Data Analyst & Big Data – Berlin
Accelerate your career with Data Analytics. Full time 5 month bootcamp.
Accelerate your career with Data Analytics. Full time 5 month bootcamp.
You will learn by practicing on real projects Mon-Fri, 9am - 5pm
We help you navigate the jobs market
You pay half up front and half when you find a job!
*Read on for details
Ubiqum Code Academy presents the Data Science intensive bootcamp in Berlin.
This accelerated professional learning program is aimed at absolute beginners who want to enter the Data Science field as a professional. The Ubiqum methodology is unique in that there are no lectures and rather the student takes the central role in an immersive Learning by Doing program. You will finish the intensive onsite course with 4 Real Projects completed as an Analyst, presentable to any future employer.
Berlin Career Advisor: Shmulik Goldfien
Email Us: firstname.lastname@example.org
Call Us: +49 30 5512 7878
Meet Us: Schedule a Video Call
Come Visit Us: Scaling Spaces – Hardenbergstraße 32, 10623 Berlin
– 8 hours / day, 5 months (800 hours effective experience)
– Max 12 students per class
– Career support and expert mentoring
– Especially suited to the following academic or work backgrounds (Maths, Science, Engineering & Business)
– This 100% practical Curriculum is designed and maintained by Data Science experts from Northwestern University and has been taught in the University Carnegie Mellon, USA.
17 September 2018
15 October 2018
12 November 2018
i). Upfront (Save 5%)
ii). In Installments
iii). Pay 50% upfront, and 50% when you get hired
A payment plan in the form of 50% of the course fees are paid upfront, before the start of the course and we will help you, with the remaining 50%, giving you time to get a job in order to pay us comfortably. This commitment allows students to split their tuition before and after their new career. In order to check your eligibility go to Our FAQ Page or talk directly with our team.
Women in Tech:
We also support Women in Tech which provides a 5% discount to all women at Ubiqum. This only applies for Upfront payments.
Those candidates who do not meet the criteria, but who are highly motivated to take our program and start a career in the tech field, are encouraged to still apply to Ubiqum. Please get in touch with our team at email@example.com.
100% Learning by Doing
Our curriculum is based on simulated work projects. You will complete the program with a portfolio of work that you completed from beginning to finish.
Guidance from mentor
Your learning journey will be supported all the way with industry experienced mentors.
We organise workshops and talks in Berlin. Join our Meet Up group below to see what’s up next!
Not only do we want to teach you coding skills, but we also want to see you succeed professionally. Through one-on-one support, we’ll help you perfect your CV and maximize your network.
By the end of this course you’ll be able to use a range of data analysis tools to help any company make better business decisions. You will bring valuable skills to your new workplace, such as interpreting significant patterns, applying data mining to business and engineering tasks, and making predictions based on data sets.
Plan and Recap
We start each day at 9am sharp with a stand-up meeting led by the course Mentor. The mentor acts like a project manager and will spend 30 mins discussing with you the tasks ahead, the common pitfalls and organise with you personal 1:1 sessions.
Through our online platform, students get a clearly-structured brief, plan of attack, and list of resources to assist them as they begin the work. You’ll be totally self-sufficient in your ability to progress through the program. You will have the mentor’s support at all times.
Students share their ideas and work together in groups, just as they would in a real work situation. Students are coming from many different technical backgrounds and will provide new insights for you.
Finish at 5pm
At Ubiqum you will have 800hours effective learning. There’s no need to burn out in the first week. Use the evenings to network, go to Meet-Ups and “live” the Data Scientist life.
Students will be “working” for Blackwell Electronics as data analysts using the Rapid Miner machine learning package. The student’s job is to use data mining and machine-learning techniques to investigate patterns in Blackwell’s sales data and provide insight into customer buying trends and preferences.
You will learn the algorithmic and organizational skills required to scale data analysis to large server farms, computing clouds, and the web, including an understanding of the design and implementation differences between single-computer and cloud-scale programs, analytics, and data processing.
Students will learn to use the R statistical programming language to perform visualizations, then to generate descriptive statistics and predictive models using time series regression techniques and statistical classifiers. Finally, students will present the results to the start-up’s management and get feedback from Industry Experts outside Ubiqum.
Admission to this course is highly competitive and rolling. It is important to apply as early as possible. The application process takes three steps.
Send us your contact details. We’ll reach out to talk more about your profile and motivation for programming.
Based on your fit for the Ubiqum program, we’ll invite you to an on campus visit to learn more about us.
After a successful meeting with us, register for the course and get ready to become a Data Scientist.
There are three qualities we look for in potential students: culture, passion, and aptitude.
The most successful students at Ubiqum learn best when they throw themselves into the material. We are looking for people that are passionate about solving problems.
Our students come from a wide range of coding experiences and backgrounds, which contributes to a richly creative and collaborative environment.
Learning to code is difficult, but not impossible. You will need to bring a determination, resilience, and a positive attitude with you every day in order to succeed. By graduation, you will leave proud of the skills you have earned through your hard work.
Our course is flexible according to student profile. So, who is this program for?
Looking to make a transition into a technical career? Our Data Analytics program is designed to help you acquire the right set of skills to land an entry-level Data Analyst job.
This course is the perfect choice for those looking to complement their existing skill set and move into a more technically focused role such as a product analyst, growth hacker, or data scientist.
Just graduated from high school or college? This course will provide you with fundamental skills to launch a career as a Data Analyst for any company or start your own business.
Below you can view some examples made by our own students during this course.
Students can expect a lot of career support from us. So far, they have started careers at companies like Hewlett-Packard, Immfly, Netquest, Netcentric and more.
Learn about the people behind our courses.
Luis hails from the science world, a previous Nuclear Physicist and IFIC Researcher. He specialises in Programming Language R and is a stickler for good presentations. Luis is passionate about data and is currently involved in several external projects with companies using Data Analytics with Big Data.
Dani is passionate entrepreneur and Data Analyst. His current focus is on Data Analysis within e-Commerce. Bringing over 10 years of teaching experience and business knowledge, Dani helps students in their personal development, communication tools, creativity and entrepreneurship. He’s also a semi-professional pianist.
After more than 15 years of experience as an educator, Ester believes that learning happens with motivation, hands-on experience, emotional impact, collaboration with others & reflection.
As engineer & professor, she has promoted innovation in education, designing project-based learning courses and mentoring in Story-Centered Curriculum in Ubiqum. She also promoted the transformation of engineering education. As a researcher, she investigated how to make computers learn (machine learning, data mining, data analytics). Personally, she is very committed to her own learning.
Her passion is to assist others to develop their full potential. As educator, mentor and coach, she assists people to get the goals they pursue in their personal and professional life. The key elements she works with others are: personal development, emotional intelligence, communication skills, creativity & entrepreneurship.
Below you will find the most common questions we get. If you have more doubts please contact us.
If you are already coming from a field that involves some statistics, you'll be fine. If not then you should consult our admissions team to evaluate your level. We're genuinely here to help so it's better to ask us before committing.
We need you 110% dedicated to the course, so unfortunately you won’t be able to work or juggle other responsibilities during the 20 weeks. Otherwise you might prefer our Distance Learning Part Time Option.