Hands-on training taught by the best professionals in the Data Analytics field. Get ready to skyrocket your career!
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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!
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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.
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!
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.
You learn how to handle messy datasets, write code in Jupyter notebooks, perform exploratory data analysis and visualize your analysis using Python packages.
You learn how to handle databases, use SQL and communicate with APIs
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.
Successful graduates
Teachning Hours
Companies Trust Us
Limited spots available
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.
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
Basic knowledge
in Python
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.
280 hours of in-depth applied Data Analytics knowledge
Our experienced tutors are industry-leaders and provide you all the support you need step-by-step
You'll have access to our extensive hiring network, to support your career!
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!
What is the difference between our Data Analytics and Data Science Bootcamp?
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.
What is 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.
Why is Data Analytics important?
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.
What does a Data Analyst do?
A Data Analyst can collect, organize and interpret raw datasets in order to draw conclusions, which are often valuable for optimized business decision making.
What are the 4 Types of Data Analytics?
The 4 main types of Data Analytics can be classified as the following and answer the relevant questions:
What's the difference between a Data Analyst and a Data Scientist?
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
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