Classes begin quarterly
Online Austin Data Analysis and Visualization Boot Camp
Learn Data Analytics in 24 Weeks
The Data Analysis and Visualization Boot Camp at Texas McCombs puts the student experience first, teaching you the knowledge and skills necessary to conduct data analysis on a wide array of real-world problems.
In just 24 weeks, you’ll journey through a challenging curriculum and gain the specialized skills needed to analyze big data and solve complex real-world problems. With a part-time schedule, you’ll attend class in the evenings and weekends, allowing you to fit this program into your life whether you’re in college or working full time.
» Is this program for you?
At the Data Analysis and Visualization Boot Camp, you’ll dive into a comprehensive curriculum, learning how to collect, analyze, and visualize big data. If you are hard-working and want to join the data revolution, or if any of the following sound like you, we believe this could be the professional move you’ve been searching for:
- You’re a manager or professional in a business where data is crucial to the bottom line.
- You’re currently a data professional and want to advance your career by gaining new technical skills.
- You’re interested in visualizing consumer, social or popular trends.
- You want to enter a new field like government, media or healthcare—and are looking for a way in.
- You’re a full-time student but wish to expand their knowledge and bolster their skill set for the upcoming job hunt.
Front End Web Visualization
Geomapping with Leaflet.js
Business Intelligence Software
Big Data Analytics with Hadoop
* Note: These topics are subject to change based on local market demand and the input of our hiring partners.
Those who complete the online data analytics program can be qualified for a number jobs including:
- A data analyst looks at large amounts of information to glean data-driven insights using a variety of coding, statistics, and tools. Responsible for collecting, cleaning, sorting, and analyzing large amounts of data, these individuals are crucial to today’s businesses, allowing for a strategic approach to making important organizational decisions and understanding their customers. While an analyst’s choice of technology will depend on the company or project they’re working with, most tend to have a basic mastery of programming in Excel, SQL databases, Python, and Tableau — and that’s just scratching the surface. To better perform their duties, data analysts often work to build custom data systems and methods for collection and data analysis before communicating their findings to company stakeholders in non-technical format. In addition to mastering industry-relevant databases and libraries, data analysts are also expected to be well-versed in identifying trends and patterns, producing easy-to-read reports, and collaborating across teams. While it’s the data analyst’s main responsibility to deliver insight, it’s just as important that they are able to clearly communicate those insights so a company or client can make a decision that best fits their big-picture goals moving forward. As a result, soft skills are equally important to professional success as technical skills, and a data analytics boot camp can help aspiring analysts master a variety of hard and soft skills to bring to the job. Because data analysts work so closely with both structured and unstructured data, individuals with strong math and statistical skills, a basic understanding of coding, and a keen eye for business tend to be strong candidates for the role.
- A data scientist employs advanced skills that include those of data analysts, data engineers, and more! Typically in the finance, government, and pharmaceutical sectors, they focus on machine learning and algorithm development for modeling trends and forecasting the future. With the rise of Big Data, these skilled professionals have become in-demand across industries as businesses work to leverage the massive amounts of information they’ve collected. This newer role in the tech world straddles IT and business, and since both fields require a fundamental understanding of math and statistics, many current data scientists actually got their start in analytics. Before an analyst can sort through a dataset to draw valuable insights, a data scientist is responsible for collecting that data and converting it to a usable format that can then be organized and analyzed, and are also often in charge of writing the code that performs the analysis itself. To be successful in the role, data scientists should have a strong grasp of programming languages — Python and R being the most popular for the field — as well as a solid understanding of data visualization, data preparation, machine learning, deep learning, and text analytics technologies. Much like data analysts, soft skills like communication and time management are just as crucial to the role of a data scientist. A data analytics boot camp can help fill in the gaps through hands-on projects and peer collaboration, and can prepare learners for a job in the field through real-world working scenarios and career support services.
- Simply put, business analysts are problem-solving powerhouses who work with businesses to solve current and future problems. These data professionals use Excel and PowerPoint to create reports around key business questions and develop strategies based on macro trends in the data. Working alongside key stakeholders and decision-makers, business analysts must be able to clearly communicate advice and guidance in order to efficiently facilitate business needs, which they then turn around to communicate to internal or external IT teams — or vice versa. The tasks they perform on any given day will depend on the project they’re working on, what stage of the project they’re in, and additional variables involved; they might perform analyses of business needs, manage or assist in the development of a project, perform QA testing, or align with stakeholders, among other responsibilities. To be successful in the role, candidates should have in-depth experience in forecasting, budgeting, and financial analysis as well as an understanding of key performance indicators (KPIs), as well as a familiarity with analytics tools like SQL and Tableau. It also helps to have a strong knowledge base around regulatory and reporting requirements. Of course, much like any other data-heavy position, soft skills like collaboration and communication are must-haves if you want to stand out to employers and get the job done. The hands-on projects and career support offered through a data analytics boot camp can quickly provide aspiring business analysts with the real-world experience and they need to provide genuine value within a company and implement meaningful change.
Frequently Asked Questions
Our data analysis and visualization boot camp in Austin is being held via our tried and tested virtual classroom experience. Call us at (512) 308-3584 for more information on how to apply, or visit our Online Experience page to learn more.
No, admission to UT Austin is not a requirement for enrollment in the Data Analysis and Visualization Boot Camp.
No programming or data analytics 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.
Our part-time program costs $11,500*. Scholarships and payment plans are available for those who qualify.
*Tuition is subject to change
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- 24-week Class
- Classes held two weekdays from 6:30 to 9:30 p.m. and Saturdays from 10 a.m. to 2 p.m.
UT Austin Boot Camps are offered in partnership with Trilogy Education Services, a 2U, Inc. brand.
About Trilogy Education Services
Trilogy Education is a workforce accelerator that empowers the world’s leading universities to prepare professionals for high-growth careers in the digital economy. Thousands of people around the globe have completed Trilogy-powered programs, and more than 2,000 companies—including 50% of the Fortune 100—employ them.