Online But Not Alone

Our online data analytics course takes our industry-tested curriculum and makes it available wherever you call home. You'll learn from instructors utilizing a 'blended learning' approach that combines online educational materials and traditional, place-based classroom methods. Our data analytics curriculum spans the data analysis pipeline: data mining, big data, data management, descriptive statistics, predictive analysis, and data presentation. The tools and techniques you learn are the ones that industry partners regularly tell us are the most valuable skills they consider when hiring data analysts.

Learn Alongside the Brightest Minds

Our highly motivated students come from a variety of backgrounds like information technology, computer science, statistics, finance, business, engineering, and mathematics. As a student, you’ll learn to code alongside a cohort of driven peers and develop meaningful connections with our world-renowned faculty and career services team, who work one-on-one with you to help find the right job opportunities. You will be able to practice data storytelling, work within a framework of a team as well as independently, and create projects that build out your professional technical portfolio.

Life as a Data Analyst

As a Data Analyst, you are a problem solver, a strategist. You engage with some of the most difficult and ambiguous projects companies might have and based on what you have gained, understood, and tested, you will be able to lead these businesses in the best solutions. Here at Galvanize, our data analytics course is designed for individuals who are interested in building a career in making sense of big data. The process of inspecting, cleaning, transforming, and meddling data is meant with the goal and intention of discovering useful information and significant insights for informing or supporting strategic decision-making.

Where Do I Start?

  • Submit your Application for the Data Science Bootcamp at Galvanize.

    Submit Application
  • Galvanize asks you to complete your Technical Admissions Assessment

    Learning Challenge
  • Begin Galvanize's Data Science Prep Program today

    Readiness Assessment
  • Begin your Software Engineering or Data Science Coding Bootcamp at Galvanize

    Begin Bootcamp

Join Our "Day in the Life of a Data Analyst" Event!

What does a data analyst actually do? In this panel, we'll hear a bit more about our panelists' backgrounds, their journey into the data analytics world, their experience for both behavioral and technical interviews, the day-to-day as a data analyst, the skillsets they leverage such as Excel, Tableau, Python, SQL, and Statistics.

Upcoming Online Courses

Sep6 - Nov19

10 Weeks | Remote | Eastern

Sep6 - Nov19

10 Weeks | Remote | Pacific

Nov29 - Feb25

10 Weeks | Remote | Pacific

Nov29 - Feb25

10 Weeks | Remote | Eastern

Tuition Assistance

Income Share Agreement

Pay tuition when you're employed.

Pay Upfront

Pay the full tuition upfront and pay the first day of class.

$12,980

Split Payment

Pay the first half of tuition day 1 of class, and pay the remaining balance at the midpoint.

$12,980

Lending Partners

Finance your tuition by leveraging our lending partners: Ascent or Climb Credit.

Curriculum

Module 1: Introduction to Data Analytics and Data Basics

Students jump right into the concept of data and exploring the data in a business environment. You will learn how to gather, clean and interpret data, and will create analyses and dashboards while building their skills in Excel, SQL and Tableau. At the end of this module, you will complete a capstone project that demonstrates your ability to perform statistical analysis, create visualizations, and generate a presentation and report to communicate your findings.

Module 2: Data Exploration with Python

Students learn how to code in Python and use Python libraries for analysis. You will tackle data processing and cleaning using Python, learn how to relate Python libraries to Excel, and perform a basic Exploratory Data Analysis. You will continue to hone your cumulative technical skills while building your presentation, interview and self-management skills in your second capstone project.

Module 3: Probability, Descriptive Statistics, and Business Analysis

Students will dive into probability, statistics and hypothesis testing using real-life data sets to derive business insights. Using Inferential Statistics, you will apply your business analytics skills by performing regression analysis, including linear regression, logistic regression, and multivariate regression - all in Python. This module culminates in a final capstone project where students perform statistical analyses, create visualizations, and communicate findings using a compelling dashboard and presentation.

Find a Data Analytics Job with Career Services

Our Career Services team helps you develop important personal branding, networking, and interviewing skills to ensure you have a successful post-graduation job search strategy.

Check out our top data analytics blogs!

Data analyst salary map 2021: How does your state compare?


It’s important to know where in the United States the data analyst job market is the strongest and what it’s going to cost you to live in those areas.

Data analytics vs. data science: What’s the difference? [video]


Not sure whether you should take the Galvanize Data Analytics Immersive or the Data Science Immersive? We compare the two programs and industries.

Top 7 companies for data analyst salaries in 2021


Learn which companies pay the best, what perks they offer, and what work-life balance looks like. Average pay for data analysts can be excellent!

Learn from Expert Data Analytics Instructors

Our team of experienced, full-time instructional faculty utilize real-world case studies, big data, and business analytics to teach best practices in data analysis, statistical analysis, data visualization, and informed and strategic decision-making that will prepare you for a successful career in Data Analytics.

Learn More

Take your first step toward a new career and start the conversation about Data Analytics.



Call the Galvanize Admissions Team

Contact Us

Have questions? Our enrollment team is here to help. Call us at (720)-615-0225 or email us at enrollment@galvanize.com.

Call Us
Attend An Event at Galvanize

Attend an Event

Join us for an info session, workshop, or tour and learn about our student life.

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