Next Program Dates

October 14 - February 3

Apply By

30 September

   

Where "BigBluers" got hired

About the Bootcamp

Become a certified Data Analyst

Our Data Analytics Bootcamp is an intensive hands-on training tailor-made for dedicated people of diverse backgrounds seeking to transition into the exciting field of data analytics. 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 course.

Upon completion, you'll be prepared for roles such as Data Analyst, Business Intelligence Analyst, Marketing Analyst, Financial Analyst, Data Visualization Specialist, etc.

 

Excel in Python, SQL, and tools for data handling, analysis, and visualization and master the art of extracting meaningful insights, patterns and trends.

The Bootcamp was everything I could ask for!

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Maro Kairasidi

Big Blue Benefits

Made by Professionals for Professionals

    • Designed and taught by experts of the data industry

    • Project-based curriculum with real-world challenges

    • Final project to learn how a data professional works, collaborates and communicates their results

    • Familiarity with important technical and soft skills

    • Structured GitHub profile and strong portfolio to showcase to recruiters

    • Career coaching and Job assistance

    • Hiring Network

4.94/5

140 Reviews

Our Method

Active Learning

25% theory - 75% practice

During each day we spend max 25% of the time for theory (lecture, live coding, code reviews) in order to get you as fast as possible to the exercises, where the real learning and fun begins!

Experienced Professionals

Real-world knowledge

Our instructors are professionals in the industry. With their real-world experience, they will help you learn practical and soft skills and build a strong foundation to begin your data science career.

Alumni

Our Graduates get a Job Offer in less than 3 months!

Program Outline

Curriculum in Modules

Each module introduces new concepts, leading to the final project where you apply everything you've learned. This hands-on experience solidifies your new in-demand skills and demonstrates your ability to put them to use. Understand the business thinking behind any concept.

Get the curriculum

Preparation

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!

Tools that will be used:

 

Module 1

  • Python

Learn Advanced Python for Data Science and Business Analytics.

  • Version Control

Become proficient with GitLab and GitHub to organize code and work in teams.

  • Command Line

Automate the tasks and navigate and manipulate file systems.

Tools that will be used:

   

Module 2

  • Exploratory Data Analysis

Master advanced techniques in Pandas to handle messy datasets, write code in Jupyter notebooks, and make EDA to uncover hidden patterns and insights.

  • Data Visualization

Create interactive dashboards with Matplotlib, Seaborn, Plotly & Dash, Streamlit and Power BI, and communicate your results with business-like presentations.

  • Github Project: Exploratory Data Analysis & Insights

 

Tools that will be used:

      

Module 3

  • Data Access from Any Source

Make advanced queries to handle databases, using SQL. Communicate with APIs and do web scraping to get data for your projects.

  • Interactive Dashboards for Effective Data Storytelling

Practice on Power BI, Plotly & Dash and MongoDB. Work efficiently with ChatGPT and handle big data.

  • Github Project: Interactive dashboard

 

Tools that will be used:

      

Data Challenge

Data Analytics Final Project

Work within a team on your final project, applying everything you have learned in practice on a real-wold use case. The program finishes with the final exam and the presentations of the final projects, where you receive your certification.

Duration

14 weeks
280 hours

Schedule
Mon-Wed-Thurs
18:00-22:00
Saturday
10:00-17:00
Language
In class: Greek
Materials: English
Prerequisites

Basic knowledge
in Python

Our Impact

50

Companies Trusting Us

130

Projects

280

Successful Graduates

12000

Teaching Hours

Career Support

We’ve got your back

Career Options

After completing your training, you’ll be confident to apply for various data roles, depending on your prior experience and field.

Career Coaching

Workshops on creating a standout CV and LinkedIn profile, mock technical interviews, and support throughout the hiring process.

Hiring Network

We link you with industry professionals and companies, expanding your network and supporting your career goals.

Tuition Fees & Dates

Kickstart Your Career in Data Analytics!

14 Oct

Start Date

30 Sep

Last Apply

0

Seats left

2.500€

Tuition

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.

Application Process

Start your Application

Apply to the Program

Fill in and submit your application. Tell us about yourself and your motivation to enroll.

Personal Interview

We reach out to schedule an interview with a member of our team. We'll discuss your technical background and career goals, and provide details about the course.

Technical Interview

We will invite you to a second interview with one of our Data Scientists to assess your programming skills and critical thinking through a discussion.

You can prepare yourself by watching the Introduction to Python for Data Science course on YouTube.

Welcome to Big Blue!

You're ready to embark on your Data Science journey. You'll receive the Prep-Work exercises to work on before your first day of the Bootcamp.

Job-ready Portfolio

Real-world project to showcase your skills

Work on a real-world data analytics project, present it to an audience and meet prospective employers. Build a job-ready portfolio to show to recruiters.

FAQ

Data Analytics is the process of analyzing (collecting, transforming and organizing) raw data, to make valuable conclusions from that information, which can prove to be vital for professionals and companies. It's important because it leads to more optimized decisions and even makes predictions and spot trends.

A data analyst can work in a variety of industries, including technology, finance, healthcare, retail, marketing, sports, HR, and consulting. They use their skills to analyze data, identify trends, and make informed recommendations to help businesses make better decisions. 

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?

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 and Machine Learning.

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.

Lauch​ your career as a Data Analyst