Next Program Dates

October 14 - February 3

Apply By

30 September


Where "BigBluers" got hired

Career support

Our Graduates Get a Job Offer in Less Than 3 Months!

Our Data Analytics Bootcamp is tailor-made for people of diverse backgrounds who want to become successful Data Analysts.

We equip you with the most in-demand skills companies are looking for so you can successfully start your career as a Data Analyst after completing the program.

The Bootcamp was everything I could ask for!


Maro Kairasidi

Hands-on Training

280 hours of hands-on training, taught by professionals, where you’ll get the chance to apply all your learnings in practice.

Data Challenges

Build your Github portfolio. At the end, you’ll work as part of a team to create and present an innovative open Data Analytics project.

Hiring Network

Expand your network, connect with companies, professionals and Alumni from our network, and support your career pursuits.

Program outline

Become a certified Data Analyst in 3 months!


Get access to pre-work materials

Access to pre-work material to get you started. It must be completed before the first day of class and then join our Discord classroom!

Module 1

Version Control, Command line, Python

You get hands-on experience using Python, Git and the command line. At the end of this module students will be able to handle data using various data types and automate tasks by executing scripts in the command line.

Module 2

Exploratory Data Analysis (EDA) with Pandas, Interactive Dashboards and Power Bi

You learn how to handle messy datasets, write code in Jupyter notebooks, perform exploratory data analysis and visualize your analysis using Python packages.

Module 3

Mastering data acquisition using SQL, MongoDB, APIs and Web scraping

You learn how to handle databases, use SQL and communicate with APIs

Data Challenges

Data Analytics project

In the final Data Analytics project you'll apply everything you have learned. The program will finish with the final exam and the presentations of the final projects, where you receive your certification.


Don't Just Take Our Word for It...

Our Impact


Successful graduates


Teachning Hours


Companies Trust Us

Book your seat

Limited spots available


What You Will Learn?

At Big Blue, we provide a best-in-class, comprehensive curriculum that enables participants to become Data Analyst who understand the business thinking behind any concept.

Python & SQL

Advanced Analytics with Pandas

Command Line, Gitlab & Github

Power BI & Business Intelligence

Accessing Data Through APIs

Web Scraping & MongoDB

Final Project

Apply Your Learnings to the Final Project

Our Bootcamp's final stage is a Data Challenge where you'll have to prepare an open data project and present it successfully

Applied and hands-on course

Discover the business thinking and value behind the data

Receive full support along the way


14 weeks
280 hours

In class: Greek
Materials: English

Basic knowledge
in Python

Tuition fees & dates

Kickstart Your Career in Data Analytics!

Special Offer

14 Oct

Start Date

30 Sep

Last Apply


Seats left

1.990€ 2.200€


Tuition fees are payable in up to 3 installments. For more details about payment have a look at our FAQ.
Special discounts for companies (2+ participants), contact us.

Why Choose Big Blue's Data Analytics Bootcamp?

100% Hands-on Training with certificate

280 hours of in-depth applied Data Analytics knowledge

Human-centric Learning

Our experienced tutors are industry-leaders and provide you all the support you need step-by-step 

Hiring Network

You'll have access to our extensive hiring network, to support your career!

Career Support

Our Career Advisors, from the very first week of the program, prepare you (CV, LinkedIn, technical interviews) for the job search and support you until you are hired!


Our Data Science Bootcamp provides you with 500 hours of all the vital knowledge to support your career in the Data Science field, while our Data Analytics Bootcamp provides you with 250 hours of in-depth hands-on training to kickstart your career in Data Analytics.

Data Analytics is the process of analyzing raw data, in an effort to make valuable conclusions from that information, which can prove to be vital for professionals and companies.

Data Analytics is important because it collects, transforms and organizes data in order to take more optimized decisions and even make predictions and spot trends.

A Data Analyst can collect, organize and interpret raw datasets in order to draw conclusions, which are often valuable for optimized business decision making.

The 4 main types of Data Analytics can be classified as the following and answer the relevant questions:

  1. Descriptive Analytics - What happened in the past?
  2. Diagnostic Analytics - Why did it happen?
  3. Predictive Analytics - What will happen in the future?
  4. Prescriptive Analytics - How can we make it happen?

The main difference between a Data Analyst and a Data Scientist is the fact that a Data Analyst searches for patterns and hidden business opportunities in an organization's data, while a Data Scientist finds ways to generate business value from it by creating personalized services using Artificial Intelligence.

Launch your career as a Data Analyst