Master in Data Analytics

Boost your career with the exciting world of Data Analytics. This flexible masters - designed to fit into a busy lifestyle - will help you master core concepts and land a job you love. 

Tue & Thu: 18:30 - 21:30 

Sat: 10:00 - 17:00

Part-time during

24 weeks

Fully remote with live teacher led lessons

Financial Options & scholarships available

WHY THIS COURSE

Learning The Ironhack Way

The tech might be new. But with 10+ years of experience, there's no better place to learn AI than Ironhack!

Get Ready for AI

If you're excited about disruptive technology, and want to find creative new solutions to old problems, your future might be in AI. This Master's will give you the foundational training to need to pursue any career in this rapidly growing space, and prepares you how to become an ethical AI professional.

Learn-by-Doing

Graduate with more than just a head full of theory. You'll learn core concepts in AI and cement your knowledge through hands-on projects, like building your own chatbot.

Be Fully Supported

Never feel alone in your learning journey, with classes taught online by a live expert instructor. You'll also have access to a dedicated Career Coach, as well as helpful support staff, teaching assistants, and your fellow Ironhackers.

Boost Your Employability

By the end of the program, you'll be ready for entry-level roles in AI, such as AI Solutions Engineer or Prompt Engineer. Or adapt your current role to be AI-focused, such as AI Product Manager, Data Analyst with AI, Business Intelligence Analyst, and many more. Whatever your goals, get up to one year of career support post-graduation to help you find your path.

COURSE CONTENTS

A Curriculum for the Future

Our expertly-designer curriculum gives you hands-on foundational training in the core concepts, and introduces you to the most commonly-used and in-demand tools. Our goal is to teach you only what you really need to know, and what's tech recruiters are looking for.

DA

Data Analytics

Part-time, Live online

Our course gives you the quality education only a live expert instructor can provide, whilst giving you the flexibility of learning online and part-time. Catch up on whatever you miss when life gets in the way with on-demand classes, and find work/study/life balance with ease.

[Pre work]

No tech experience? No problem!

Once you become an official Ironhack Data Analytics student, you will be given 60 hours of online learning material focusing on command line, Git, Python, MySQL, and statistical analysis. To get you ready for learning Data Analytics, this essential prework will familiarize you with the basics of programming and statistics necessary for the bootcamp. You'll also learn how tools like ChatGPT work, and how to properly leverage them to enhance your learning and problem-solving abilities, which will serve you well in both your bootcamp and your career.

With the prework under your belt you’ll be more than ready to take on your Masters, no matter how much or how little tech knowledge you walked in with.


[Module 1]

Python, Data Wrangling, and Retrieval

In Module 1, we'll dive into Python programming, data wrangling, and retrieval techniques to lay a solid foundation for your data analytics journey.

In the first module, you will immerse yourself in Python programming, including data structures, flow control, functions, error handling, and object-oriented programming. You will also gain proficiency in regular expressions, Git version control, and advanced Python concepts like lambda functions and comprehensions. This foundation sets the stage for the practical application of your programming skills in data analysis.

The second part of the module will focus on data analysis using Pandas, showing you the key skills in data cleaning, transformation, organization, and manipulation. You will learn about web structure, APIs, scraping data from websites, conducting basic exploratory data analysis, and identifying data-driven business problems.

The module culminates in a hands-on project where you will utilize your newfound knowledge to tackle a data wrangling challenge, employ web scraping techniques, and harness the power of APIs. Along the way, you will also develop proficiency in Git and command-line tools, essential for collaborative data projects.

[Module 2]

SQL, Data Analytics, and Statistics

Module 2 focuses on SQL for querying data and dives into data analysis techniques, including advanced exploratory data analysis (EDA) and inferential statistics.

In this module, you'll explore databases and SQL. You'll start with basics like what a database is and how to create one using MySQL. You'll learn about tables, relationships, and how to write SQL queries. As you progress, you'll tackle more advanced topics like subqueries, views, and functions. You'll also discover how to connect Python to databases and work with data in new ways. At the end, you'll be able to analyze data using SQL to gather insights.

Going back to Python, you will go deeper into doing Data Analysis. You'll learn how to examine data, visualize it, and draw conclusions using descriptive and inferential statistics. You'll explore Tableau for making dashboards and presenting the data to business stakeholders for decision making.

The module concludes with a project where you'll apply your skills to manage data, perform analysis, and create reports using Tableau.


[Module 3]

Machine Learning and AI

Module 3 explores the fundamentals of machine learning (ML) and artificial intelligence (AI) to take your data analytics skills to the next level.

You'll finish off your bootcamp by learning the fundamentals of machine learning. You’ll develop an understanding of the ML workflow, supervised and unsupervised learning, and the essentials of popular ML algorithms. Then you will build, train and evaluate models by learning to use the scikit-learn ML library. You'll learn how to build an end-to-end ML project, by processing a data set, extracting features, training and using a model to make predictions on new data. By the end of this module, you will be prepared to apply ML to real-world data sets!

This is also where you'll be introduced to cloud platforms, and deepen your understanding of AI. You'll learn about NLP, LLMs and tools like ChatGPT, understanding how to use them to improve your projects and your transferable skills. You will also learn about Deep Learning, which is the ground for all AI, and Time Series analysis.

Your final project will be your most complex, challenging you to apply your newfound knowledge in innovative ways. Once your project is complete, you will compete alongside your fellow students in our Hackshow, and will have something concrete to put in your new portfolio and show off in your upcoming job interviews.

What Do Tech Professionals Earn in Spain?

Having a job you enjoy is great, but it's even better when it pays. Entry-level tech salaries in Spain are higher than the national average, and more senior salaries are more than double.

Meet your instructor

Carlos Fenollosa

Entrepreneur and professor @ UPC

Holding a PhD in Mathematical and Computational Modeling from Imperial College London, they bring over 10 years of experience in leading and developing Data Science projects across various industries, including pharmaceuticals, retail, travel, banking, media, healthcare, and consumer goods. Their professional journey includes working with companies such as Accenture, Deloitte, and IQVIA.

NO BARRIERS

Financing and Scholarships

Take the headache out of funding your education, with our flexible financing options. Choose from installment plans, interest-free loans, government bursaries, and both full and partial scholarships.

70% of Ironhackers fund their education with financing options. You're in great company!

Pay in Installments

Break up your tuition into smaller payments. No hidden fees, no extra hassle.

Income Share Agreements (ISA)

With Bcas, get your tuition fully funded, and pay it back in installments once you're earning in your new role.

A LIFE LONG STORY

The Life of An Ironhacker...

An Education You Can Trust

With 11 years of experience, 18.000+ global alumni, and a 4.8/5 rating on CourseReport and SwitchUp, you can be confident in our methodology.

A Course Designed for Career Changers

We offer maximum flexibility, without sacrificing quality. Our part-time Master's allows you to continue working while you learn, with all classes recorded you so can catch up on what you miss.

A Future To Look Forward To

Figure out the messy middle of job-hunting, with a dedicated Careers Advisor, mock interviews, resume and portfolio reviews. Our alumni get hired by everything from disruptive new startups, to big tech empires.

*Receive Career Services up to one year post graduation as long as you're actively job hunting. See the syllabus for further information.

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”

Nuno Moreira

From Architect to UX Designer

Marta Fonda

From Business Administration to Web Developer

Abélia Pételle

From Business to Data Analyst

4.8/5

4.8/5

1k+ students reviews

1k+ students reviews

FAQ

Do I need my own laptop?

For our Master, 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 masters 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 masters?

We offer various options to help you fund your master, 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.

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