Online Data Analytics and Visualization Bootcamp

Uncover hidden patterns and turn complex information into clear data visualizations that drive smarter decisions.

With data professional employment predicted to grow 23% by 2033, there’s never been a better time to improve your technical skills and earn an industry-aligned data analytics certification.

QuickStart’s 100% online Data Analytics and Visualization Bootcamp can prepare you for a data analytics career in 10-18 weeks.

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

At a Glance: Online Data Analytics Bootcamp Training

  • Designed for entry-level data analytics jobs, no experience needed
  • Affordable
  • Full-time and part-time programs
    (10 and 18 weeks)
  • 100% online instruction
  • Dedicated job preparation for data analytics roles
  • Beginner-friendly IT instruction for careers with annual salaries $30k higher than the national median

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, high salary career in data analytics with real-world training for beginners and extensive career support.

Explore the Data Analytics and Visualization Learning Experience

Data Analytics Bootcamp Capstone Project

Impactful Projects and Assignments

During the program, you’ll complete several projects that mimic real-world challenges, preparing you to face similar problems in your future career. You will use Python, SQL, and Power BI to analyze healthcare datasets, identify patterns, perform exploratory analysis, and create visualizations, with the potential to develop predictive models for patient risks or treatment outcomes. The final project will help you showcase your new technical skills and knowledge to prospective employers.

Data Analytics Bootcamp Mentoring

Virtual Hands-On Data Analytics Lab Experiences

Your data analytics courses will include several lab assignments that allow you to test your knowledge in a virtual, hands-on "sandbox environment." This is a controlled and secure space for students to experiment without the risk of causing damage or compromising actual systems.

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. We 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.

Data Analytics Bootcamp Comprehensive Student Support Services

Industry Leading Student Support

Unlike other boot camps, we offer all-around student support services to improve your experience and create an encouraging learning environment. We help students succeed in mastering data analytics and visualization skills through weekly virtual office hours, personalized 1:1 mentoring sessions, and access to a 24/7 AI tutor.

Data Analytics Bootcamp Extensive Career Services

Extensive Career Services

This data analytics online bootcamp equips you with the necessary technical skills for an entry-level data analytics and visualization role. We’ll also support you in finding internships that help you test this new knowledge. You will have access to a wide range of resources, including a career services platform with job opportunities and a talent portal where hiring organizations can contact you. Through the entire process, we offer guidance on how to market your new data analytics and visualization skills to potential employers.

  • Career Coaching

    Focus on achieving your professional goals and prepare for the job search through 30-minute sessions with a career coach.

  • Interview Prep

    Learn how to ace your data analytics and visualization interviews for jobs or internships 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 Careers & Salaries

Our program prepares students for a range of data analytics and visualization roles. While salaries and careers will vary, explore the 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 accessible and informative data visualizations to communicate insights and findings
$105,000/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
$92,677/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
103,029/year

Sources: Talent.com, 2024, Robert Half 2024

Re-Imagine Your Career as a Data Analytics Professional

You could be the person who uncovers hidden trends and presents data in ways that help companies make smart decisions. In addition to the titles listed above, there are many jobs focused on analyzing, interpreting, and visualizing data across businesses, education, and more.

While some of them require more experience than others, take a moment to consider your possible next steps after one to two years in the data analytics field and after completing your bootcamp course.

As a Data Scientist, you’ll dive deep into data to find patterns and trends that guide a company’s strategy. This could include distributing resources more effectively, increasing production efficiency, or overseeing the supply chain. You’ll sort through large datasets to provide leaders with concrete ways to improve operational success, so this role requires strong analytical and big-picture thinking skills. Wondering about salary? In 2023, data scientists earned a median annual wage of $108,020 (U.S. Bureau of Labor Statistics).

Data Visualization Specialists focus specifically on turning data into visuals like charts, graphs, and dashboards. In this role, you’ll use tools like Tableau or Power BI to make data insights clear and accessible for everyone in the company. This is perfect for creative problem-solvers with a knack for design and data, and it offers strong job growth prospects as more companies rely on data to make informed choices.

To get a feel for these jobs, data analysts internships are a great way to start. You’ll work alongside other data professionals, learning how to use your technical skills in real-world scenarios. With hands-on experience, you’ll be ready to advance in these exciting and well-paying data careers.

Alumni Success Stories

Students from our bootcamp programs now work at notable organizations nationwide, including:

  • Data Analytics Bootcamp Apple Logo
  • Data Analytics Bootcamp AT&T
  • Data Analytics Bootcamp Oracle Logo
  • Data Analytics Bootcamp Meta Logo
  • 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

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

18-Week
Data Analytics and Visualization Bootcamp

$8,900*

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

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

10-Week
Data Analytics and Visualization Bootcamp

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

Data Boot Camp Courses

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

Curriculum Overview
  • 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
  • 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
  • Data Analytics Bootcamp Data Analytics - Career Simulation 1

    Data Analytics - Career Simulation 1

    Part Time: Week 4
    Full Time: Week 3
    • 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
  • Data Analytics Bootcamp Analyzing and Visualizing Data with Power BI

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

    Part Time: Week 5-7
    Full Time: Week 4
    • 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
  • Data Analytics Bootcamp Querying Data with SQL

    Querying Data with SQL

    Part Time: Week 8
    Full Time: Week 5
    • 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
  • Data Analytics Bootcamp Data Analytics - Career Simulation 2

    Data Analytics - Career Simulation 2

    Part Time: Week 9
    Full Time: Week 6
    • 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
  • Data Analytics Bootcamp Microsoft Fabrics

    Microsoft Fabrics

    Part Time: Week 10-11
    Full Time: Week 7
    • Explore data preparation, transformation, and orchestration within the Lakehouse environment
    • Visualize and present insights from cleaned data, showcasing the latest data figures and trends
  • Data Analytics Bootcamp Data Analytics - Final Career Simulation

    Data Analytics - Final Career Simulation

    Part Time: Week 12-13
    Full Time: Week 8
    • 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
  • Data Analytics Bootcamp Python Basics

    Python Basics

    Part Time: Week 14-16
    Full Time: Week 9
    • 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
  • 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

Learn from Industry Experts

Our instructors have years of experience in information technology and data science. With their guidance, you’ll develop a strong foundation to tackle the challenges that data professionals face every day.

Jeff Lund

Jeff has extensive experience developing and delivering training courses, including Power BI, Python, Machine Learning, R, SQL, T-SQL, and more. Jeff personally authored several instructor-led and two self-paced IT training courses, for which he also created pre- and post-training assessment tools. Jeff's training experience extends across government, medical, financial, manufacturing, and retail environments, among others.

Online Data Analytics Bootcamp Outcomes

QuickStart's Data Analytics and Visualization Bootcamp prepares students for successful IT careers. We pride ourselves on helping students achieve their professional goals by empowering them with in-demand technical skills and an industry-aligned certification.

  • Learn Top Data Analysis Skills

    Study industry-aligned topics and add to your tech tool belt 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 job and equipped with career resources from QuickStart

Data Analytics 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 technical skills in QuickStart’s Data Analytics and Visualization Bootcamp.

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

How We Compare to Other Bootcamps

We offer one of the most accessible and affordable bootcamps for aspiring data professionals. Discover the advantages of choosing us 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 $8,900 $14,995 $8,240 $8,500

Online Data Analytics and Visualization Bootcamp FAQs

What kind of bootcamps do you offer?

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

Our part-time and full-time tracks allow you to choose a pacing option that fits 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 $8,900.

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.

We designed the Data Analytics and Visualization Bootcamp 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.

No, there’s no need to know Python before enrolling, as you will learn the fundamentals of Python in the bootcamp.

Our bootcamps prepare students for entry-level roles. Our career services team is available to provide guidance to online learners in navigating the job search.

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

One of the fastest ways to get into a data analytics career is to take QuickStart’s data analytics and visualization bootcamp. Completed fully online this bootcamp is proven to help individuals break into this highly rewarding career.

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

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