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Why Pick a Data Analytics Bootcamp?

Every day, more data is being generated, whether that be a customer's Amazon shopping patterns, marketing ads that get the most clicks, or a social media post populated by countless views. But, unfortunately, much of this data goes to waste. Some estimate that over 80% of enterprise data is floating in cyberspace, unused. Because of this, companies are looking for data analysts who can sort and properly utilize this excess data and, in turn, help companies create more effective business strategies. 

Data analysts are in high demand. In the top 50 for best jobs in America in 2022, data analysts average a salary of $71,639 annually with bonuses, commission, and profit sharing. Moreover, job opportunities in the field continue to expand, offering a variety of roles across nearly every industry. The field is flexible, too, with plenty of room to advance to a higher position. The best part is because society continues to rely more and more on digital data, data scientists are more sought-after than ever. As a result, the field is blooming so quickly that the U.S. Bureau of Labor Statistics predicts 24,200 new job openings in operations research come 2031.

The Data Analytics Bootcamp with National University can equip you with the technical and analytical skills necessary for the field. With its extensive curriculum, students learn the fundamentals of the most popular analytics and visualization tools, such as Python, Excel, SQL, and Microsoft Power BI, and study business statistics and strategic thinking. With this bootcamp, you'll work through over 20 hands-on projects, polishing your portfolio with a capstone project geared toward your specific focus. Show future hiring managers your proficiency in the field with the real-world experience this bootcamp will give you.

With our fully online bootcamp, you'll be in charge of your own time, and you'll have support every step of the way. You'll receive your own student advisor and an industry mentor, who will meet with you 1-on-1 every week. In addition, you'll have access to our optional career coaches, who will help you plot out your professional goals.

View the bootcamp curriculum, career opportunities, and support team below.

Careers in Data Analytics

One of the benefits of working as a data analyst is that you can use the required technical skills in various industries. Depending on your interests and expertise, you can pursue work in the government sector, healthcare, marketing, and more. Here are some job roles you can expect to find in the field and the base pay for each.

  • Data analyst: $63,509 (Payscale)

  • Operations analyst: $59,727 (Payscale)

  • Financial analyst: $63,316 (Payscale

  • Business systems analyst: $71,032 (Payscale)

  • Business intelligence analyst: $71,532 (Payscale)

  • Healthcare consultant: $80,075 (Payscale)

Data Analytics Curriculum

Our Data Analytics Bootcamp is divided into two objectives. Half of the curriculum focuses on teaching you technical skills. This portion includes the fundamental analytics and visualization tools popular in the field, like Excel, Python, Microsoft Power BI, Tableau, and SQL. The remainder of the curriculum is geared toward honing those higher-level mental skills, like strategic and critical thinking. Both are needed to make the correct analytical decisions in the field. Our thorough curriculum was compiled by experts from Wharton, McKinsey, and Bain and designed to build out career-ready portfolios for students. Keep reading to examine 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 

Explore 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

Even though you'll finish the Data Analytics Bootcamp 100% online and on your own time, you'll still have access to our core support group. They'll guide you through the program and help you build connections to launch you into a successful career.

  • Student advisor: Your student advisor will hold you accountable throughout the program and share helpful tips.

  • 1:1 personal mentor: This industry expert will be your guide, available for weekly phone calls to discuss projects and provide feedback. Your mentor will also work closely with you on your capstone project.

  • Career coach: Optional career units include 1:1 coaching calls with a coach who will walk you through job-hunting. They're there to make sure you are on the proper steps toward the goals you've mapped out.

  • Slack community: Network with fellow students, share and receive feedback, and build lasting relationships with those in the field.

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Weekly 1-on-1 Mentorship Program From an Industry Expert

Having a mentor is crucial to developing lifelong skills. The requirements for becoming a Data Analytics Bootcamp mentor are strict, with only one out of every 12 applicants hired' these industry experts have experience in the field and no shortage of wisdom to impart.

  • Accountability: Your mentor will ensure you're staying on top of your goals, encouraging you to achieve your vision of a successful career.

  • 1:1 weekly calls: Video chat with your mentor to ask for help, get feedback on projects, and discuss future career expectations with someone experienced in the field.

  • Unlimited mentor calls: Talk to other experts in the community, free of charge, and pad your career journey with an excellent networking bubble.

Meet some of our mentors: 

Mohit Bhatia
Program Manager - Analytics
Hasin Ahmed
Head of Product Design
Julia Kho
Operations Research Developer
Shoumik Goswami
Lead Business Analyst

Is This Data Analytics Bootcamp a Good Fit for You?

The goal of our bootcamp is to turn beginners into confident professionals. This bootcamp is designed for those who show an aptitude for learning, with a strong foundation of critical and strategic thinking skills.


  • Two years of professional experience working with office, design, or programming tools

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

  • Strong critical thinking and problem-solving skills

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 Data Analytics Bootcamp with National University 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 Data Analytics Bootcamp with National University 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?

Complete the "Apply Now" form to schedule a call with our Admissions team, email Carolina, our Admissions Manager, who can help you think through the decision, or explore frequently asked questions.

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