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Learn Data Analytics in Berlin

Become a data analyst at Ironhack Berlin 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 weeks7.500 €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 weeks8.000 €Tue-Thu 19:00 - 21:00Sat. 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 Berlin

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 Berlin before applying?
Download syllabus

Why should you study Data Analytics in Berlin

Berlin’s data conference boomBerlin is easily one of Europe’s biggest tech hubs, and this incredible boom has brought with it a number of incomparable data conferences. For example, the Big-Data.AI Summit 2020 (#BAS20) is Europe’s leading conference on the practical applications of smart data in business. In conjunction with the hub.berlin business festival, both events will welcome 10,000 attendees. Likewise, Data Natives, Europe’s largest event platform for data, holds its flagship global conference in Berlin in November.
Expansive data researchData analytics plays a huge part in Berlin’s ever-growing startup ecosystem, which has led to a wide variety of incubators, accelerators, and research organizations. The Berlin Big Data Center is chief among these, and specifically designed to conduct groundbreaking research and development, to train the next generation of data scientists and to generate creative solutions for deeply analyzing the world’s increasingly massive amounts of data sets.
A growing workforceWhile Silicon Allee might seem flooded with tech talent, the truth is there are new jobs sprouting up left and right. Back in 2017, Indeed listed 496 data analysis jobs in the German capital. And that number’s only increasing!

Upcoming Data Analytics cohorts in Berlin

Here are the upcoming dates for our bootcamps in Berlin. 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 Berlin

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 Berlin

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

Put off paying for your Ironhack experience until after you’ve graduated by using our longtime partner, Quotanda. With their quick and simple application process, you can get financing up to €5,250 with an 8% annual rate over 12 or 18 months.

Income share agreements

Don’t pay a cent until you’ve landed your dream job! Chancen EG will take care of the bill until you find a job earning more than €21,000. And even then, your payments will be based on your income.

Tax return

You can deduct the cost of your Ironhack courses from your tax return as income-related expenses. The tax office is very accommodating to vocational training costs.

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 Berlin apart?

Germany’s capital city is also its most influential both in terms of culture and commerce. A world city of media, science, and politics; Berlin’s economy is based on high-tech firms and the service sector.
Berlin offers a much lower cost of living than other European cities, which has brought hundreds of startups and established companies. And along with these companies have come tens of thousands of young workers, dreamers and entrepreneurs.
Europe’s biggest tech hub is teaming with fresh faces from the world over, and you can join them! Study and work toward your new future in the heart of Berlin. Then step out your door into a unique mix of modern culture and history, a deeply inclusive international community, and perhaps the most famous nightlife in the world. All this at your fingertips while you study and work toward a new future.

Data Analytics Instructors at Ironhack Berlin

Ironhack Data Analytics instructor Andy T.
Andy T.

Andy has worked in data analysis, data science and data engineering positions at companies such as Zalando, Google and SoundCloud. He is passionate about working in the field of data privacy, hence his lack of a portrait photo. Other things he loves are music and noodle soups.

data
eyebrow.courseInformation

A typical day at Ironhack Berlin

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

+4930-4036-82421

or send us an email

berlin@ironhack.com