Frequently Asked Questions

• All Bootcamps are conducted live and online.
• The Professional Diploma in Data Analytics requires in-person attendance at Deree - The American College of Greece.
• Corporate Training courses are provided in both live online and in-person formats.
• The Python course is online on YouTube.

Yes, upon successfully completing our programs at Big Blue Data Academy GmbH, Switzerland, we issue a certificate of achievement. Our certificates are awarded in collaboration with Accredible, one of the strongest global certification bodies with prestigious clients such as Harvard, MIT, and Google. This certification validates your skills and knowledge, making it a valuable asset in your professional journey.

Furthermore, during all our Bootcamps, participants will be awarded badges for different skills after successfully passing the relevant exams. These badges provide a way to showcase your specific competencies and accomplishments, enhancing your profile and demonstrating your expertise to potential employers or clients.

At Big Blue Data Academy, we take pride in recognizing your hard work and dedication, and our certificates and badges serve as a testament to your accomplishments in our programs. Join us today to unlock new opportunities and advance your career in the dynamic world of data and technology.

Simply you can follow it from anywhere with an internet connection. Unlike some other online course options out there, which include pre-recorded lectures, our courses allow for interaction with the instructor, teaching assistants, and other students, and because of daily communication, you’ll be motivated to actually attend, do the work, and learn the material.

The importance of having an instructor is irreplaceable. We are here for you!

The academy does not hold classes on public holidays and in August.
In more detail, the days on which courses are not delivered are:

1. Christmas holidays: 24.12 - 02.01
2. Epiphany: 06.01
3. National Day: 25.03
4. Easter Holiday: Good Thursday - Easter Wednesday
5. Labour Day: 01.05, postponed to another working day if it coincides with a Sunday, a Holy Week day or Easter Monday.
6. Summer holidays: August
7. National Day: 28.10

For the Bootcamp programmes, we offer all Master graduates, with a study subject close to Data Science, a discount of up to 20% (e.g. M.Sc. in Data Science, Data Analytics, Statistics, Business intelligence, etc.).
 

Eligibility: 

The discount will depend on a) the relevance of the Master's program and b) the candidate's performance in the technical interview.

Candidates should provide course grades and proof from the University that have passed all courses of their program.

Scholarships are decided upon Academic records, limited financial state (financial statements of the last two years) and career motivation.
 

Scholarships can cover up to 50% of the costs and are limited in number for each bootcamp. If you are interested in securing a spot, please apply as soon as possible.

Applicants interested for a scholarship should apply at least two weeks before the start of the program.

Upon admission, you are required to pay a € 600 deposit to reserve your seat in the Bootcamp within three working days of signing the registration.

You have the option of paying the remaining balance:

1. in 3 instalments for the Data Science Full-Time, Data Analytics, and Data Engineering Bootcamps
2. in 5 instalments for the Data Science Part-Time Bootcamp

In case you pay the whole amount of the tuition fee before the beginning of the program, you get a 100 € discount..

Knowledge in Linear Algebra, Mathematics, Statistics and basic programming in Python is required.

Before the first day of the class, we provide you with pre-work material (including Mathematics, statistics and Python) while we are always ready to answer any question. 

Our Data Science Bootcamp is here to cover all the missing practical skills and connect you with the industry. Even if you have a Master's degree in Data Science you can follow our program and gain all the necessary practical experience the companies look for.

You will expand your GitHub portfolio and gain professional experience while working on a project with a company. Our Instructors are expert Data Scientists working in big and small companies and will share their experiences with you.

You need a computer running macOS, Linux, or Windows with at least 8GB RAM and a 4-core CPU from 2020 or later.

Some additional considerations:

• Use a laptop that you are comfortable using for extended periods, as you will be working on it throughout the Bootcamp. Consider factors like screen size, keyboard comfort, and battery life.
• Ensure you have a reliable and fast internet connection. The Bootcamp may involve downloading large datasets, using cloud-based tools, participating in video calls, and collaborating online. If possible, use a wired Ethernet connection rather than relying solely on Wi-Fi for better stability and speed.

Remember, the computer is a key tool for your learning and projects during the Bootcamp, so choose one that meets the requirements and suits your preferences.

The schedule during the Bootcamp is very dense and every day is essential for your development, thus absence should be avoided. However, in cases of emergency, we allow up to:

• 3 days of absence in total for the Data Science Full-Time, Data Analytics, and Data Engineering Bootcamps, and
• 6 days of absence in total for the Data Science Part-Time Bootcamp.