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Online Data Analytics and Visualization Bootcamp

Did you know the U.S. Bureau of Labor Statistics projects employment of operations research analysts (equivalent to data analysts) will grow 23% by 2032? There’s never been a better time to bolster your IT skill set and earn an industry-aligned data analytics certification.

The University of Texas at Arlington's flexible, 100% online Data Analytics and Visualization Bootcamp can prepare you to become a data analytics professional in 10-18 weeks.

  • Duration 10-18 Weeks
  • Upcoming Part-Time Cohort  
  • Upcoming Full-Time Cohort  

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At a Glance: Data Analytics and Visualization Bootcamp

  • Designed for entry-level
    data analytics jobs
  • Affordable
  • Full-time and part-time programs
    (10 and 18 weeks)
  • 100% online instruction
  • Dedicated career services
  • Beginner-friendly IT instruction

Your Learning Style

Take advantage of live, instructor-led courses and independent study.

Your Schedule

Full-time and part-time options to fit your lifestyle.

Your Future

Start a successful IT career in data analytics with the confidence that comes from applied training and comprehensive career support services.

Explore the Data Analytics and Visualization Learning Experience

University of Texas at Arlington Data Analytics Bootcamp Capstone Project

Impactful Projects and Assignments

During the program, students will work on several projects that simulate real-world challenges and scenarios, preparing them to tackle similar situations they may encounter in their future careers. The final project will serve as tangible evidence of the skills and knowledge acquired during the bootcamp, showcasing practical application and competence to prospective employers.

University of Texas at Arlington Data Analytics Bootcamp Mentoring

Virtual Hands-On Lab Experiences

Your data analytics and visualization courses will feature several lab assignments that allow for practical experience navigating through data analysis tools, technologies, and scenarios in a virtual hands-on "sandbox environment" that provides a controlled and secure space for students to experiment without the risk of causing damage or compromising actual systems.

University of Texas at Arlington Data Analytics Bootcamp MS Power BI Logo

Dedicated Certification Preparation

Our bootcamp includes dedicated certification preparation (exam preparation, targeted reviews, and mock exams) during the final weeks of the program, designed to help students review and solidify data analytics and visualization skills prior to taking the industry-aligned Microsoft Power BI Data Analyst (PL-300) certification exam. The Microsoft exam preparation course ($2,300), and exam ($165) costs are all included in your bootcamp program price, for a savings of $2,465.

University of Texas at Arlington Data Analytics Bootcamp Comprehensive Student Support Services

Comprehensive Student Support Services

Our bootcamp offers comprehensive student support services to enhance the learning experience and foster a supportive learning environment; helping students succeed in mastering data analytics and visualization skills; including weekly virtual office hours, with real-time interaction with instructors as well as personalized 1:1 mentoring sessions and access to a 24/7 AI tutor.

University of Texas at Arlington Data Analytics Bootcamp Extensive Career Services

Extensive Career Services

This online bootcamp equips you with the necessary skills for an entry-level data analytics and visualization role. You will have access to a suite of resources, including a career services platform featuring job opportunities and a talent portal where hiring organizations can contact you, and guidance on how to market your new data analytics and visualization skills.

  • Career Coaching

    Focus on achieving your career goals through 30-minute sessions
    with a career coach.

  • Interview Prep

    Learn how to ace your data analytics and visualization interviews through constructive mock interviews.

  • Resume Building

    Build an analytical resume and portfolio with the help of QuickStart's career coach.

High Growth, High Potential Data Analytics and Visualization Jobs

Our program prepares students for a range of data analytics and visualization roles. While salaries and positions will vary, explore the career opportunities typically available to our program graduates.

Role Average Salary
Power BI Analyst
  • Gather and collect data from various sources
  • Clean and preprocess raw data to ensure accuracy consistency and suitability for analysis
  • Analyze data using statistical techniques, mathematical models and machine learning algorithms to identify patterns, trends, correlations and insights
  • Generate reports and analyses to generate results and provide recommendations
  • Create visually appealing and informative graphs charts and dashboards to communicate insights and findings
 $100,000/year
Data Analyst
  • Collect and analyze data from various sources to identify trends, patterns and correlations
  • Develop and produce reports and dashboards to summarize key metrics and performance indicators
  • Understand organizational needs and requirements, translate those into technical specifications for analysis and reporting solutions
 $78,063/year
Business Intelligence Analyst
  • Use automated tools to extract data from primary and secondary sources
  • Remove corrupt data and fix code errors and related problems
  • Develop and maintain databases and data systems
  • Perform analysis to assess data meaning and quality
  • Prepare analysis reports
 $95,001/year

Sources: Talent.com, 2023, Robert Half 2023

Alumni Success Stories

Students who have completed our bootcamp programs have secured positions at notable organizations nationwide, including:

  • University of Texas at Arlington Data Analytics Bootcamp Apple Logo
  • University of Texas at Arlington Data Analytics Bootcamp AT&T
  • University of Texas at Arlington Data Analytics Bootcamp Oracle Logo
  • University of Texas at Arlington Data Analytics Bootcamp Meta Logo
  • University of Texas at Arlington Data Analytics Bootcamp American Airlines Logo
  • Berkshire Hathaway
  • Capgemini
  • Charles Schwab
  • Cognizant
  • Cisco
  • Fidelity
  • Fiserv
  • General Electric
  • General Motors
  • Home Depot
  • Norton Lifelock
  • Revature
  • Shake Shack
  • Skillstorm
  • Tesla

Choose Your
Learning Track

Our part-time and full-time program options are designed to accommodate your learning style, your schedule and your entry into the IT field

PART-TIME TUITION INCREASES IN 2025

PART TIME

Next Cohort:  
  • Instructor-led sessions 2x weekly
  • Hands-on labs
  • Capstone projects
  • Peer collaboration
  • Dedicated certification preparation
  • 20-25 hour weekly commitment
  • Career services
PART-TIME TUITION INCREASES IN 2025

18-Week
Data Analytics and Visualization Bootcamp

$7,900*

Explore Pricing Options *Pre pay discount available
PART TIME
Next Cohort:  

This pacing option offers a balanced approach to virtual learning. Part-time learners engage in primarily asynchronous course content, complemented by live class sessions 2x weekly. This format is ideal for students who want instructor support and have a more flexible schedule.

Explore Pricing Options
New!

FULL TIME

Next Cohort:  
  • Live, online instructor-led sessions, Monday- Friday
  • Hands-on labs
  • Capstone projects
  • Peer collaboration
  • Dedicated certification preparation
  • 35-40 hour weekly commitment and additional ~10 hour weekly independent work
  • Career services
New!

10-Week
Data Analytics and Visualization Bootcamp

$12,000

Explore Pricing Options
LIMITED TIME DISCOUNT

$12,000 $10,500

*Discount applies to October 2024 full time cohorts only. Explore Pricing Options
FULL TIME
Next Cohort:  

The full-time training option condenses the program into a 10-week timeline for motivated data analytics and visualization students. Learners participate in synchronous class sessions to advance their skills with instructor support.

Explore Pricing Options

20 WEEKS

Next Cohort: Coming Soon
  • Virtual Hands-On Labs Hands-on labs provide an opportunity to apply theoretical knowledge to practical situations.
  • Virtual Office Hours Scheduled live sessions held on a weekly basis where students have the opportunity to ask questions, seek clarification, and interact with the facilitator.
  • Capstone Projects Capstone projects will demonstrate to employers the skills and knowledge you acquired through the bootcamp.
  • Career Services QuickStart’s career services assist students in their efforts in finding a role in Data Analytics and Visualization through resume building, mock interviews, and internship and job opportunities access.
  • Annual Program Access Students will have 12 month access to program content (6 month for labs) after bootcamp completion.

Accelerated
Data Analytics and Visualization Bootcamp

$18,000*

Explore Pricing Options & GI Bill Eligible
20 WEEKS
Next Cohort: Coming Soon

Students attend instructor-led sessions that result in 18 course-hours per week. This accelerated format supports information retention and supports certification preparation, and provides real-world experience through lab work and projects.

Explore Pricing Options

Bootcamp Courses

Through our partnerships with top technology organizations, we’re able to offer leading-edge IT training, and coursework designed for the future of the field. Each bootcamp course will prepare you with new skills and tools to pass top industry and a career-relevant certification.

Curriculum Overview
  • University of Texas at Arlington Data Analytics Bootcamp Introduction to Data Science and Analytics

    Introduction to Data Science and Analytics

    Part Time: Week 1
    Full Time: Week 1
    • Master the fundamentals of the data analysis process: gathering, cleaning, analyzing, and sharing insights
  • University of Texas at Arlington Data Analytics Bootcamp Analyzing and Visualizing Data with Excel

    Analyzing and Visualizing Data with Excel

    Part Time: Week 2-3
    Full Time: Week 2
    • Clean and transform raw data using Excel’s built-in functions and tools
    • Design and build interactive dashboards using Excel
    • Make data-driven decisions based on quantitative insights derived from their analyses
  • University of Texas at Arlington Data Analytics Bootcamp Python Basics

    Python Basics

    Part Time: Week 4-6
    Full Time: Week 3
    • Learn the essential building blocks of Python, including variables, data types (such as integers, floats, strings, and lists), and basic operators
    • Create reusable code blocks, pass arguments, and return values
    • Explore Python’s built-in modules and libraries for extended functionality
  • University of Texas at Arlington Data Analytics Bootcamp Career Simulation 1

    Career Simulation 1

    Part Time: Week 7
    Full Time: Week 4
    • Develop an exploratory data analysis report using Excel
    • Use Python to extract data from external files (such as CSV, JSON, or databases) and prepare it for analysis within Excel
  • University of Texas at Arlington Data Analytics Bootcamp Analyzing and Visualizing Data with Power BI

    Analyzing and Visualizing Data with Power BI (PL-300)

    Part Time: Week 8-10
    Full Time: Week 5
    • Create efficient data models in Power BI, including relationships, calculated columns, and measures
    • Design interactive reports using Power BI visuals, filters, and bookmarks
    • Write Data Analysis Expressions (DAX) formulas for custom calculations and aggregations
    • Publish Power BI reports to the cloud and share them securely with stakeholders
  • University of Texas at Arlington Data Analytics Bootcamp Querying Data with SQL

    Querying Data with SQL

    Part Time: Week 11
    Full Time: Week 6
    • Query and retrieve relevant information efficiently
    • Modify data using SQL statements like INSERT, UPDATE, and DELETE while maintaining data integrity
    • Understand the importance of structured data organization for efficient querying
  • University of Texas at Arlington Data Analytics Bootcamp Career Simulation 2

    Career Simulation 2

    Part Time: Week 12
    Full Time: Week 7
    • Transform and prepare raw data using SQL for analysis
    • Create compelling visualizations using Power BI
    • Present insights from cleaned data through interactive reports and dashboards
  • University of Texas at Arlington Data Analytics Bootcamp Microsoft Fabrics

    Microsoft Fabrics

    Part Time: Week 13-14
    Full Time: Week 8
    • Explore data preparation, transformation, and orchestration within the Lakehouse environment
    • Visualize and present insights from cleaned data, showcasing the latest data figures and trends
  • University of Texas at Arlington Data Analytics Bootcamp Final Career Simulation

    Final Career Simulation

    Part Time: Week 15-16
    Full Time: Week 9
    • Work as a team of data scientists and analysts to clean and preprocess raw data while ensuring consistency and accuracy
    • Collaborate on data quality checks, handling missing values, and standardizing formats
    • Create compelling visualization and reports and jointly present findings accordingly
  • University of Texas at Arlington Data Analytics Bootcamp Exam Preparation for Microsoft Power BI Data Analyst

    Exam Preparation for Microsoft Power BI Data Analyst (PL-300)

    Part Time: Week 17-18
    Full Time: Week 10
    • Review and refresh your knowledge of exam topics
    • Complete practice Power BI Exams and receive study tips to obtain the PL-300 credential
DOWNLOAD CURRICULUM GUIDE

Learn from Industry Experts

Our instructors have years of experience in information technology and data science. With the support of our instructors, you will develop the framework to solve problems data scientists professionals face daily.

Jeff Lund

Jeff has extensive experience developing and delivering training courses, he has covered a spectrum of courses such as Power BI, Python, Machine Learning, R, SQL, T-SQL, and more. Jeff personally authored several instructor-led and 2 self-paced IT training courses and created pre and post-training assessment tools. Jeff's training experience extends across government, medical, financial, manufacturing, retail environments, among others.

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Data Analytics and Visualization Bootcamp Outcomes

The University of Texas at Arlington's Data Analytics and Visualization Bootcamp prepares students for successful IT careers. We pride ourselves on helping students achieve their career goals by empowering them with applied and in-demand skills and certification.

  • Learn Top Data Analytics and Visualization Skills

    Study industry-aligned competencies and develop skills through virtual hands-on projects

  • Earn an Employer-Aligned Certification

    Master the skills to pass a top data analytics and visualization certification

  • Start Your New Career Path

    Complete the program prepared for an entry-level data analytics and visualization role and equipped with career resources from QuickStart

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Data Analytics and Visualization Bootcamp Admissions Process

Submit a Request More Information Form

  • 1

    Our admissions team will review your form. If you have not scheduled a call with an advisor by the time your form is reviewed, one of our team members will reach out to you to schedule an interview.

  • 2

    You’ll interview with an admissions advisor to verify that the Data Analytics and Visualization Bootcamp is the right fit for your career goals. Your advisor will also answer your questions, cover financing options, and discuss next steps.

  • 3

    Upon enrollment, you will receive access to recommended coursework to prepare for the start of classes and get a head start on your learning.

  • 4

    Begin learning new skills in the University of Texas at Arlington's Data Analytics and Visualization Bootcamp.

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Hear from Our Students

This course is perfect for anyone trying to scale up in the industry. The classes are well structured and helped me in preparing for my DASCA certification exams.​ For me, this course was worth every penny, and I am pleased with its versatility. We were able to touch on neural networks with Keras and TF2. ​It further boosted my confidence in having a firm data science and analytics foundation and rekindled my desire to learn.​ I enjoyed my time here and will recommend it to anybody interested in learning more about data science and analytics.

Michael

I enrolled myself in September for the Data Science and Analytics Bootcamp. From the beginning I was given great support by my Academic Advisor(Harris) who walked me through the dashboard and some really great features it had. The course content was self-explanatory and having no background in coding I was a bit scared in the beginning but with the help of my mentor I was able to learn quickly. Though there was a rough patch initially, but everything worked out for the best because of the quick responsiveness of the support staff. The sessions provided hands-on ​learning experience with an industry expert who guided us throughout the journey. I am really pleased and would recommend people to enroll for this bootcamp if they are looking for a career enhancement/change.​​

Ethan

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How We Compare to Other Bootcamps

We offer one of the most accessible and affordable bootcamps for aspiring data scientists. Discover the advantages of choosing the University of Texas at Arlington for your IT training.

Our Benefits Fullstack Academy ThinkFul SpringBoard
Duration (part-time) 18 weeks 26 weeks 24 weeks 24 weeks
Admissions assessment No Yes No Yes
University branded Yes No No No
Exam voucher for industry certification Yes No No No
Dedicated exam preparation Yes No No No
Tuition $7,900 $14,495 $8,240 $8,500

Data Analytics and Visualization Bootcamp FAQs

What kind of bootcamps do you offer?

We offer cybersecurity, software engineering, data analytics & visualization, and cloud engineering bootcamps on part-time and full-time learning tracks.

Our part-time and full-time tracks allow you to choose a pacing option that can accommodate your lifestyle needs. Our full-time program requires an average time commitment of 8 hours a day, 5 days a week, for 10 weeks. We recommend students not be employed during training due to the rigor of this program in the full-time option.

Bootcamp tuition ranges based on the program pace selected. The full-time Data Analytics and Visualization Bootcamp costs $12,000, while the part-time option costs $7,900.

On average, data analytics and visualization bootcamps take between 18 (part-time) and 10 weeks (full-time) to complete, depending on the modality that you choose.

Bootcamp scholarships are not offered at this time.

All online bootcamp programs are designed to accommodate students with varying levels of expertise, but certain prerequisites should be satisfied in order to ensure a smoother learning experience. Students should possess a fundamental understanding of basic computer operations, such as file management, software installation, and system navigation.

  • File Management: Ability to create, rename, move, and delete files and folders.
  • Software Installation: Proficiency in installing and uninstalling software is essential. This includes understanding the process of downloading software, running installation wizards, and managing software updates.
  • System Navigation: Ability to navigate the operating system interface with ease.

Our bootcamps prepare students for entry-level roles. Our career services team is available to provide guidance to online learners in obtaining those roles.

Yes, our career coaches will help you with resume building, mock interviews, and internship/job opportunities.

Read more about our refund policy here.

  • Processor:
    1. Intel Core i5 (or above)
      Suitable for general computing tasks.
      Balances performance and power efficiency.
    1. Apple Silicon Processors (M1 and later)
      Designed specifically for Macs.
      Offers impressive performance and energy efficiency.
  • RAM (Memory):
    1. Minimum: 8GB (for basic functionality).
    2. Recommended: 16GB (for smoother multitasking and future-proofing).
  • Storage:
    1. Minimum - 100GB of internal drive space (not USB or external).
    2. Type - Preferably solid-state drives (SSDs) for faster read/write speeds.
  • Operating System:
    1. Windows 10 or 11 (Not S Mode)
    2. macOS 11 or above

Download Full Syllabus

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Privacy Policy.