This is your golden ticket to achieve your career goals at a fraction of the cost. Don't miss out on this exclusive 30% discount on our intensive bootcamps.
How it works
The 30% discount applies only to bootcamps listed in the application form.
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The discount applies to new enrollments starting from January 1.
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The 30% discount can be combined with our financing options.
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Apply here and mention this 30% discount during your admissions call to activate it.
Start off with 40 hours of self-paced material to help you hit the ground running no matter your existing knowledge/experience. Gain a foundational knowledge of data analytics, as well as tips on how to use AI tools like ChatGPT.
[Module 1]
Python, Data Wrangling, and Retrieval
Immerse yourself in Python programming, from data structures to advanced concepts like lambda functions. You'll also use Pandas to learn key skills like data cleaning and manipulation.
[Module 2]
SQL, Data Analytics, and Statistics
Master SQL and databases, learning everything from how to create them and how to connect Python to work with data in new ways. Become any team's data champion by learning how to use Tableau to create dashboards, and make data more accessible.
[Module 3]
Machine Learning and Artificial Intelligence
Explore the fundamentals of machine learning and cloud platforms, introducing you to the many career paths data analytics can lead you to. Finish off the bootcamp with a final project, presented at our prestigious Hackshow!
Software and languages you'll learn:
Certifications:
ML
Data Science & Machine Learning
[Pre work]
Python and Math Foundations
Get introduced to Python, and tackle the essentials of Calculus, Linear Algebra and Analytic Geometry to crack complex patterns and challenges.
[Module 1]
Foundations of Data Science
Get started by mastering the most commonly used programming languages by real-world Data Scientists.in JavaScript to create well-structured and maintainable code.
[Module 2]
Foundations and Applications of Machine Learning
Time to build your own AI model! In this module you'll learn machine learning fundamentals and get started on more advanced topics, like neural networks and deep learning.
[Module 3]
Advanced Machine Learning and Specialized Tracks
Explore more specialized career paths with one of these advanced tracks:
Computer Vision: teach computers to recognize images.
Natural Language Processing: help computers understand human language.
MLOps: manage AI projects efficiently using cloud platforms like Google Cloud or AWS for data storage and handling.
Software and languages you'll learn:
Certifications:
DE
Data Engineering
[Pre work]
Python, SQL & Cloud Foundations
Before the bootcamp kicks off, you’ll complete a self-paced pre-work module designed to build your foundation in Python, SQL, and data handling, alongside Git version control and core cloud concepts. You’ll practice coding, manipulating data with Pandas, running SQL queries, and understanding modern data workflows.
[Module 1]
Programming & Data Modeling
Start by building the essential programming and data architecture skills. You’ll learn Python for data handling, master Pandas and NumPy for transformation, and take your SQL to the next level. Dive into data modeling, designing schemas and databases to understanding how data lakes and warehouses work together.
[Module 2]
Designing Data Pipelines & Big Data Systems
Build and automate data pipelines using Airflow and dbt. You’ll schedule transformations, track data lineage, and test workflows end-to-end. Explore big data with Apache Spark, optimize PySpark transformations, explore lazy execution, and tune performance for distributed workloads.
[Module 3]
Cloud & Real-Time Data Engineering
Learn to build and manage warehouses using Snowflake, BigQuery, or Redshift, automate infrastructure with Terraform and Docker, and design cost-efficient multi-cloud solutions.
[Module 4]
Ensuring Data Reliability & Governance
You’ll focus on reliability, transparency, and impact. You’ll test and validate data quality using Great Expectations, track lineage with dbt, and apply governance best practices for privacy and compliance.
[Module 5]
Capstone Project
By the end of the Bootcamp, you’ll complete production-grade capstone projects simulating real-world enterprise systems. You’ll design, build, and deploy pipelines that integrate real-time streaming, governance, and analytics visualization.
Land your dream job with the support of our career team
Join our global network of 18,000+ alumni and get the support of our expert careers team, dedicated to guiding your job search. Beyond the bootcamp, you'll benefit from our Career Services for up to a year after graduation!
18k+
70+
6k+
Students graduated
Nationalities represented
Community of tech companies
*Receive Career Services up to one year post graduation as long as you're actively job hunting. See the syllabus for further information.
Join thousands of Ironhack Alumni now thriving at top companies like
Flexible payment plans to fund your training
70% of Ironhackers use financing to fund their bootcamps. We offer interest-free loans, installment plans, and government funding to make your tech career dreams possible.
Options vary by your eligibelity, contact our Admissions Team for guidance!
Which bootcamp should I choose: Data Science and Machine Learning or Data Analytics?
Take our Data Science and Machine Learning Bootcamp to dive into the technical side of data, focusing on programming and developing new technologies like your own ChatGPT. Or, choose our Data Analytics Bootcamp if you prefer making sense of data, creating visuals, and providing insights to improve business decisions. Can't decide? Our admissions team is here to help you find the right path.
Do I need my own laptop?
For our Data Science & Machine Learning Bootcamp, you'll need:
Processor: A modern multi-core CPU (e.g., Intel i5 or higher, AMD Ryzen 5 or higher).
RAM: At least 8GB (16GB or more is preferable for larger machine learning projects).
Storage: A solid-state drive (SSD). We recommend a minimum of 50GB but 256GB for faster data access.
GPU: Since you'll be using TensorFlow, if your computer is GPU-enabled, NVIDIA recommends GPUs with CUDA support. The specific CUDA architecture compatibility will depend on your deep learning models and libraries. It's advisable to have a GPU with CUDA 7.0 or higher.
Note: If you're using a device that doesn't belong to you (e.g., a company computer), ensure you have full admin rights.
Will I get an official certificate after completion of the program?
Ironhack provides a private certificate that proves the program was completed. The bootcamps are not recognized by the traditional standards of the Education administration. Due to its intensive and hands-on format, it wouldn't be possible to adapt the content and schedules to the official requirements. However, many companies recognize Ironhack for the quality of its education and the potential of our alumni.
What financing options are available for the bootcamp?
We offer various options to help you fund your bootcamp, and each case is evaluated individually to find the best solution for you. Whether through payment plans, scholarships, or external financing partners, we strive to make the bootcamp accessible to students from all backgrounds. We want you to focus on studying, not on financing, which is why we tailor all financing plans to your specific situation. Apply now, and we’ll provide the details you need.
