Program Facts
- University of Miami Data Analytics Boot Camp is a part-time program with convenient evening and weekend sessions tailored to the needs of working professionals and full-time students.
- Classes are held at Miami.
- The 24-week program includes instruction in high-demand technologies and frameworks including Advanced Excel, Python, JavaScript (D3.js, Leaflet.js), HTML/CSS, API Interactions, Social Media Mining, SQL, Hadoop, Tableau, Fundamental Statistics, Machine Learning, R, Git/GitHub, and more.
- Students graduate with a Certificate of Completion from University of Miami plus a strong portfolio to showcase their skills to potential employers.
- In addition to classroom instruction, students average 20-30 hours a week on outside projects and learning experiences with employers.
Hiring-Focused Facts and Messaging
- At University of Miami Data Analytics Boot Camp, students receive a wide range of career planning services, including:
- Career Content and Practice Sessions
- Database of Customizable Tools and Templates
- Multiple Technical Resume Templates
- Github Best Practices
- Guidelines To Building A Portfolio
- Creating an Elevator Pitch
- Developing a Bio
- Online Career Events With Industry Professionals
- Soft Skills Training o One-on-One Career Coaching
- When students are ready, we’ll help you become Employer Competitive with targeted job searching techniques and continued 1:1 career coaching throughout your job search.
Curriculum-Specific Facts and Messaging
- The curriculum is built around the needs and schedules of busy students and full-time working professionals.
- The program is designed to fit into your life, whether you’re employed or attending college full-time, with convenient weekend and evening sessions.
- The curriculum combines data analytics and visualization and career skills to help position students for success after they graduate.
- The 250-hour curriculum includes classroom instruction and, on average, 20-30 hours a week on outside assignments.
- Our curriculum is designed to provide you with a deep foundation on the core technical skills needed to succeed in the field.
- The program also offers students with little or no prior experience 10 hours of pre-course tutorials.*
- The curriculum incorporates a blend of real world projects, marketable hard skills, and behavioral and technical interview prep to prepare students to succeed on job interviews.
- The program is rigorous, fast-paced, and focused on the practical technical skills needed to solve data problems.
- By the time students graduate, they will have the ability to:
- Employ statistical analysis to model, predict, and forecast trends
- Expertly build VBA scripts in Excel to automate tedious manual processes
- Utilize real-world data sources to showcase social, financial, and political phenomena
- Create Python-based scripts to automate the cleanup, re-structuring, and rendering of large, heterogeneous datasets
- Analyze social media trends on Twitter and Facebook using automated programs
- Use advanced SQL and Mongo techniques to combine multiple datasets into one so as to create even more impressive and comprehensive databases
*We have pre-work designed for people with no experience to complete before proceeding in the application process. There is also pre-work for students who enroll to complete before the boot camp starts. Students without a degree or experience can apply, but they'll be told they have to work a lot harder to find a job after the program without a degree.
