SKILLS
Learn Data Analytics at Ironhack Berlin
Join our Data Analytics bootcamp and get the hands-on skills you need to land a job in the growing tech industry and be part of any company's workforce as a Data Analyst
9 weeks full time or 24 weeks part time
PYTHON
SQL
TABLEAU
STATISTICS
AND MORE!
Our Courses
09 Jan - 10 Mar
09 Jan - 10 Mar
English
Mon to Fri, 9:00 - 18:00 (undefined)
7500,00 €
Filling Fast!
Career Week - 13 Mar
20 Feb - 28 Apr
20 Mar - 19 May
27 Mar - 02 Jun
All our courses include
Career Services program
We help you identify your ideal outcome, and reach it as fast as possible.
Multiple payment options
Different options available to make the tuition not a blocker to start your new career.
Course Information
SKILLS
Online Prework
Module 1
Module 2
Module 3
During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in Berlin. 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!
Want to learn more about Ironhack and our Data analytics bootcamp in Berlin before applying?
Career Services
Careerhack is Ironhack's Career Services program. It's designed to help Ironhackers identify their ideal outcome, and reach it as fast as possible. We've helped thousands of students land their dream job in tech. Discover how we will help you!
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).
Exclusive partnership for international and local students
Income Share Agreements
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. Available only for people from the following Nationalities who are currently residing in Germany: European Union Citizens, Lichtenstein, Switzerland, Norway, UK, Iceland, Monaco, USA, Canada, Australia, New Zealand and Israel.
Bildungsgutschein
Perfect option for people registered in the German job search system. The steps to follow in this case are very simple. Ironhack Bootcamps are already validated by the Bundesagentur für Arbeit for all of our courses.
Get funded by the German job office
Income Share Agreement (ISA)
CHANCEN eG takes care of the students’ full tuition fee (incl. deposit). When they graduate and start working, income based repayments are made to CHANCEN eG over a 5 year period.
Don’t pay anything until they land your dream tech job
Raafat is a serial tech entrepreneur, Data Scientist and Engineer. He likes everything in tech and in particular Data! He loves working on old, new, small, big, messy and clean data in order to squeeze every possible insight out from it. In his free time, he likes to play basketball, table-tennis, chess and internet surfing. And of course, he loves teaching.
In the course-data-analytics-campus part-time course, you will study on weekdays from 6:30 p.m. to 9:30 p.m. (either Monday and Wednesday or Tuesday and Thursday, depending on the campus and cohort) and on Saturdays from 10 a.m. to 5 p.m. 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.
18:30
Daily lessons and standupYour first weekday of the part-time course will begin with two lectures, each lasting about fifty minutes, with a break in between each one.
20:30
Individual projectIndividually apply what you learned during the lectures to a new project laid out in a brief by your teachers.
18:30
Daily lessons and standupYour second weekday of the part-time course starts off with two lectures, each lasting around fifty minutes and featuring a break in between the sessions.
20:30
Individual data projectApply what you learned during the lectures to new projects guided by your teachers.
10:00
Daily standup and lecture block 1Following your usual standup, Saturday starts off with two fifty-minute lectures with a break in between them.
12:00
Hands-on learningApply what you learned during the morning to your individual data project and additional case studies.
13:00
LunchTime to eat, rest and recharge those batteries! Our campus is located in the heart of the city, so you’ll find excellent lunch options in any direction. Feel free to bring food from home, too.
14:00
Lecture block 2Right after lunch, you’ll learn even more theory with some excellent lectures delivered by your lead instructor.
17:00
Show and tellAs each Saturday comes to a close, you’ll have the opportunity to apply everything you’ve learned and review the development of your individual data project.
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!
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