Format:
100% online
Learn on your own time
Duration:
6 months, 15-20 hrs/wk
Finish early by putting in more hours
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Cohort starts

Why enroll in a data analytics bootcamp?

With more data being created daily, and with up to 73% of enterprise data not being used at all, companies are realizing that talented data analysts can provide them a competitive advantage and are hiring data analysts as a result. The Bureau of Labor and Statistics (BLS) expects the field to grow 25% between 2020 and 2030, significantly outpacing the national average of 8%. With median pay of $82,360, data analysts enjoy a good salary with the option to grow into more lucrative roles, such as data architect or data scientist, as they gain experience and new skills. Ranked on Glassdoor’s Best Jobs in America list for 2021, there’s never been a better time to pursue a career in data analytics. 

In the USF CTPE Data Analytics Bootcamp, created in partnership with Microsoft, you’ll learn the technical skills needed to be an analyst: fundamental business statistics, analytics and visualization tools, and advanced analysis techniques. You’ll also hone your strategic thinking, an area hiring managers tell us most job seekers lack, with about 50% of the curriculum focusing on this critical training. You’ll complete 20+ hands-on mini-projects and a capstone project, rounding out an impressive portfolio that can be shared with hiring managers. 

In this 100% online bootcamp, you’ll be deciding when and how you learn, but you won't ever be doing it alone. You’ll be supported by a student advisor and an industry mentor, who you’ll meet 1-on-1 with weekly. You’ll also have access to a career coach and optional career curriculum. 

Explore the Data Analytics Bootcamp curriculum, careers, and support below

Careers in data analytics

Data analytics skills can be applied to your existing role, or you can explore roles primarily focused on data analytics. These roles span across industries. 

  • Data analyst: $62,970 (Payscale)

  • Business intelligence analyst: $71,156 (Payscale)

  • Operations analyst: $59,310 (Payscale)

  • Healthcare consultant: $79,593 (Payscale)

  • Business systems analyst: $70,712 (Payscale)

  • Financial analyst: $62,904 (Payscale)

Data analytics bootcamp curriculum

In this bootcamp, half the curriculum is focused on fundamental business statistics concepts, analytics and visualization tools like Excel, SQL, Python, Microsoft Power BI, and Tableau, and advanced analysis techniques. The other half is focused on teaching strategic thinking, a critical need in today's workforce. These lessons were built with experts from McKinsey, Wharton, and Bain, and will teach you to break down complex problems, test and analyze them, and then present actionable business insights. Explore the curriculum in more detail:

Learning unit overview

The bootcamp itself is structured into 18 learning units which include: 

  1. Program Overview

  2. Structured Foundations

  3. Your Job Search Strategy

  4. Microsoft Excel for Business Analytics

  5. Financial Analysis

  6. Effective Networking: Building Your Network

  7. Economics for Data Analysis

  8. Statistics for Data Analysis

  9. Informational Interviews

  10. Visualization Tools

  11. The Art of Storytelling

  12. Find the Right Job Title & Companies

  13. Data Connectivity

  14. Preparing for and Getting Interviews

  15. Data Analysis in Python

  16. Capstone

  17. Effective Interviewing for Data Analysts

  18. Bootcamp Conclusion and Congrats!

Capstone project

In the capstone, you’ll work with your mentor to choose a data set from an industry that interests you. The goal of the capstone is to analyze the data and provide business recommendations to executives that can help shape the organization’s financial or strategic drivers. You’ll state your hypothesis, prove or disprove it, and package all of these insights into a presentation that you’ll deliver to your mentor. 

To create your capstone project, you’ll employ several skills you’ve learned in the bootcamp:

  • Creating hypotheses and drawing a data hierarchy map 

  • Extracting data from relational databases using SQL

  • Cleaning data using Python

  • Mastering presentation personas

This capstone project can be the foundation of your portfolio which you can show to hiring managers. 

Career learning units & coaching

Optional career units are offered at strategic points within the curriculum. 

You’ll also have access to a 1-on-1 career coach who can help you create a tailored job search strategy. With your coach, you can discuss topics like:

  • Jobs and job titles to target

  • Job search strategies that top candidates use

  • How to build your network and effectively use it to land interviews

  • Create a high-quality resume, LinkedIn profile, and cover letter

  • Interview coaching and practice, including mock interviews for both technical and non-technical topics

  • Negotiation success tips 

Preview three technical units

Structured Foundations

In this unit, you’ll learn to use the structured foundations approach to develop data-oriented solutions to business situations. Approaching problems in a data-driven, structured way is an invaluable skill no matter what industry or role you are in. In this unit, you’ll:

  • Develop an understanding of the HDEIP Framework and the Five-Step Problem Solving Approaches

  • Learn how to use SMART principles to create a problem statement worksheet

  • Become comfortable creating Mutually Exclusive Collectively Exhaustive (MECE) Issue Trees

  • Develop an understanding of Value Driver Trees

Visualization Tools

In this unit, you’ll develop the skills to use visualization tools like Tableau and Power BI. While analyzing data is important, the presentation and visualization of data influences if your analysis will be adopted or shelved. You’ll learn how to craft impactful stories through advanced visualization skills, and you’ll practice using functions that data analysts use daily. 

Data Connectivity

In this unit, you’ll learn how to use queries to understand data within databases. For example: if you are a data analyst reviewing underperforming malls, you would write a query to analyze daily foot traffic data stored in the malls’ databases. In this unit, you’ll:

  • Develop the ability to explain the nuances of a database and how it relates to set theory

  • Write best practice queries in SQL

  • Practice using SQL with real data to extract insights to be presented to an audience

Bootcamp student support

You’ll complete the data analytics bootcamp 100% online and on your own schedule, but you’ll be supported every step of your learning journey. You’ll have access to:

  • A student advisor: You'll be connected with them immediately after enrolling, and they’ll provide helpful tips to clear any roadblocks you encounter during the bootcamp. 

  • A 1-on-1 personal mentor: You’ll be matched with a mentor who is a data analytics expert. You’ll participate in weekly 1:1 calls to discuss and receive feedback on your projects. 

  • A career coach: The bootcamp features optional career units as well as coaching calls where you can work 1:1 with your coach to develop and refine your job search strategy. 

  • A Slack community: Engage and build relationships with other students in your cohort. 

University of South Florida

1-on-1 weekly mentorship with an industry expert

Mentorship is an invaluable component of the data analytics bootcamp. Only one of every 12 mentor applicants is hired. You’ll meet weekly with your mentor, but you can also get unlimited additional calls with other data analytics mentors in our community at no extra cost.

Meet some of our mentors: 

Chris Hui
Senior Data Scientist
Leslie Chen
Business Associate
Ryan George
Data Analyst
Venkatraman Prabhu
Sr. Product Manager

Data Analytics Bootcamp prerequisites

This bootcamp is designed to transform beginners in data analytics into technically advanced data analysts. Prerequisites for the bootcamp include:

  • English fluency (spoken and written), as determined by interactions with the admissions team 

  • Strong problem-solving and critical thinking skills

  • 2 years of professional work experience working regularly with office, design, or programming tools 

Tuition & scholarships

Access and affordability are important – which is why USF CTPE offers options when it comes to covering your Data Analytics Bootcamp tuition.

Upfront Discount: $8,500- A 14% discount

By paying upfront, save 14% off of the full bootcamp tuition of $9,900.

Month-to-month: $1,650/mo

Pay only for the months you need up to 6 months or $9,900.

Climb Credit Loan: $49-$132*/mo
  • Paid at the time of enrollment: $500

  • Monthly payments during course: $49-$132 (interest payments only).

  • Monthly payments after course: $300-$347 for 36 months.

For more details see the FAQ.

Please note: lending might not be available in all 50 states - click here for the current full lending list.

*range varies based on approved interest rate and only available for U.S. residents

Scholarships

To make a career in data analytics more accessible, USF CTPE offers the following scholarships:

  • $750 Veterans & Active Military Scholarship

  • $750 Women in Tech Scholarship

Confirm your eligibility by speaking with an admissions director. Only one scholarship may be applied and cannot be combined with other discounts. 

Data Analytics Bootcamp FAQs

Is a data analytics bootcamp worth it?

Bootcamps can be a great way to gain the skills you need in order to start a career in data analytics, especially if you want to keep tuition costs low and move into a new career within months rather than years. However, not all programs are created equal, so it’s important to do your research before enrolling. Some things to look for when choosing a data analytics bootcamp include an up-to-date curriculum, what student support will be available, and how the bootcamp will fit into your life.

The USF Data Analytics Bootcamp will have you job ready in as little as six months. It’s 100% online, so you don’t have to put your full-time job on hold. You’ll have the support of a whole team, including your industry mentor. When you graduate, you’ll have earned a credential from a leading university and you’ll have the portfolio to prove your skills. 

What is data analytics?

Data analytics is the process of examining large data sets to uncover hidden patterns, correlations, and trends. It's a powerful tool for understanding what is happening within your business, and it can help you make more informed decisions about where to allocate your resources.

Data analytics can be used to improve marketing campaigns, detect fraudulent activity, identify customer needs and preferences, and optimize operations. The possibilities are endless, and the benefits are clear.

Are data analysts in high demand?

Data analysts are in high demand, and it's only going to continue to grow in the coming years. Companies are collecting more and more data every day, and they need people who can help make sense of it all. The Bureau of Labor and Statistics (BLS) expects the field to grow at 25% between 2020 and 2030, significantly outpacing the national average of 8%. 

What does a data analyst do?

A data analyst gathers, cleans, and organizes data to identify trends and relationships. They then use this information to make informed business decisions.

Some of the most common tasks of a data analyst include: extracting data from various sources, cleaning and transforming data, identifying patterns and trends, developing models to forecast future trends, and presenting findings to stakeholders.

Data analysts must be able to work with large volumes of data, as well as with different types of data (including unstructured data). They must also be able to think critically and analytically to derive insights from complex datasets.

How long does it take to become a data analyst?

It can take months or years to build all of the skills needed to become a data analyst, but a program like the USF Data Analytics Bootcamp can help speed that process up. With curated curriculum and the support of your 1-on-1 expert data analytics mentor, you’ll learn these skills more quickly. 

If you have a background in programming or statistics, you'll be able to learn the necessary skills for data analysis more quickly. But even if you're starting from scratch, with some focused effort you can become proficient in data analysis.

What is the salary of a data analyst?

On average, data analysts earn an annual salary of $62,970 (Payscale). Salary can range depending on role, sector, years of experience, and location. 

What skills are needed to work in data analytics?

Foundationally, you need to develop the ability to collect, organize, and analyze data to work in data analytics. This involves having a basic understanding of statistics and being able to use software to extract insights from data.

You also need strong problem-solving skills. Data analytics is all about identifying patterns and trends in data and coming up with hypotheses about what they mean.

Verbal and written communication skills are important too, as you will often need to communicate your findings to others clearly and concisely. The adoption of your recommendations is reliant upon your communication skills. 

More questions about the program?

Speak to our admissions team by completing an application, email Nigel, our admissions assistant, or explore more frequently asked questions

University of South Florida

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