are very successful at this.” - Ridvan Kahraman
15. Ironhack
Price: €8,000.
Duration: 9 weeks full-time or 24 weeks part-time.
Format: Online (live, instructor-led) and on-site at select campuses in Europe and the US.
Rating: 4.78/5
Key Features:
- 24/7 AI tutor with instant feedback
- Modules on computer vision and NLP
- Optional prework for math and coding basics
- Global network of mentors and alumni
Ironhack’s Remote Data Science & Machine Learning Bootcamp is an intensive, online program. It teaches data analytics and AI through a mix of live classes and guided practice.
Students start with Python, statistics, and probability. Later, they learn machine learning, data modeling, and advanced topics like computer vision, NLP, and MLOps.
Throughout the program, students complete several projects using real datasets. And they’ll build a public GitHub portfolio to show their work.
The bootcamp also offers up to a year of career support, including resume feedback, mock interviews, and networking events.
With a flexible schedule and AI-assisted tools, this bootcamp is great for beginners who want a hands-on way to start a career in data science and AI.
| Pros | Cons |
|---|---|
| ✅ Supportive, knowledgeable instructors | ❌ Fast-paced and time-intensive |
| ✅ Strong focus on real projects and applied skills | ❌ Job placement depends heavily on student effort |
| ✅ Flexible format (online or on-site in multiple cities) | ❌ Some course materials reported as outdated by past students |
| ✅ Global alumni network for connections and mentorship | ❌ Remote learners may face time zone challenges |
| ✅ Beginner-friendly with optional prework | ❌ Can feel overwhelming without prior coding or math background |
“I've decided to start coding and learning data science when I no longer was happy being a journalist. In 3 months, i've learned more than i could expect: it was truly life changing! I've got a new job in just two months after finishing my bootcamp and couldn't be happier!” - Estefania Mesquiat lunardi Serio
“I started the bootcamp with little to no experience related to the field and finished it ready to work. This materialized as a job in only ten days after completing the Career Week, where they prepared me for the job hunt.” - Alfonso Muñoz Alonso
16. WBS CODING SCHOOL
Price: €9,900 full-time / €7,000 part-time, or free with Bildungsgutschein.
Duration: 17 weeks full-time.
Format: Online (live, instructor-led) or on-site in Berlin.
Rating: 4.84/5
Key Features:
- Covers Python, SQL, Tableau, ML, and Generative AI
- Includes a 3-week final project with real data
- 1-year career support after graduation
- PCEP certification option for graduates
- AI assistant (NOVA) + recorded sessions for review
WBS CODING SCHOOL’s Data Science Bootcamp is a 17-week, full-time program that combines live classes with hands-on projects.
Students begin with Python, SQL, and Tableau, then move on to machine learning, A/B testing, and cloud tools like Google Cloud Platform.
The program also includes a short module on Generative AI and LLMs, where students build a simple chatbot to apply their skills. The next part of the course focuses on applying everything in practical settings.
Students work on smaller projects before the final capstone, where they solve a real business problem from start to finish.
Graduates earn a PCEP certification and get career support for 12 months after completion. The school provides coaching, resume help, and access to hiring partners. These services help students move smoothly into data science careers after the bootcamp.
| Pros | Cons |
|---|---|
| ✅ Covers modern topics like Generative AI and LLMs | ❌ Fast-paced, challenging for total beginners |
| ✅ Includes PCEP certification for Python skills | ❌ Mandatory live attendance limits flexibility |
| ✅ AI assistant (NOVA) gives quick support and feedback | ❌ Some reports of uneven teaching quality |
| ✅ Backed by WBS Training Group with strong EU reputation | ❌ Job outcomes depend heavily on student initiative |
“Attending the WBS Bootcamp has been one of the most transformative experiences of my educational journey. Without a doubt, it is one of the best schools I have ever been part of. The range of skills and practical knowledge I’ve gained in such a short period is something I could never have acquired on my own.” - Racheal Odiri Awolope
“I recently completed the full-time data science bootcamp at WBS Coding School. Without any 2nd thought I rate the experience from admission till course completion the best one.” - Anish Shiralkar
17. DataScientest
Price: €7,190 (Bildungsgutschein covers full tuition for eligible students).
Duration: 14 weeks full-time or 11.5 months part-time.
Format: Hybrid – online learning platform with live masterclasses (English or French cohorts).
Rating: 4.69/5
Key Features:
- Certified by Paris 1 Panthéon-Sorbonne University
- Includes AWS Cloud Practitioner certification
- Hands-on 120-hour final project
- Covers MLOps, Deep Learning, and Reinforcement Learning
- 98% completion rate and 95% success rate
DataScientest’s Data Scientist Course focuses on hands-on learning led by working data professionals.
Students begin with Python, data analysis, and visualization. Later, they study machine learning, deep learning, and MLOps. The program combines online lessons with live masterclasses.
Learners use TensorFlow, PySpark, and Docker to understand how real projects work. Students apply what they learn through practical exercises and a 120-hour final project. This project involves solving a real data problem from start to finish.
Graduates earn certifications from Paris 1 Panthéon-Sorbonne University and AWS. With mentorship and career guidance, the course offers a clear, flexible way to build strong data science skills.
| Pros | Cons |
|---|---|
| ✅ Clear structure with live masterclasses and online modules | ❌ Can feel rushed for learners new to coding |
| ✅ Strong mentor and tutor support throughout | ❌ Not as interactive as fully live bootcamps |
| ✅ Practical exercises built around real business problems | ❌ Limited community reach beyond Europe |
| ✅ AWS and Sorbonne-backed certification adds credibility | ❌ Some lessons rely heavily on self-learning outside sessions |
“I found the training very interesting. The content is very rich and accessible. The 75% autonomy format is particularly beneficial. By being mentored and 'pushed' to pass certifications to reach specific milestones, it maintains a pace.” - Adrien M., Data Scientist at Siderlog Conseil
“The DataScientest Bootcamp was very well designed — clear in structure, focused on real-world applications, and full of practical exercises. Each topic built naturally on the previous one, from Python to Machine Learning and deployment.” - Julia
18. Imperial College London x HyperionDev
Price: \$6,900 (discounted upfront) or \$10,235 with monthly installments.
Duration: 3–6 months (full-time or part-time).
Format: Online, live feedback and mentorship.
Rating: 4.46/5
Key Features:
- Quality-assured by Imperial College London
- Real-time code reviews and mentor feedback
- Beginner-friendly with guided Python projects
- Optional NLP and AI modules
- Short, career-focused format with flexible pacing
The Imperial College London Data Science Bootcamp is delivered with HyperionDev. It combines university-level training with flexible online learning.
Students learn Python, data analysis, probability, statistics, and machine learning. They use tools like NumPy, pandas, scikit-learn, and Matplotlib.
The course also includes several projects plus optional NLP and AI applications. These help students build a practical portfolio.
The bootcamp is open to beginners with no coding experience. Students get daily code reviews, feedback, and mentoring for steady support. Graduates earn a certificate from Imperial College London. They also receive career help for 90 days after finishing the course.
The bootcamp has clear pricing, flexible pacing, and a trusted academic partner. It provides a short, structured path into data science and analytics.
| Pros | Cons |
|---|---|
| ✅ Backed and quality-assured by Imperial College London | ❌ Some students mention mentor response times could be faster |
| ✅ Flexible full-time and part-time study options | ❌ Certificate is issued by HyperionDev, not directly by Imperial |
| ✅ Includes real-time code review and 1:1 feedback | ❌ Support experience can vary between learners |
| ✅ Suitable for beginners, no coding experience needed | ❌ Smaller peer community than larger global bootcamps |
| ✅ Offers structured learning with Python, ML, and NLP | ❌ Career outcomes data mostly self-reported |
"The course offers an abundance of superior and high-quality practical coding skills, unlike many other conventional courses. Additionally, the flexibility of the course is extremely convenient as it enables me to work at a time that is favourable and well-suited for me as I am employed full-time.” - Nabeel Moosajee
“I could not rate this course highly enough. As someone with a Master's degree yet minimal coding experience, this bootcamp equipped me with the perfect tools to make a jump in my career towards data-driven management consulting. From Python to Tableau, this course covers the fundamentals of what should be in the data scientist's toolbox. The support was fantastic, and the curriculum was challenging to say the least!” - Sedeshtra Pillay
Wrapping Up
Data science bootcamps give you a clear path to learning. You get to practice real projects, work with mentors, and build a portfolio to show your skills.
When choosing a bootcamp, think about your goals, the type of support you want, and how you like to learn. Some programs are fast and hands-on, while others have bigger communities and more resources.
No matter which bootcamp you pick, the most important thing is to start learning and building your skills. Every project you complete brings you closer to a new job or new opportunities in data science.
FAQs
Do I need a background in coding or math to join?
Most data science bootcamps are open to beginners. You don’t need a computer science degree or advanced math skills, but knowing a little can help.
Simple Python commands, basic high school statistics, or Excel skills can make the first few weeks easier. Many bootcamps also offer optional prep courses to cover these basics before classes start.
How long does it take to finish a data science bootcamp?
Most bootcamps take between 3 and 9 months to finish, depending on your schedule.
Full-time programs usually take 3 to 4 months, while part-time or self-paced ones can take up to a year.
How fast you finish also depends on how many projects you do and how much hands-on practice the course includes.
Are online data science bootcamps worth it?
They can be! Bootcamps teach hands-on skills like coding, analyzing data, and building real projects. Some even offer job guarantees or let you pay only after you get a job, which makes them less risky.
They can help you get an entry-level data job faster than a traditional degree. But they are not cheap and having a certificate does not automatically get you hired. Employers also look at experience and your projects.
If you want, you can also learn similar skills at your own pace with programs like Dataquest.
What jobs can you get after a data science bootcamp?
After a bootcamp, many people work as data analysts, junior data scientists, or machine learning engineers. Some move into data engineering or business intelligence roles.
The type of job you get also depends on your background and what you focus on in the bootcamp, like data visualization, big data, or AI.
What’s the average salary after a data science bootcamp?
Salaries can vary depending on where you live and your experience. Many graduates make between \$75,000 and \$110,000 per year in their first data job.
If you already have experience in tech or analytics, you might earn even more. Some bootcamps offer career support or partner with companies, which can help you find a higher-paying job faster.
What is a Data Science Bootcamp?
A data science bootcamp is a fast, focused way to learn the skills needed for a career in data science. These programs usually last a few months and teach you tools like Python, SQL, machine learning, and data visualization.
Instead of just reading or watching lessons, you learn by doing. You work on real datasets, clean and analyze data, and build models to solve real problems. This hands-on approach helps you create a portfolio you can show to employers.
Many bootcamps also help with your job search. They offer mentorship, resume tips, interview practice, and guidance on how to land your first data science role. The goal is to give you the practical skills and experience to start working as a data analyst, junior data scientist, or other entry-level data science positions.
