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Big Blue Data Academy

Courses: Data Science Bootcamp

Locations

Online, Athens

About Big Blue Data Academy

Big Blue Data Academy offers data science immersive bootcamps in 12 week (full-time) and 25 week (part-time) versions and corporate training programs. The full-time Data Science bootcamp is offered either in person or live online and the part-time bootcamp... Read More

The data science bootcamp curriculum covers Git, Bash Shell, big data, cloud computing, machine learning, deep learning, visualizations, and interactive dashboards. Bootcamp students will also learn data retrieval, APIs, databases, and web scraping. Students will work on a real-world business project alongside a Big Blue Data Academy partner company for the final four weeks of the bootcamp. This project will be presented to prospective employers at the conclusion of the Data Science bootcamp on career day.

Big Blue Data Academy is open to undergraduates, Bachelor, Master or PhD graduates, and professionals. Applicants should be proficient in math and statistics and have a basic knowledge of Python programming. Applicants should be prepared for an interview with an admissions rep to discuss their technical background and career goals. Forty hours of pre-bootcamp preparation work is required for all accepted students before the start of the program.

Big Blue Data Academy provides career support including workshops on crafting an effective CV and LinkedIn profile, mock technical interviews, and access to career opportunities posted by Big Blue Data Academy collaborators. Lifelong career advice and support as well as access to the Slack community portal are also provided.

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Courses

Data Science Bootcamp

  • Cost: €3,500 - €3,900
Locations: Online, Athens
Course Description:

The Data Science bootcamp is offered in two versions: fulltime and part time.

The full time lasts 12 weeks and the part time 25 weeks

Tuition:
- Full time program: 3500 EUR
- Part time program: 3900 EUR

Hours in the classroom:
- Full time 40 hours / week
- Part time 20 hours / week

Subjects: Git, Database Management, Bash, Shell Scripting, API, Machine Learning, Data Science, Big Data, Cloud Computing

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