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Why Enroll in a Data Analytics Bootcamp?

The Bureau of Labor and Statistics (BLS) expects the demand for data analysts to grow 23% between 2021 and 2031, significantly outpacing the national average of 5%. With an average base salary of $65,112, 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. 

In the NIU CPE Data Analytics Bootcamp, created and delivered by Springboard, you’ll learn the technical skills needed to be an analyst: fundamental business statistics, analytics and visualization tools and advanced analysis techniques. Additionally, about 50% of the curriculum is focused on refining your strategic thinking. Hiring managers tell us most job seekers lack this critical skill.

You’ll also have access to a career coach and optional career curriculum. To explore the NIU CPE Data Analytics Bootcamp, created and delivered by Springboard, read more below.

Key Highlights of the Bootcamp

  • 100% online and flexible schedule, complete at your own time.

  • 250+ hours of industry-focused curriculum.

  • Get regular 1:1 guidance from an industry mentor.

  • Complete 20+ hands-on mini-projects and a capstone project.

  • Craft a standout portfolio for potential hiring managers.

  • Hands-on support from our coaches to help you prepare for job interviews. 

  • Certificate of participation upon completion.

Careers in Data Analytics

Proficiency in data analysis can be utilized within your current position, or you have the opportunity to venture into roles that are specifically centered around data analytics. These positions are present in various industries.

  • Data analyst: $65,112 (Payscale)

  • Business intelligence analyst: $72,106 (Payscale)

  • Operations analyst: $60,714 (Payscale)

  • Healthcare consultant: $82,468 (Payscale)

  • Business systems analyst: $71,882 (Payscale)

  • Financial analyst: $64,747 (Payscale)

Data Analytics Bootcamp Curriculum

About half of the curriculum places significant emphasis on fundamental business statistics concepts, analytics, and visualization tools such as Excel, SQL, Python, Microsoft Power BI, and Tableau, while also covering advanced analysis techniques. The remaining portion focuses on strategic thinking, which is an indispensable skill in the modern workforce. Learn to deconstruct intricate issues, analyze rigorously, and deliver actionable business insights through lessons co-developed with McKinsey, Wharton, and Bain experts. Explore the curriculum 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!

Capstone project

During the capstone, collaborate with your mentor to select a data set from an appealing industry. Your objective: analyze the data, offer strategic suggestions to executives, and influence financial or strategic aspects. Develop, test, and present your hypothesis, along with your findings, 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.

Shape your portfolio with this capstone project—a cornerstone you can present to potential employers.

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:

  • Targeted jobs and titles.

  • Winning job search tactics.

  • Mastering networking for interviews.

  • Crafting standout resume, LinkedIn, and cover letter.

  • Acing interviews, technical and non-technical.

  • Expert negotiation guidance.

Preview Three Technical Units

Structured Foundations

In this section, you'll master the structured foundations approach for data-driven business solutions. This skill is universally valuable across industries and roles. Here, you will:

  • Grasp the HDEIP Framework and Five-Step Problem Solving methods.

  • Utilize SMART principles for concise problem statements.

  • Create Mutually Exclusive Collectively Exhaustive (MECE) Issue Trees proficiently.

  • Gain insight into Value Driver Trees.

Visualization Tools

This unit equips you with Tableau and Power BI visualization skills. Beyond data analysis, how you present data impacts its adoption. Master advanced visualization for compelling storytelling, while practicing key daily functions used by data analysts.

Data Connectivity

This unit teaches querying database data.For example: if you were a data analyst tasked with evaluating underperforming malls, you would write a query to examine daily foot traffic data stored in the malls’ databases. In this unit, you’ll:

  • Grasp database nuances and its relation to set theory.

  • Master best-practice SQL queries.

  • Extract insights with real data for audience presentation.

Bootcamp Student Support

Throughout your learning journey, we will provide unwavering support. You'll gain access to:

  • Student advisors: Upon enrollment, you'll be connected with this team who will offer valuable tips and guidance to overcome any challenges you may face during the bootcamp.

  • A 1-on-1 personal mentor: You’ll be matched with a data analytics expert, your personal mentor. Through regular 1-on-1 calls, you can discuss your projects and receive valuable feedback and insights.

  • A career coach: Our bootcamp provides optional career units, along with coaching calls that enable you to collaborate individually with a career coach. Together, you'll craft and refine a tailored job search strategy.

  • A Slack community: Engage and foster relationships with your peers. Exchange knowledge and support.

Northern Illinois University

1-on-1 Regular Mentorship with an Industry Expert

Mentorship is a vital component of the data analytics bootcamp. One out of every dozen mentor applicants is hired. You’ll meet regularly with your mentor and other data analytics mentors in our community at no extra cost.

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

Data Analytics Bootcamp Prerequisites

This bootcamp is designed to elevate novices in data analytics into proficient and technically advanced data analysts. Prerequisites for the bootcamp include:

  • English fluency, both spoken and written, as assessed through interactions with our enrollment team.

  • Strong problem-solving and critical thinking 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. Nonetheless, it's crucial to recognize that not all programs hold the same level of quality. Therefore, conducting thorough research before you decide to enroll is of paramount importance. There are certain factors that warrant your attention while selecting a data analytics bootcamp. These encompass ensuring the curriculum is current, evaluating the extent of student support that will be accessible, and gauging how well the bootcamp's schedule aligns with your daily commitments.

The NIU CPE Data Analytics Bootcamp, created and delivered by Springboard, 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 be backed by a full team, including your industry mentor. Upon completion, you'll hold a credential from a top-tier university and a demonstrable portfolio of your skills.

What is data analytics?

Data analytics is the art of deciphering insights from information. It involves mining, interpreting, and transforming data into actionable knowledge, driving informed decisions and innovation.

Enhancing decision-making, data analytics empowers businesses to optimize operations, understand customer behavior, personalize marketing strategies, forecast trends, manage resources efficiently, and identify areas for growth.

Are data analysts in high demand?

Absolutely, the demand for data analysts is soaring. Businesses across industries are actively seeking these professionals to translate data into valuable insights, driving informed decisions and gaining a competitive edge.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?

As a data analyst, you wield the power of information. Your role involves collecting, cleaning, and organizing data, extracting meaningful patterns and trends. With these insights, you help businesses make smarter decisions, solve problems, and uncover opportunities for growth. Your expertise transforms raw data into a strategic asset, driving success and innovation.

How long does it take to become a data analyst?

The journey to becoming a proficient data analyst can vary. Generally, it takes several months to a couple of years of dedicated learning and practical experience. This period involves acquiring skills in data manipulation, analysis, visualization, and programming. Factors such as prior knowledge, the intensity of learning, and the resources you use will influence the timeline. Education programs, self-study avenues, and bootcamps like this one can help expedite the process.

The NIU CPE Data Analytics Bootcamp, created and delivered by Springboard, offers curated curriculum and the support of your 1-on-1 expert data analytics mentor. 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 $65,112 (Payscale). Salary can range depending on role, sector, years of experience and location. 

What skills are needed to work in data analytics?

To thrive in data analytics, a blend of technical and soft skills is essential. Proficiency in programming languages like Python or R, data manipulation and analysis using tools like SQL and Excel, statistical knowledge, and data visualization expertise are crucial. Additionally, critical thinking, problem-solving, attention to detail, and effective communication skills are vital to interpret and convey insights. An adaptable mindset and a curiosity to explore and learn from data are also integral to excel in this dynamic field.

More Questions About the Program?

Speak to our enrollment team by completing an application, email Carolina, our enrollment advisor or explore more frequently asked questions

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