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Our Data Science Bootcamp gives you all the skills and network for a successful career in Data Science. You will learn how to extract meaningful insights from raw data, use Machine Learning / AI to solve real business problems, and communicate your results with appealing dashboards to different stakeholders in an organization.
The program aims to take you from beginner to job-ready Data Scientist. Our career advisors help you get hired as a Data Scientist, Data Analyst or Machine Learning Engineer. At the end of the program you will become a certified professional from a renowned Swiss institution.
The Bootcamp was everything I could ask for!
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Maro Kairasidi
Hands-on Training
500 hours of hands-on training, taught by professionals, where you’ll apply all your learnings in practice. You obtain the skills and mindset employers are seeking.
Project-based curriculum
Build your Github portfolio. At the end, you’ll work as part of a team on a real Data Science project in collaboration with a company.
Hiring Network
We partner with top companies looking to hire Data Science talent. You connect with our professional and Alumni network.
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
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.
Our team is by your side!
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.
Course Language: Greek
Content: English
Prerequisites: Μath, stats, and basic knowledge in Python
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Μath, stats, and basic knowledge in Python
We structured the Bootcamp so that in each module 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.
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
Big Data
Access and manipulate large amounts of text data from NoSQL servers (MongoDB).
Neural Networks
Neural Networks and Convolutional Neural Networks with keras.
Image detection using Deep Learning Neural Networks.
Natural Language Processing
Classic NLP for sentiment analysis, topic modeling, named entity recognition.
NLP with deep learning for recommender systems.
Statistics
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.
Companies Trust Us
Successful graduates
Teachning Hours
Curriculum desighed and taught by Data Science Industiry experts
Project Based Curriculum with real data and real-world use cases
Industrial project to learn how a data scienctist plan, communicate and work in a team
Active Learning - 25% Theory - 75% Practice
Our experienced teachers will help you quickly learn practical skills and build a strong foundation to begin your data science career.
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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:
Data Scientist
Data Analyst
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.
Full-Time Bootcamp
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Part-Time Bootcamp
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Tuition
Tuition fees are payable in up to 4 installments. For more details about payment have a look at our FAQ.
Special discounts for companies (2+ participants), contact us.
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.
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Launch your career as Data Scientist
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