Our bootcamp gives you the skills and the network you need to launch your career in Data Science. Experienced professionals bring real-world experience to the classroom, and career advisors help you get hired as Data Scientist, Data Analyst at Junior or Intermediate level. You will learn how to extract meaningful insights from data, use Machine Learning to solve business problems, and communicate your results with appealing dashboards.
Who this Bootcamp is for
Undergraduates, graduates (Bachelor, Master or PhD) and professionals who want to upskill and work in the fastest growing business field of Industry 4.0
Career changers who want to reskill their knowledge and become Data Scientists
This Bootcamp is created for people who are committed to a successful career path and challenge themselves with hard work
Week 1 to 9:
courses & exercises
Week 10 to 13:
Monday - Friday:
9.00 – 18.00
Stats & basic programming
All our graduates get hired in less than 3 months.
Very nice journey to the world of Data Science from the early steps, to the latest cutting edge technologies, such as NNs and AI's algorithms.
Intensive and extremely interesting course, great teachers and a perfect first encounter with the world of data science. It covers all the necessary subjects and provides guidance in your every step.
The instructors in the bootcamp work as Data Scientists therefore they advise us based on their expirience.
Big Blue Academy's bootcamp gives you all the skills for a successful career in Data Science. You gain on-demand knowledge and techniques required by industry and the ability to apply them to solve real-world problems.
Practical training in dealing with real-world examples and solving actual business problems
Build an impressive Github portfolio from our project-based curriculum and present your final project at the Career Day
Our Bootcamp enables you to connect with an extensive network of hiring companies and businesses
Our program gives you the skills employers are looking for
At Big Blue, we provide a best-in-class, comprehensive curriculum that enables participants to become data scientists who understand the business thinking behind any concept.
Course Language: Greek
Prerequisites: Μath, stats, and basic knowledge in Python
We structured the Bootcamp so that every week you learn something new, leading to the Final Project that puts to the test everything you have learned. Your new in-demand skills are solidified and demonstrated through this real-world application.
Start with the Pre-work at home to brush up your knowledge in Python, Math and Statistics. These 40 hours of preparation work will get you ready for the first day of the bootcamp. It must be completed before the first day of class.
EDA & Data Cleaning
Exploratory Data Analysis
Learn Python for Data Science, make EDA using Python, pandas and share your code using git.
Visualizations: Matplotlib and Seaborn and Plotly
Learn to build beautiful graphs and geodata and communicate your results with business-like presentations.
Github Project: Exploratory Data Analysis & Insights
Access Data from any source!
Learn SQL, make advanced queries and access data from databases.
Use APIs or web scrape the web to get data for your project.
Use Interactive Dashboards to say a story
Make interactive dashboards using Power Bi or Plotly & Dash with Python.
Github Project: Interactive dashboard
Learn the most used Machine Learning algorithms by the industry and use various optimization techniques to build your models.
Supervised Machine Learning
Logistic Regression, KNNs, Naive Bayes, Random Forest and Boosting, improving models, machine learning in production.
Github Project: Classification or regression
Unsupervised Machine Learning
K-means clustering, Hierarchical clustering, Anomaly detection, Principal Component Analysis, Apriori algorithm, Singular value decomposition, t-sne, outlier detection.
Github Project: Clustering
Access and manipulate large amounts of text data from NoSQL servers (MongoDB).
Neural Networks and Convolutional Neural Networks with keras.
Image detection using Deep Learning Neural Networks.
Natural Language Processing
Classic NLP for sentinel analysis, topic modeling, named entity recognition.
NLP with deep learning for recommender systems.
Inference and inductive Statistics.
Use time series analysis for forecasting.
Work on your final project on a business problem with a company.
Get the opportunity to network with companies actively seeking Data Scientists during Career Day.
We use the active model to help participants to achieve higher goals. 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!
Continuous feedback at every step of the way. Our instructors and teaching assistants are always present to mentor you, help solve problems and review code.
At the final phase of the Bootcamp you practice everything you learned by working on a real Data Science project with a company.
You get to work on a real-world business project alongside a partnering company in our campus for four weeks.
You will demonstrate your ability to deliver an end-to-end structured project and meet deadlines.
Our Bootcamp instructors offer ongoing guidance and support throughout your project work.
The Bootcamp concludes with a Career Day, where you present your project and meet prospective employers.
You are provided an extensive job placement assistance ranging from individualized resume support and interview guidance to access to our network of collaborators and events.
Upon completion of your training, you will be confident to apply, based on the industry and prior experience, to roles as:
Jr. or Associate Data Scientist
Data Science Consultant
Machine Learning Engineer
Workshops on crafting an effective CV and Linkedin profile.
Mock technical interviews and support at every step of your hiring process with a company.
Connect with other graduates and business professionals to expand your network.
Access to an extensive network and find career opportunities posted by our collaborators.
Keep always in touch with us and get updates about Data Science through articles and events.
Community portal: stay connected with graduates, instructors and spend time with your peers solving issues.
We are always there for you to give advice and support to your next career step.
Submit your application.
Tell us about yourself and your motivation to enroll.
We contact you to book an interview with a a Data Scientist of our team. We discuss your technical background and career goals. We will provide details about the program.
We will invite you for a second interview to evaluate your level of programming and critical thinking over a discussion.
You are ready to start your journey in Data Science. You receive the Prep-Work exercises and you work on them before your first day of the Bootcamp.