We’ve always got our fingers on the pulse of the tech industry, paying close attention to the roles companies are struggling to fill and the skills needed by tomorrow’s aspiring tech professionals.
It’s no secret that companies around the world are crying out for Data Science and Machine Learning professionals. In true Ironhack fashion, we’re meeting the need by bringing you an all-new Data Science and Machine Learning Bootcamp!
In 9 weeks you can learn the skills you need to launch your career in tech. Complement your resume with projects that recruiters will love, and get the career support you need to join one of tech’s fastest growing niches.
Why Learn Data Science and Machine Learning?
If you’re looking for a career path with lasting power look no further than Data Science and Machine Learning, as there are few industries today that don't rely on them. With these skills you can work anywhere from government agencies and car manufacturers, to high fashion houses and music streaming platforms. The possibilities really are limitless!
As the technology grows so does demand for new skills, including Azure Machine Learning (281% growth), AI Art Generation (239%), Amazon EMR (227%) and Midjourney (218%), according to Udemy's Q1 2023 Workplace Learning Index. Our new bootcamp can put you on the path to becoming an NLP Engineer, currently the most in-demand specialization in the data world.
The Data Science and ML career path
These skills can complement a number of other roles in tech, but they will set you off on the right path for junior positions as a Data Scientist or AI Engineer.
Data Science vs Data Analytics: Which Should You Choose
The day-to-day of a Data Scientist and of a Data Analyst might look very similar to the untrained eye, but they’re actually quite different. If you’re struggling to decide which path to take, consider the similarities and differences of these two professionals:
A Data Scientist: works on developing complex models and algorithms to analyze large datasets, and use machine learning and predictive analytics to uncover hidden insights. Their work drives the creation of more intelligent, autonomous systems that can solve complex problems, personalize experiences, and unlock new possibilities across various industries and aspects of daily life.
A Data Analyst: typically spends their day collecting, processing, and analyzing data to help make informed decisions. They often use statistical tools and software to interpret data sets and communicate findings through reports and visualizations. This helps organizations in a number of ways, from optimizing processes to making the right business decisions.
Choose Data Science if you’re interested in Machine Learning and the technical side of AI. Choose Data Analytics if you enjoy turning data into insights to drive decision making.
Unlocking a Career in Artificial Intelligence
If you’re brand new to tech, you might not know that Data Science and Machine Learning are one of the many facets of Artificial Intelligence.
Let’s ask everyone’s favorite bot, ChatGPT, how it uses Data Science and Machine Learning:
“As ChatGPT, I am a product of advancements in data science and machine learning, which are crucial to my creation and operation. Data science has provided the methodologies for collecting, cleaning, and organizing the massive datasets that form the basis of my training material. Machine learning, particularly deep learning—a subset of machine learning involving neural networks with many layers—has been instrumental in creating the algorithms that enable me to understand and generate human-like text.
My underlying model was trained on a diverse range of internet text by using machine learning techniques to recognize patterns, understand language structure, and generate responses that are contextually relevant. This training involves processing and learning from vast amounts of text data, refining my ability to understand queries and produce coherent, informative, and contextually appropriate answers.”
Of course this tech goes beyond chatbots, powering everything from your favorite streaming platforms to groundbreaking MedTech advancements. If you’re keen to gain some competitive AI skills, or launch your career as a fully-fledged AI professional, you’re in the right place.
What’s in the Bootcamp?
The Ironhack Data Science and Machine Learning Bootcamp is an immersive experience. Here are some key things to keep in mind:
Start Date: April 29th 2024
Duration: 9 weeks
Location: Remote EU
Format: Live online classes, hands-on collaborative projects, and asynchronous individual learning
Price: €8,000 / €6,800*
*As one of our Data Science and Machine Learning Bootcamp early-adopters, you’ll save 15% off tuition fees.
Made for beginners
If this is your first foray into tech, don’t panic! Our bootcamps are designed with beginners in mind.
You’ll have access to online prework before the bootcamp starts, which will give you a headstart by learning core knowledge and skills such as Python, statistics, and math foundations. The prework ensures that everyone, regardless of their background, is able to hit the ground running and succeed.
The Data Science and ML skills companies are looking for
In 9 weeks, you’ll learn everything you need to kickstart your career. Our comprehensive curriculum covers:
Data wrangling
Exploratory data analysis
Machine learning foundations
Supervised and unsupervised learning
Deep learning
MLOps and cloud computing
Once you’ve got the basics down, you’ll be introduced to more advanced topics such as Natural Language Processing or Computer Vision.
Unlike other remote tech courses, you’ll receive live online classes with your instructor, to get your questions asked and answered in real time.
Career Services
Our approach focuses on not just landing you a job, but finding a job that's aligned with your long-term goals. With our Career Services, you’ll gain a better understanding of the tech job market, get resume, LinkedIn, portfolio, pitch, and interview support, and personalized guidance with your Career Advisor.
Financing options
We’re proud to offer a variety of financing options to help you fund your education, including flexible payment plans and loans. Money should never be a blocker to education. If you’ve got the will and the drive, we can help you find the means.
On average, 70% of our students use financing options to help pay for their bootcamp, so you’re in good company! Speak to your Admissions Advisor to see which is best for you, depending on your eligibility and location.
How to Get Started
If you’re interested in training computers to learn from data to predict the future, check out our Data Science and Machine Learning Bootcamp.
If that’s not quite what you’re looking for, check out our other bootcamps:
We’ll see you in class!
