Austin Data Analytics and Visualization Boot Camp

Learn Data Analytics
in 24 Weeks

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Class starts January 9, 2018 in Austin

Featuring:

  • Learn Advanced Excel, Python, JavaScript (D3.js, Leaflet.js), HTML/CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and more.*
  • Study part-time, three days a week, while maintaining your work schedule.
  • Develop concrete, in-demand skills to graduate from the program ready to apply your knowledge in the professional world.
  • Complete projects using real data sets from the worlds of finance, healthcare, government, social welfare, and more—allowing you to build a strong portfolio with a professional demonstration of mastery.
  • Benefit from a wide range of career services to position you for success as you work to advance in your current career or seek a new opportunity.
*The material covered in this course is subject to change due to market demand.

What Students Receive

  • Students will learn the fundamental and specialized skills necessary to land a job or advance in the booming field of data science, including Python, JavaScript, Advanced Excel, SQL Databases and more.
  • Students are equipped with the technical skills needed to translate data into competitive insights in the workplace, leading to career advancement opportunities.
  • Students receive a hands-on, classroom learning experience, conducting robust analytics on a host of real-world problems.
  • Students working to change career paths receive career-planning assistance, including industry speakers and company-led events, resume, LinkedIn and portfolio support, and interview preparation.
Student Demo


What Graduates Earn

  • A Certificate in Data Analytics and Visualization from UT Austin, showcasing your accomplishments to future employers.
  • Access to a network of Boot Camp employer partners.
  • A strong professional portfolio of projects that demonstrate your mastery of the skills learned.


About The University of Texas at Austin

Like the state it calls home, UT Austin is a bold, ambitious leader. Ranked among the biggest and best research universities in the country, UT Austin is home to more than 51,000 students and 3,000 teaching faculty. Together they are working to change the world through groundbreaking research and cutting-edge teaching and learning techniques. Here, tradition and innovation blend seamlessly to provide students with a robust collegiate experience. Amid the backdrop of Austin, Texas, a city recognized for its creative and entrepreneurial spirit, the University provides a place to explore countless opportunities for tomorrow’s artists, scientists, athletes, doctors, entrepreneurs, and engineers.


Frequently Asked Questions

When does the program start?
Class begins January 9
Tuesday/Thursday 6:30 – 9:30 p.m.
Saturday 10 a.m. – 2 p.m.
Can I keep working while studying at the Data Analytics Boot Camp?
Yes. The program was designed for working professionals who are seeking to advance their current careers or change paths.
How long does it take to complete the program?
The program is part-time. Students can complete it in under six months (24 weeks).
Do you provide career placement support?
Yes. We offer all of our students career support and coaching as well as resume and portfolio support, interview preparation and experiential learning opportunities.
Do I need to have previous experience in programming or data analytics before applying?
No programming experience is required. It is recommended that applicants hold a Bachelor’s Degree or have at least two years of experience in business, management, finance, statistics, or a related field.
What sets your boot camp apart from others I can join in Austin or elsewhere?
  • We offer a part-time program that allows working professionals to study data analytics without leaving their current job.
  • We provide access to a robust network of corporate partners.
  • We employ first class instructors and provide a curriculum based on the most in-demand technologies specific to the market.