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Why are data analytics bootcamps worth it?

The demand for technology jobs, particularly in data analysis roles, is on the rise due to the strategic use of consumer behavior and research by major companies like Netflix, Amazon, and Apple to achieve their financial objectives. The sheer volume of data generated daily is staggering, estimated to reach 3.5 quintillion bytes in 2023. The significance of data analytics lies in its ability to gather, understand, interpret, and apply data to drive actionable results.

To seize the opportunities in this flourishing field, consider enrolling in the Data Analytics Bootcamp at Loyola University New Orleans. Developed in collaboration with Microsoft, our comprehensive curriculum is designed to equip you with the skills needed to excel as a business-focused data analyst in just six months. Across 18 structured modules, you will become proficient in data analytics fundamentals, and business concepts such as financial and economic analysis, critical thinking, and data visualization tools like Excel, SQL, Python, Tableau, Microsoft Power BI, and more.

What sets our bootcamp apart is the invaluable mentorship from industry experts, providing you with real-world insights that complement your technical expertise. Additionally, you will undertake a compelling capstone project to showcase your mastery of data analysis fundamentals, including the Five-Step Problem-Solving Approach, SMART principles, and advanced data visualization techniques – qualities highly sought after by hiring managers.

To maximize your chances of immediate employment, take advantage of the optional career units designed to facilitate your job search and transition into the workforce. Embrace the growing field of data analytics and propel your career forward with our cutting-edge bootcamp.

Data Analytics Careers

Data analytics is a very broad career with multiple specializations. It offers excellent pay, job availability, and flexibility to work remotely. Through the Loyola University New Orleans Data Analytics Bootcamp, you can prepare for the following data analytics positions and average salaries:

  1. Data Analyst: $75,124 (Indeed)

  2. Operations analyst: $67,905 (Indeed)

  3. Business systems analyst: $90,531 (Indeed)

  4. Business Analyst - $84,178 (Indeed)

Data Analytics Bootcamp Curriculum

Half of the program curriculum is dedicated to fundamental business statistics, analytics, and visualization tools like Excel, SQL, Python, Microsoft Power BI, and Tableau, along with advanced analysis techniques. The other half focuses on strategic thinking, a vital skill in today's workforce. Developed by experts from McKinsey, Wharton, and Bain, these lessons will teach you to dissect complex problems, conduct tests and analyses, and deliver actionable business insights. Explore the curriculum in 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

Enjoy the convenience of 100% online learning on your own schedule, with unwavering support throughout your journey. You'll have access to:

  • Student Advisor: Get connected immediately after enrolling, receiving valuable tips to overcome any obstacles during the bootcamp.

  • 1:1 Industry Mentor: Be paired with a data analytics expert for personalized video calls, providing feedback and guidance on your projects.

  • Career Coach: Take advantage of optional career units and 1:1 coaching calls to develop and refine your job search strategy.

  • Slack Community: Engage and connect with fellow students in your cohort, building lasting relationships.

online mentorship

1:1 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 regularly with your mentor, but you can also get unlimited additional calls with other data analytics mentors in our community at no extra cost.

Meet our mentors:

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

Data Analytics Bootcamp Prerequisites

Our bootcamp is tailored to elevate beginners into highly skilled data analysts. To be eligible for the program, you should meet the following prerequisites:

  1. Demonstrated fluency in spoken and written English, assessed through interactions with the enrollment team.

  2. Proficient problem-solving and critical thinking abilities.

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 Loyola 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 23% between 2021 and 2031, significantly outpacing the national average of 5%. 

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 Loyola 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 $75,124 (Indeed). 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 enrollment team by completing an application, email Carolina, our enrollment assistant, or explore more frequently asked questions

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