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Learn Data Analytics in Amsterdam

Become a data analyst at Ironhack Amsterdam in nine weeks (full-time) or 24 weeks (part-time).

Data Analytics bootcamp (Full-time)

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.

Data Analytics bootcamp (Full-time)

Learn Data Analytics in-person and in only nine weeks!

9 weeks7.000 €Mon-Fri9:00 - 18:00
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Data Analytics Part-time course

Learn Data Analytics in-person and in only 24 weeks!

24 weeks7.500 €Tue-Thu 18:30 - 21:30Sat. 10:00 - 17:00
Find out more

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

Prework

During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in . 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!

Module 1: Introduction to and Python

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.

Module 2: Advanced

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!

Module 3: Get a handle on the fundamentals of machine learning

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 bootcamp in Amsterdam before applying?
Download syllabus

Why should you study Data Analytics in Amsterdam

Global tech hubAmsterdam has earned its reputation as a global technology hub – over 90% of Dutch data analytics companies call it home. But so do many educational institutes that teach students how to interpret and analyze the big and small data collected by these businesses. In fact, since 2010 the 70-hectare Amsterdam Science Park has grown into the locus for over 120 research institutions and businesses. Altogether, Amsterdam has become Europe’s largest center for science education and research, as well as entrepreneurship for tech and green business.
Open source City DataYou heard that right – Amsterdam has made its City Data open source. Not only can everyone access this information, but anyone can add even more datasets to the collection. Available online, City Data is easy to search, download or link to your own system.
Spark+AI SummitAmong Amsterdam’s countless tech and data conferences is the Spark + AI Summit, the largest data and machine learning conference in Europe! You can collaborate with over 1,700 data scientists, engineers and analysts at the world’s intersection of data and machine learning.

Upcoming Data Analytics cohorts in Amsterdam

Here are the upcoming dates for our bootcamps in Amsterdam. Reserve your spot today!

Dates
Schedule
Career Week
?
The Career Week happens for every cohort on week 10. During this week we guide students through the whole job-hunting process: from networking to personal and technical interviews, pitching, negotiating offers etc.
Price
Status
Don’t see any suitable dates? Check our part-time courses!

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€

Application process for the Data Analytics courses in Amsterdam

01

Apply online

Apply to the course that is best for you.
02

Personal interview

Our admissions team at Ironhack will contact you to schedule a personal interview and make sure that we can help you meet your goals in .
03

Technical assessment

After the personal interview, you will need to pass a technical assessment to show that you are ready for our fast-paced learning environment.
04

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 program, and you must complete it before starting the course in .
05

The course begins

Once you have completed the prework for at Ironhack , you will be ready to begin learning!

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.

Finance with Quotanda

Only pay for your Ironhack experience after you’ve graduated by using Quotanda. With a simple and quick application process, you will be able to access financing for up to €5,250 with an annual rate of 5% and a 12-month payback period.

Ironhack’s income share agreements

Pay nothing until after you’ve secured your dream job! This agreement guarantees that your payments will only begin after you have secured a role making at least €25,000 per year.

Finance with UWV

You can have up to 100% of your study costs financed by the national unemployment center of the Netherlands (UWV) if you are receiving monthly alimony for unemployment. You won’t have to pay anything back – this funding from the UWV is specifically designed to help you find a job.

Want more information? 

Visit our Financing page
Ironhack Women Scholarship
Scholarship for women

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.

What sets Amsterdam apart?

As one of the most vibrant, young and modern cities in Europe, Amsterdam was named the best European tech city to work in by Hubspot. Its diverse residents relish living a healthy lifestyle, so you will find them active and exercising all times of the year.
In turn, Amsterdam ranks fairly low when considering the cost of living, and it boasts an immense talent pool of more than a quarter of a million professionals. As well, our campus sits right in the heart of the city along one of its famous canals.
Come build your new career surrounded by not only some of Europe’s biggest tech companies, but also its most beautiful historical treasures.

Data Analytics Instructors at Ironhack Amsterdam

Ironhack Data Analytics instructor Jan Molendijk
Jan Molendijk

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.

data
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A typical day at Ironhack Amsterdam

In the bootcamp you will study from 9 a.m. to 6 p.m., Monday through Friday.

Monday to Friday

9:00

Start your day energized

Pour 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 1

Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of !

11:30

Data lab 1

Apply 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

Lunch

Take a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.

14:00

Lecture block 2

Afternoon lectures commence, continuing your development of even more skills and techniques.

16:00

Data lab 2

Time 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 events

Once 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.

Projects built by students

Is your electricity consumption 20–20–20?
Is your electricity consumption 20–20–20?

20% 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!

Ingrid Munné, data analytics
More Questions?

Call us

(+31) 6 5873 6305

or send us an email

amsterdam@ironhack.com