Your future starts here. Choose the fast-track with our Data Analytics or Data Science Bootcamps, or deep dive into our 1-Year Data Science & AI Course
Enhance your expertise and pave your career path with this comprehensive 40-week course designed to equip you with in-depth knowledge and practical skills in data science and AI.
MODULE 1
Introduction to Programming and Data Engineering Fundamentals (6 weeks)
Begin your journey with core programming skills and data engineering concepts. Master Python and R, explore data structures, and develop web apps with Streamlit.
MODULE 5
Classic Machine Learning (5 weeks)
Explore traditional machine learning algorithms in supervised and unsupervised learning. Evaluate and validate models using Scikit-learn and delve into model interpretability.
MODULE 2
Advanced Programming and Database Management (7 weeks)
Deepen your programming expertise with advanced SQL and No-SQL databases. Harness full-stack development using Node.js and Angular, and manage projects with Agile methodologies.
MODULE 6
Applied Machine Learning and AI (6 weeks)
Expand into advanced AI with large language models and computer vision. Work with cutting-edge technologies like HuggingFace for NLP and explore ethical AI practices.
MODULE 3
Data Analytics and Preprocessing (6 weeks)
Lay a solid foundation in statistical principles and data preprocessing. Dive into applied linear algebra, probability, and essential data cleaning techniques.
MODULE 7
Machine Learning Operationalization (5 weeks)
Operationalize machine learning models using cloud platforms and deploy them efficiently. Master Docker, Kubernetes, and monitor model performance in production environments.
MODULE 4
Data Visualization and Business Intelligence (6 weeks)
Transform data into actionable insights using advanced visualization techniques and BI tools like Power BI and Tableau. Integrate Angular for dynamic dashboard creation.
CAPSTONE PROJECT
(4.2 weeks)
Operationalize machine learning models using cloud platforms and deploy them efficiently. Master Docker, Kubernetes, and monitor model performance in production environments.
Kickstart with 40 hours of self-paced material to build a solid foundation in data analytics and AI tools like ChatGPT, regardless of your experience.
MODULE 3
Machine Learning and Artificial Intelligence (AI)
Explore the essentials of machine learning using the scikit-learn library and dive into AI with topics like NLP and deep learning. Build, train, and evaluate AI models, and prepare for real-world applications. Conclude with a capstone project presented at our Hackshow.
MODULE 1
Python, Data Wrangling, and Retrieval
Dive into Python programming and data manipulation using Pandas. Learn essential skills in data wrangling, cleaning, and advanced concepts like lambda functions.
MODULE 4
(For Full-Time Students Only)
Advanced Applications of Machine Learning
Advance your machine learning expertise into real-world applications with Unsupervised Learning and Deep Learning techniques. Gain hands-on experience with tools like Streamlit for creating user interfaces and Google BigQuery for large-scale data management and analysis.
MODULE 2
SQL, Data Analytics, and Statistics
Master SQL and databases, connecting them with Python. Create dashboards with Tableau and become a data expert for any team.
Kickstart with 40 hours of self-paced material to explore foundational and advanced techniques in AI and data science, suitable for all experience levels.
MODULE 2
Foundations and Applications of Machine Learning
Build and enhance your AI models learning fundamental and advanced machine learning techniques. Start with probability and statistics, move to supervised and unsupervised learning, and tackle neural networks and deep learning for complex applications.
MODULE 1
Foundations of Data Science: Python and Data Handling Essentials
Dive into the essentials of data science and Python. Master the art of managing and analyzing data with SQL and uncover patterns with exploratory analysis. Sharpen your statistical methods to interpret complex data insights.
MODULE 3
Advanced Machine Learning and Specialized Tracks
Explore specialized tracks in advanced machine learning. Guide computers through computer vision, enable NLP for understanding human language, and streamline AI project management with MLOps, leveraging platforms like Google Cloud and AWS.
Data AnalyticsvsData Science Bootcampsvs Data Science 1 Year Course. What's the Difference?
DATA SCIENCE & AI 1 YEAR COURSE
DATA ANALYTICS BOOTCAMP
DATA SCIENCE BOOTCAMP
Data Analytics Bootcamp
Target Audience: Ideal for newcomers and those transitioning into the field of data analysis, interested in understanding and applying data to business contexts.
Key Features:
Data Visualization Tools: Learn to use leading tools like Tableau and Power BI for effective data presentation.
Business Intelligence Skills: Focus on generating actionable insights crucial for business decisions.
Technical Skills: Gain proficiency in SQL for efficient data querying and Excel for robust data manipulation.
Introduction to Data Warehousing: Understand the architecture and operation of warehouses for storing big data.
Data Science Bootcamp
Target Audience: Beginner-friendly bootcamp for individuals aiming to embark on a career in data science, offering a step-by-step foundation in the field.
Key Features:
Machine Learning and Deep Learning: Introduction to essential algorithms and their practical applications in various industries, even for those new to the field.
Python Programming: Start from basic to more advanced techniques focusing on Python and libraries like TensorFlow and Keras for modeling and data analysis.
Big Data Technologies: Includes an introduction to handling and analyzing large data sets using technologies such as Hadoop and Spark.
Data Science & AI
1 Year Course
Target Audience: Individuals seeking a
comprehensive and extended study experience, perfect for acquiring a profound knowledge of data science and AI.
Key Features:
Extended Curriculum: More in-depth than a bootcamp, providing the foundational elements of data science along with an advanced dive into AI techniques.
Consolidated Learning: Longer duration affords the opportunity for deeper engagement with material, theory, and extensive hands-on projects.
Career-Oriented Projects: The extended format allows for significant projects that demonstrate real-world application, coupled with a 3-month internship providing practical, professional experience within the industry.
LEARNING THE IRONHACK WAY
Gain all of the skills you need to land your first job as a Data Scientist or Data Analyst
💻 Learning by doing
🚀 Career Support
✅ Flexible Financing
Refine everything you learn in class by working on projects modelled on real-world challenges
Access personal career coaching, like mock interviews and resume/LinkedIn reviews
Make tuition more affordable with a variety of payment plans, bursaries, and scholarships
ALUMNI STORIES
What our alumni have to say
Join 18,000+ global alumni, and get an education you can trust
“Ironhack prepared me for the job market...After being motivated to work on products bringing innovation to everyday life”
“Ironhack leaves you not only with real-world project experience, but also with personal and interpersonal skills.”
“The intense curriculum and hands-on projects gave me confidence to manage real-world campaigns right away”
Data Science & AI 1 year course vs Data AnalyticsvsData Science Bootcamps: Which Should You Choose?
DS
Data Science & AI 1 Year Course
Focus: Combines in-depth data science education with critical components of AI technologies.
Objective: Equip participants with comprehensive skills in both data science and AI, enabling them to use data analytics and machine learning to drive strategic insights and decisions.
Duration: A year-long program that covers a broad spectrum of theoretical and practical aspects within data science and artificial intelligence.
Internship: Includes a guaranteed internship to apply learned skills in real-world scenarios, augmenting the educational experience and increasing employability.
Students: Ideal for those seeking an extensive, immersive educational experience in data science, analytics, and artificial intelligence.
Potential Jobs: Diverse career opportunities including Data Analyst, Business Intelligence Analyst, and more specialized AI-driven roles like Machine Learning Engineer and AI Research Scientist.
DS
Data Science Bootcamp
Focus: Primarily on data science with strong emphasis on machine learning applications.
Objective: Quickly prepare participants for roles that require hands-on AI and machine learning skills.
Duration: Short-term, intensive bootcamp designed for rapid skill development.
Students: Suitable for individuals eager to delve into technical aspects of AI and data science.
Potential Jobs: Roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist.
DA
Data Analytics Bootcamp
Focus: Focused on harnessing data analytics for business strategy and decision-making.
Objective: Provide participants with the skills and tools necessary for analyzing data and translating it into actionable business insights.
Duration: Compact and fast-paced bootcamp designed to transition participants quickly into data analytics roles.
Students: Perfect for those aiming to switch to or start a career specifically in data analytics within various business sectors.
Potential Jobs: Including Data Analyst, Business Intelligence Analyst, and Operations Analyst.
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
NO BARRIERS
Flexible Financing Options
We believe that money should never be a barrier to education. That’s why we collaborate with a global network of partners and governments to offer the best solutions based on your location.
If you're unemployed and living in Germany, you can get your education full funded by the Agentur für Arbeit, whether you choose the 1 year program or a bootcamp.
Flexible payment plans
Financing through trusted partners
Exclusive discounts
IRONHACK COMMUNITY
Join Ironhack's global network of 1,000+ alumni!
HOW TO APPLY
Apply now and start your tech journey today!
Start our no-strings-attached process, get your questions asked and answered by our friendly admissions team, and find the right bootcamp for you!
Fill out the form
Hit 'Apply Now' and fill out our quick and easy form
Rock the interview
Make sure we're the right fit for you, and you've got what it takes to be an Ironhacker!
Sign on the dotted line
Once you've paid your deposit and signed our Student Agreement... you're on your way to a new career!
What are the requisites to become a student at Ironhack?
There are no knowledge requirements for our bootcamps. As long as you have sufficient proficiency in English, basic logical skills, enough time, and most importantly motivation, you're fit for a bootcamp. Each bootcamp has students from different backgrounds so if you're starting from scratch with your tech knowledge, you're not alone. The Prework ensures that everyone has the same solid foundation to succeed in the bootcamp.
Do I need my own laptop?
Data Science & Machine Learning Bootcamp: Needs include a multi-core processor (Intel i5 or higher, AMD Ryzen 5 or higher), at least 8GB RAM (16GB preferred), SSD storage, and a NVIDIA GPU (CUDA 7.0 higher recommended).
Data Analytics Bootcamp: General requirements are a modern processor, at least 8GB RAM, and an SSD.
Data Science & AI 1 Year Course: Includes a free laptop to ensure every participant has access to the necessary technology right from the start.
Will I get an official certificate after completion of the program?
Ironhack awards a private certificate upon completion. While the intensive, hands-on nature of our bootcamps means they are not recognized by traditional educational standards, they are highly respected by industry leaders for the quality of education and the preparedness of our graduates.
What financing options are available for the bootcamp?
Various options are provided to fund your education, including payment plans, scholarships, and external financing collaborations. If you are a German resident and currently unemployed, you might be eligible to apply for a Bildungsgutschein, which can cover the costs of your training. We encourage discussing this opportunity with your admissions officer to understand all available options and tailor the financial solution that best fits your needs.
