Here are key features and aspects of the Flatiron School Data Science program:

1. Comprehensive Curriculum: The program includes a comprehensive curriculum that covers fundamental data science concepts, programming in Python, data manipulation and visualization, statistical analysis, machine learning, and more.

2. Real-World Projects: Students work on practical, real-world data science projects that allow them to apply their skills to solve real problems and build a portfolio to showcase to potential employers.

3. Flexibility: Flatiron School offers both in-person and online options, allowing students to choose the format that best suits their learning preferences and schedule.

4. Experienced Instructors: The program is taught by experienced data scientists who provide guidance, support, and mentorship throughout the learning journey.

5. Career Services: Flatiron School provides career services to help students with job placement, including resume building, interview preparation, and networking opportunities with industry professionals.

6. Collaborative Learning Environment: Students often work in a collaborative and immersive learning environment, allowing them to learn from their peers and build a professional network.

7. Capstone Projects: The program typically includes capstone projects where students tackle complex data science problems independently or in teams, demonstrating their skills and creativity.

8. Admissions Process: Admission to the Flatiron School Data Science program may involve an application process and an interview to assess candidates’ motivation and readiness for the program.

9. Time Commitment: The program duration can vary depending on the format chosen, but it generally requires a significant time commitment to complete the coursework and projects.

10. Certification: Upon successful completion of the program, students receive a certificate, which can be a valuable credential when seeking data science positions.

11. Financial Options: Flatiron School may offer financial options, including scholarships and payment plans, to help students with the cost of the program.

12. Technical Support: Students typically receive technical support and access to resources, including learning materials and tools, to facilitate their learning