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Learn Data Analytics at Ironhack Amsterdam
Join our Data Analytics immersive bootcamp and get the hands-on skills you need to land a job in the growing tech industry. Learn Python, SQL, Tableau, Statistics, and much more. 9 weeks full time or 24 weeks part time, in person or hybrid format. Download the syllabus, meet our teachers and check our financing options. See all the information here!
Our course formats
Develop the skills you need to launch a fulfilling career in Data analytics with our 24-week part-time course or our fulltime nine-week bootcamp.
Learn Data analytics in only nine weeks!
9 weeks7.500 €Mon to Fri9:00 - 18:00
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Learn Data analytics in only 24 weeks!
24 weeks7.500 €Tue & Thu 18:30 - 21:30Sat. 10:00 - 17:00
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Select one of the formats above for specific course information. Otherwise, information about the Data analytics bootcamp (full-time) will be shown by default.
What you will learn during the Data analytics bootcamp in Amsterdam
During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in Amsterdam. During the prework phase you will:
1. learn the fundamentals of command line, Git, Python, MySQL and statistical analysis
2. familiarize yourself with the basics of programming and statistics and
3. connect with your peers and expert academic staff by utilizing our Slack channel.
Once you’ve completed the prep materials and synced up with your class, you’ll be ready to dive into the course!
The first two weeks will introduce you and your classmates to the world of data analytics. Then you will establish your development environment for the classroom as you settle into our tight-knit data community.
Topics include:
- Introductions to data wrangling/cleaning.
- APIs and web scraping.
- Intermediate levels of Git, SQL and Python.
Week three calls for your first project as an apprentice data analyst! Apply your new Python skills by conducting data analysis with real datasets.
In weeks four and five you’ll take a deeper look into the mathematics behind data analytics.
Topics include:
- Utilizing Python to understand inferential statistics and probability.
- Incorporating Python into the fundamentals of business intelligence.
- Learning story-telling techniques in order to visualize your data and insights in presentations.
Week six will mark the start of your second project: a complete data analysis. This will be constructed from data that you will have processed, cleaned and visualized from real datasets!
The final module will introduce you to the fundamentals of machine learning in weeks seven and eight. We’ll start things off by teaching you to understand the machine workflow, and the lessons will only expand from there.
Topics include:
- Both supervised and unsupervised learning.
- The essentials of popular machine learning algorithms.
- Building, training and evaluating models with the Scikit-Learn machine learning library.
For the last week of this module and course, you will face your final and most challenging task: building an end-to-end machine learning project. You will need to process a dataset, extract features, train a model, and use that model to make predictions on new data. When your project is complete, you will compete alongside your fellow students in our Hackshow.
Want to learn more about Ironhack and our Data analytics bootcamp in Amsterdam before applying?
Download syllabus
Upcoming Data analytics cohorts in Amsterdam
Here are the upcoming dates for our bootcamps in Amsterdam. Reserve your spot today!
Deposit
Our courses fill up fast. Secure your spot at Ironhack by making an advance deposit when you are accepted into the program. Deposit amount: 750€Our financing options at Ironhack Amsterdam
Do you need help with the payment? Our financing options help you find the support you need so you can focus on your career and developing new skills.
Quotanda
Quotanda is a lending as a service (LaaS) platform that helps schools, banks and organizations manage affordable student financing programs globally. For Ironhackers, financing through Quotanda means start paying at 0% APR once you've started your course (payment extension to either 12 or 18 months).
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Finance4Learning
Loans for residents of the Netherlands. Maximum loan amount is €10,000. Penalty-free early repayment is always possible. Loans are extended for 12, 24 or 36 months. The cost of borrowing is approximately €52 per year for every €1,000 borrowed. To qualify, students must have a Dutch bank account and meet certain lending criteria.
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Pay in Installments with Pledg
In partnership with Pledg, our students can pay in 3, 6, or 10 monthly installments, whether it be for our full-time or part-time bootcamps. The net tuition, after payment of the deposit and any third-party financing, can be divided into monthly automatic payments via bank card on the Pledg platform. For the 3 installment plan, there are no additional charges. For the payment in 6 and 10 installments, the fees are 2.65% and 4.7% of the total balance applied to the first payment. To qualify, students must have a French bank account.
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TechMeUp
TechMeUp offers talented students, from underrepresented groups, a financial peace of mind by providing them financial assistance up to the total cost of the program.
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Chancen
During your studies, CHANCEN eG takes care of your full tuition fee (incl. deposit). With the help of the income share agreement you do not pay anything until you landed your dream tech job. When you graduate and start working, income based repayments are made to CHANCEN eG over a 5 year period. Should your annual income be less than 27,000 Euros, repayments are not required. Your repayment is then shifted to a period when you earn above the minimum income threshold.
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The tech community suffers from a gender gap, which is why we are proud to promote women in tech with an upfront scholarship of 10% off for any of our Web Development and Data Analytics courses.
Application process for the Data analytics courses in Amsterdam
Apply online
Apply to the Data analytics course that is best for you.Personal interview
Our admissions team at Ironhack Amsterdam will contact you to schedule a personal interview and make sure that we can help you meet your goals in Data analytics.Technical assessment
After the personal interview, you will need to pass a Data analytics technical assessment to show that you are ready for our fast-paced learning environment.Deposit and prework
Once you have completed the technical assessment and paid the deposit, you will be granted access to the prework. The prework is fundamental to the Data analytics program, and you must complete it before starting the course in Amsterdam.The course begins
Once you have completed the prework for at Ironhack , you will be ready to begin learning!Data analytics Instructors at Ironhack Amsterdam
Jan is excited to teach you about wrangling and analyzing data. He has always enjoyed working with data, be it modeling, understanding or extracting information. When he’s not working with data, he enjoys making music, drawing and playing tennis. Jan loves understanding how stuff works, and sharing his knowledge and experience with others. But most of all, he enjoys helping people learn new skills and grow professionally.
A typical day at Ironhack Amsterdam
In the course-data-analytics-campus bootcamp you will study from 9 a.m. to 6 p.m., Monday through Friday. The schedule may be subject to changes depending on the chosen campus.
9:00
Start your day energizedPour yourself some coffee to get your day going, as class begins with a review of yesterday’s exercises. You’ll also learn to manage a healthy workflow by incorporating the key strategies of Agile and Kanban.
9:30
Lecture block 1Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of Data Analytics!
11:30
Data lab 1Apply the concepts you’ve learned in the previous lecture to a new tutorial or challenge. Time to roll up your sleeves and code!
13:00
LunchTake a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.
14:00
Lecture block 2Afternoon lectures commence, continuing your development of even more skills and techniques.
16:00
Data lab 2Time to solve a project by yourself! This will be a hands-on exercise calling for you to apply your knowledge in real-world practice.
18:00
After-course eventsOnce the day’s coursework has ended, explore and find innumerable opportunities to meet and network with other data professionals. Meetups, networking sessions and workshops are just down the street, or you can stick around campus to catch up on classwork.
Why should you study Data analytics in Amsterdam
Projects built by students
How to win FIFA19 using data
Álvaro Fragoso, data analyticsIs your electricity consumption 20–20–20?
Ingrid Munné, data analytics20% increase of energy efficiency, 20% decrease in CO2 emissions, and 20% of energy production from renewable sources, all by 2020: a challenging goal to meet. Ingrid was inspired to analyze Spain’s electricity consumption in order to determine whether or not we are on the path toward a more sustainable rate of electricity consumption. She found some particularly interesting patterns that we are following as users!
What sets Amsterdam apart?
More Questions?
We are committed to helping you start your career in tech. Our financing options range from traditional loans to pay-for-success models so you can choose the option that best fits your needs. Simply get in touch with our admissions team and they will give you more information about the available options.
Get in touch with our Admissions team