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Why enroll in UMass Global’s Data Analytics Bootcamp?

Take your first step towards joining the field of data analytics by enrolling in our comprehensive, online Data Analytics Bootcamp. The field of data analytics is growing quickly and is only going to continue to grow as the world becomes increasingly reliant on digital enterprises. Despite this growth, according to Forrester an average of 60%-73% of data generated by an enterprise is not utilized.

To utilize their data fully, more and more businesses are turning to data analysts. A data analyst is trained to employ a wide range of technical skills to pull data, translate it into relevant information, and ultimately use it to communicate actionable insights for a business to follow. This could be something as complex as helping to develop a business plan or as “simple” as building recommendations for a streaming program’s watch list.

The University of Massachusetts Global Data Analytics Bootcamp is engineered to provide students with a definitive, industry-focused curriculum. We’re proud to help enrolled individuals gain all the technical and analytical skills they need to excel in the industry. We will help you learn how to build better businesses by adopting a professional, analytical mindset.

Throughout the bootcamp, you’ll learn how to use important tools such as Python, Excel, SQL, and more—all while completing multiple, hands-on projects designed to build your knowledge base. To top it off, students will work on a capstone project that will serve as a centerpiece for their portfolio. This project brings together all of your skills for a solid showcase that prospective employers will love.

Finally, you’ll also get to enjoy 1:1 weekly support from a mentor that is an expert in the field of data analytics, insight from a knowledgeable student advisor, and full access to 1:1 career coaching and units that will help you on the job hunt. Below, we’ll highlight some aspects of the coursework in the bootcamp, as well as some of the career prospects you might come across.

Careers in data analytics

There are many potential careers in data analytics across multiple industries, including the following:

  • Data analyst: $63,442 (Payscale)

  • Business intelligence analyst: $71,493 (Payscale)

  • Operations analyst: $59,611 (Payscale)

  • Healthcare consultant: $80,136 (Payscale)

  • Business systems analyst: $71,070 (Payscale)

  • Financial analyst: $63,313 (Payscale)

Data analytics curriculum

Throughout this bootcamp, you will gain a fundamental understanding of statistical concepts, analytics, and visualization tools that are industry standards, such as Excel and Tableau. You’ll also learn advanced analysis techniques while building an understanding of strategic and critical thinking soft skills that are increasingly important in the industry. With our help, you’ll be fully equipped to break down complex problems, analyze them, and then provide actionable insights. You can discover further curriculum details below:

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!

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 of units and capstone projects

Structured Foundations

The structured foundations' approach teaches individuals to determine data-oriented solutions to a range of problems. Regardless of industry, this approach allows the user to frame problems in a straightforward, structured, data-driven manner. When learning structured foundations, you’ll develop the following skills:

  • A full understanding of the HDEIP Framework and the Five-Step Problem Solving Approach

  • How to use SMART principles to create a problem statement worksheet

  • The ability to craft Mutually Exclusive Collectively Exhaustive (MECE) Issue Trees

  • Understanding of Value Driver Trees

Visualization Tools

Throughout the bootcamp, you’ll learn how to employ visualization tools, such as Power BI. These tools are designed to help you present your analytical findings in such a way that they are clear and concise for stakeholders. Throughout this unit, you will learn the best ways to use Power BI and Tableau to build informative, info-filled documentation that you can readily present.

Data Connectivity

During this unit, students will learn how to employ Structured Query Language, or SQL, to query database management systems. Through this process, you can understand the data contained within those databases, allowing you to assess any materials pulled. As an example, you may be tasked with assessing an underperforming app. You can write a query to analyze user traffic in the app, identifying what they are using it for. In the course of this unit, you will develop the ability to explain many elements of databases and how they relate, write best practices for SQL queries, and practice using SQL with actual databases.

Capstone projects

When it’s time to develop a capstone project, you will have learned all the skills you need to join the industry. These skills include:

  • Mastery of how to structure a hypothesis and how to draw a data hierarchy map to information that you need.

  • The ability to extract data from a variety of databases using SQL and clean data using Python.

  • Mastering presentation personas so you can properly show your findings to stakeholders.

The capstone project will serve as a final submission for the bootcamp, while also becoming a perfect piece for your portfolio. You’ll work directly with your mentor to choose a data set that meets your professional goals, ultimately focusing on your interests so you’re better able to pursue them in the industry. Ultimately, this capstone project will result in something that showcases your analytical skills in a way that’s actionable for a business, such as highlighting financial or strategic benefits. 

Student support

Our Data Analytics Bootcamp is 100% online. This means that you can complete coursework on your own schedule, in the comfort of your own home. However, you won’t be alone in your educational journey. As you make your way through the course, you’ll be guided by many helpful individuals that are devoted to your success. This includes:

  • A personal mentor: You will have full access to a mentor that offers 1:1 weekly calls that will help you receive feedback on your work and projects.

  • A student advisor: Our student advisors help you maintain accountability, including providing practical tips that will help you avoid roadblocks along the way.

  • A career coach: Our optional career units, which include informational coaching calls, help you develop your goals for the job hunt, including interview skills and resume building.

  • A student community: Speak with fellow students to build a community that provides helpful feedback.

UMass Global

Meet your mentors

At UMass Global, we ensure that you have full access to skilled mentorship throughout our Data Analytics Bootcamp. You’ll meet weekly with your mentor, but we also allow our students unlimited access to additional calls with mentors in our community. This service is provided at no additional cost, as we believe that you should always be able to get the help you need to succeed.

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

Is this program right for you?

By now, you may be asking, “Is a data analytics bootcamp worth it?” Our bootcamp is designed for people who are natural, critical thinkers and enjoy solving problems. If that sounds like you, it is almost certainly worth considering enrolling in our bootcamp. If you have the drive to earn the work experience you need to start down this new career path, it is likely perfect for you.

The program has the following prerequisites:

  • Capable critical thinking skills.

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

  • Fluency in English, as determined by our Admissions team.

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 UMass Global 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 UMass Global 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 Carolina from our admissions team, or explore more frequently asked questions.

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