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Career success starts here
The road to your dream job in Data lays ahead. It's not an easy ride but if you've got the determination to see it through, it'll be well worth it!
REMOTE PREPARATION: PYTHON AND STATISTICS
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 bootcamp, no matter how much or how little tech knowledge you walked in with.
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.
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.
MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (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.
Start The Day (Icebreakers and Short Reviews)
9:00 - 9:30
9:30 - 13:00
13:00 - 14:00
14:00 - 15:30
15:30 - 15:45
15:45 - 18:00
Icebreakers and Standups
18:30 - 18:45
18:45 - 20:15
20:15 - 20:30
20:30 - 21:30
10:00 - 17:00
When you choose an Ironhack, you learn more than just tech skills. We've based our curriculum on real-world scenarios that you'll face when you land your first (or next!) job in tech. And with Career Week, we set you up for success by helping you understand what your dream job looks like and what steps you need to take to reach it. Our goal isn't just to get you a job, it's to help you get a job that you love.
We're also a global community of tech lovers, with a growing network of hiring partners all over the world. We're with you from your first step on campus, all the way through your bootcamp, and every step of the way in your new career. Once an Ironhacker, always an Ironhacker.
We're committed to quality
You've placed your education in our hands, and we take that commitment very seriously. We hold our staff and community to high standards, and constantly improve our bootcamp offering to make sure our alumni are set up for success in the market. We've based our curriculum on the most in-demand skills, so that after graduation you're equipped with everything you need to break into tech.
Risk Data Analyst
Apprentice Software Engineer
Our teachers, the other superheroes, are tech professionals dedicated to teaching you the most in-demand skills.
Lead Data Teacher
Lead Data Teacher
Data Analytics Lead Teacher
Lead Data Teacher
Our Admissions team will walk you through each simple step
Once you've submitted your application, you'll be invited to a personal interview. This is our opportunity to get to know you, and your opportunity to ask your most burning questions. We'll make sure that you're embarking on the right bootcamp journey and give you all of the information you need.
You'll be assigned a very simple technical test, designed to measure your aptitude. Ironhack's bootcamps are beginner-friendly, and so is the test, so don't stress. No hard skills required here. (That's what your bootcamp is for!)
Now it's time to sign the Student Agreement, which makes you an offical Ironhacker! At this point you'll also pay the deposit. (The rest of your tuition fee payment will depend on your chosen financing option.)
As an official Ironhack bootcamp student, you'll have access to online prework that helps us level the playing field and ensure that everyone is bootcamp-ready!