Online Data Analytics Bootcamp with LTU

Join Lawrence Technological University's Data Analytics Bootcamp developed with Microsoft to gain technical skills and jumpstart your data analytics career.

Format:

100% online

Learn on your own time

Duration:

6 months

10 hours/week

Apply by:

To be announced

About the Lawrence Tech Data Analytics Bootcamp

In today's data-driven world, businesses are generating vast amounts of information, yet much of it remains untapped. Savvy companies recognize the potential of skilled data analysts to transform this data into actionable insights, fueling growth and innovation.

The U.S. Bureau of Labor Statistics predicts a remarkable 23% (much faster than average) increase in data analysis jobs between 2023 and 2033. With a median salary of $82,360 and a clear path to even more lucrative roles like data scientist or data architect, there's never been a better time to enter this exciting field.

The Lawrence Tech Data Analytics Bootcamp, developed in partnership with industry leaders, provides you with the technical skills and strategic mindset essential for success. You'll master fundamental business statistics, cutting-edge analytics and visualization tools, and advanced analysis techniques.

Our curriculum prioritizes strategic thinking, a skillset highly valued by employers. You'll tackle 20+ hands-on mini-projects and a capstone project, building an impressive portfolio to showcase your abilities.

Enjoy the flexibility to learn at your own pace, with the support of a dedicated student advisor and an industry mentor. You'll also have access to career coaching and optional career curriculum to help you launch your data analytics journey.

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Careers in Data Analytics

Data analytics skills can be applied to your existing role, or you can explore roles primarily focused on data analytics. These roles span across industries.

  • Data analyst: $80,128

  • Business intelligence analyst: $77,568

  • Business systems analyst: $80,128

  • Operations analyst: $57,088

  • Financial analyst: $75,008

Annual Median Advertised Salary. Source: Lightcast; Jun 2023 - July 2024; 0-3 years minimum experience required. Michigan.

Data Analytics Bootcamp Curriculum

In this bootcamp, half the curriculum is focused on fundamental business statistics concepts, analytics and visualization tools like Excel, SQL, Python and Tableau, and advanced analysis techniques. The other half is focused on teaching strategic thinking, a critical need in today's workforce. These lessons were built with experts from McKinsey, Wharton, and Bain, and will teach you to break down complex problems, test and analyze them, and then present actionable business insights.

Explore the curriculum in more detail and preview several units below.

Learning unit overview

The bootcamp itself is structured into 18 learning units.

  • Program Overview

  • Structured Foundations

  • Your Job Search Strategy

  • Microsoft Excel for Business Analytics

  • Financial Analysis

  • Effective Networking: Building Your Network

  • Economics for Data Analysis

  • Statistics for Data Analysis

  • Informational Interviews

  • Visualization Tools

  • The Art of Storytelling

  • Find the Right Job Title & Companies

  • Data Connectivity

  • Preparing for and Getting Interviews

  • Data Analysis in Python

  • Capstone

  • Effective Interviewing for Data Analysts

  • Bootcamp Conclusion and Congrats!

Structured Foundations

The structured foundations approach is the foundation you’ll use to come up with a data-oriented solution to any business problem.

No matter what industry you’re in, if you're able to master the ability to frame problems in a structured, data-driven way, you’ll always come out on top.

  • 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

Visualization Tools are critical tools used in the Presentation Phase of the HDEIP Framework. While upfront analysis is very important work, ultimately, how this information is presented, visualized, and consumed determines whether your analysis will be adopted or shelved.

  • Develop an advanced ability to use Tableau

  • Practice using functions data analysts use on a daily basis

  • Use Power BI Tableau to craft powerful, impactful stories

Data Connectivity

While working through this section of the course, you’ll learn how to leverage Structured Query Language (SQL) to query relational database management systems. In other words, you use queries to understand the data contained in databases. Here’s one example. Let’s say you’re a data analyst assessing underperforming malls. You’d write a query to analyze daily foot traffic data stored in the malls’ databases.

  • 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

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. This capstone project can be the foundation of your portfolio which you can show to hiring managers. 

  • Creating hypotheses and drawing a data hierarchy map

  • Extracting data from relational databases using SQL

  • Cleaning data using Python

  • Mastering presentation personas

Career Learning Units

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 of the Course's Technical Units

Fit Learning into your Life, with Industry Experts in your Corner

Learn on your own time and study on your schedule. Stay on track with mentors and peers to keep you accountable.

  • Get dedicated 1:1 mentor support

    Meet regularly with your personal mentor to receive feedback on projects, discuss blockers, and refine your career strategy.

  • Build study plans that work for you

    Complete the course sooner by putting in more hours per week.

  • Plan ahead with 1:1 career coach calls

    Craft your design job search, practice interviews, and negotiate offers.

  • Connect with our community

    Get extra help from other mentors in our community, at no extra cost.

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.

Is this Data Analytics Bootcamp Right for You?

This bootcamp is designed to transform beginners into technically advanced data analysts.

Requirements for the bootcamp include:

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

  • Strong problem-solving and critical thinking skills

FAQ

More questions about the program?

Schedule a call with our Enrollment Team by applying now or email Carolina, our Enrollment Advisor, to aid in your decision.

Email Carolina

Request Syllabus