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Data Analytics

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.