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!

At this point in the bootcamp, you’ve learned the skills needed to become a business-oriented data analyst. 

• You’ll have mastered how to effectively structure your hypotheses and how to draw a data hierarchy map to connect exclusively to the data sources you need. 

• Additionally, you’ll have the ability to extract data from a relational database using SQL and clean the data using Python. 

• Lastly, you’ll have mastered the different presentation personas and will be able to present your analysis either via PowerPoint or Tableau to create a compelling narrative! 

As your final submission, you’ll employ all of these skills to create a capstone project.

You’ll work with your mentor to choose a data set to focus on for this final project. Each of the datasets provided reflect a different industry. If none of the datasets match your interests, you’ll be able to have a discussion with your mentor about using an alternative data set that you find on your own. The premise of this project will again focus on providing recommendations to executives that will showcase your business analysis skills and help to shape the organization’s strategic or financial drivers.

Optional career units are offered throughout the curriculum, so you’re building a job search strategy far before the end of the bootcamp. Receive guidance on building your resume and cover letter, networking, interviewing, and salary negotiation.

Data analytics is the process of examining data sets in order to draw conclusions about the information they contain. Typically, data analytics is used to find patterns and trends, and to make predictions about future events. Data analytics can be applied to any type of data, including financial data, customer data, sales data, and web traffic data. There are a variety of methods that can be used for data analytics, including statistical analysis, machine learning, and rigorous modeling. The goal of data analytics is to extract valuable insights from data that can be used to improve decision-making. When used effectively, data analytics can help businesses to optimize their operations, reduce costs, and increase profits.

Yes, Data Analytics is a promising career in the Washington metropolitan area, which includes Washington, D.C., Maryland, and Virginia. This region has a thriving job market for data analysts, as it hosts numerous government agencies, private companies, and non-profit organizations that require data-driven decision-making. Additionally, the Washington metropolitan area has a high concentration of industries such as healthcare, finance, and technology, which rely heavily on data analytics for strategic planning and operational efficiency. Data analysts in the region can expect competitive salaries, opportunities for professional growth, and exposure to diverse projects. As a data analyst in the Washington metropolitan area, you'll have the opportunity to contribute to the growth of various sectors while building a rewarding career.

A data analyst is responsible for collected data and using it to generate insights that can improve business operations. This involves using statistical methods to identify trends and relationships between different factors.

Data analysts also develop visualizations, such as charts and graphs, to help communicate their findings. In addition, they may develop algorithms to automate certain tasks, such as identifying outliers in data sets.

Data analysts typically work with teams of other professionals, such as engineers and marketing experts, to ensure that the data they collect is used effectively. With the ever-growing importance of big data, the role of data analyst is becoming increasingly vital in a wide range of industries.

Data analysts are inquisitive, creative thinkers with logical and rational thinking processes. They combine curiosity and inventiveness with logical and rational thought patterns. 

They must also be able to read and interpret statistical data, understand linear algebra and calculus, data visualization, and have a working knowledge of programming languages like Python as well as databases such as SQL. 

Finally, data analysts must be excellent communicators in order to communicate their key findings in compelling presentations.

This bootcamp can prepare you for a variety of data analyst roles including:

• Data analyst

• Operations analyst

• Business intelligence analyst

• Healthcare consultant

• Financial analyst

• Business systems analyst

Data analysts can progress into roles including: 

• Business intelligence analyst

• Intelligence analyst

• Competitive intelligence analyst

• Market intelligence consultant

• Strategist

• Strategic business and technology intelligence consultant

It can take anywhere from 6 months to a few years to become a data analyst, depending heavily on your path to acquire data analytics skills. Our bootcamp combines theory with hands-on practice and projects, prepping to make you job-ready upon graduation in six months, on average.

Data analysts earn an average of $68,316 annually, according to Indeed. Data analyst salary can vary based on level of experience, geographic location, and a number of other factors. 

Data analysts play a vital role in helping organizations to understand their data and make better decisions. As a result, there is high demand for data analysts with the skills and knowledge to turn data into insights. 

The U.S. Bureau of Labor and Statistics estimates that operations research analysts, which include data analysts, can expect a 25% growth rate in employment from 2020 to 2030, much faster than the average growth rate of 8% for all occupations. 

A data analytics bootcamp is worth it, especially if you want to avoid costly tuition and move into the field within months rather than years. In the Data Analytics Bootcamp at University of Maryland Global Campus, you’ll learn the technical skills you need within six months. While studying 100% online, you’ll have the support of a whole student support team behind you. Upon graduation, you’ll have a portfolio that proves your expertise and a credential from a leading university. 

Yes, UMGC has partnered with Springboard to offer online tech bootcamps. Springboard developed the curriculum in partnership with industry experts and hiring managers, and administers and leads the courses. This partnership allows students like you to build technical skills while earning a certificate of completion from UMGC.