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Parking lot attendant education requirements

Updated January 8, 2025
2 min read
Usually, parking lot attendants don't need a college education. The most common degree for parking lot attendants is high school diploma with 46% graduates, with only 23% parking lot attendant graduates earning bachelor's degree. Parking lot attendants who decided to graduate from college often finish DeVry University or Miami Dade College. Some good skills to have in this position include patrol, hand signals and vehicle damage.

What education do you need to become a parking lot attendant?

What degree do you need to be a parking lot attendant?

The most common degree for parking lot attendants is high school diploma, with 46% of parking lot attendants earning that degree. The second and third most common degree levels are bachelor's degree degree at 23% and bachelor's degree degree at 16%.
  • High School Diploma, 46%
  • Bachelor's, 23%
  • Associate, 16%
  • Diploma, 9%
  • Other Degrees, 6%

What should I major in to become a parking lot attendant?

You should major in business to become a parking lot attendant. 20% of parking lot attendants major in business. Other common majors for a parking lot attendant include criminal justice and general studies.

Best majors for parking lot attendants

RankMajorPercentages
1Business19.9%
2Criminal Justice13.4%
3General Studies11.9%
4Liberal Arts6.4%
5Communication5.9%

20 best online courses for parking lot attendants

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1. Motion Planning for Self-Driving Cars

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Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal,...

2. Identify Damaged Car Parts with Vertex AutoML Vision

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This is a self-paced lab that takes place in the Google Cloud console. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. AutoML Vision helps anyone with limited Machine Learning (ML) expertise train high quality image...

3. Autonomous Cars: Deep Learning and Computer Vision in Python

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Learn Open CV, Keras, object and lane detection, and traffic sign classification for self-driving cars...

4. Autonomous Robots: Model Predictive Control

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Learn to make a Self-Driving or Autonomous Car follow the speed limit, pull into parking spaces, and avoid obstacles!...

5. Introduction to Self-Driving Cars

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Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. By the end of this course, you will be able to: - Understand commonly used hardware used for self-driving cars - Identify the main components of the self-driving software stack - Program vehicle modelling and control - Analyze the safety frameworks and...

6. Self-Driving Cars

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Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\n\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source...

7. How to Flip Cars Like a Pro - Learn Car Flipping

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Learn how to add years of reliable life and service to your car...

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10. Facebook Marketing: Drive Highly Targeted Facebook Traffic

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The One Thing That Everybody Wants is Traffic. You Simply Cannot Have Enough Traffic!...

11. The Complete Self-Driving Car Course - Applied Deep Learning

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Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python...

12. Dirty Internet Marketing- Free Viral Website Traffic. No SEO

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Nifty Internet/Online/Digital Marketing Methods To Get Free Viral Traffic To Your Website/Blog. No SEO skills needed...

13. How to Establish a Business Tinting Car Windows from Home

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Start Your Business Tinting Car Windows From Home With This Comprehensive Training. Simple Techniques, Easily Mastered...

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Learn how to become an Imagineer!...

15. Complete Meta Traffic Ads (Meta CPC) Course + ChatGPT Guide

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Push People to your Website with Meta Traffic Ads (Meta Link Clicks). Learn Meta CPC Ads [Cost Per Click]. Use Chat GPT...

16. MikroTik Traffic Control with LABS

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Learn advanced Mikro Tik Firewall, QOS HTB, Packet flow, DHCP and DNS topics & be ready for the Mikro Tik MTCTCE exam...

17. Applied Control Systems 1: autonomous cars: Math + PID + MPC

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Modeling + state space systems + PID + Model Predictive Control + Python simulation: lateral control for autonomous cars...

18. Facebook Marketing: Next Level Traffic Generation Strategies

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Deploy these proven & tested Facebook advertising hacks and drive thousands of visitors to your website every day!...

19. Storage Area Network with Openfiler Linux

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Build storage area network accessed by different clients Linux windows vmware esxi redhat centos ubuntu...

20. AngularJS Custom Directives with Dan Wahlin

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Take your Angular JS skills to the next level and learn the inner workings of Angular JS and custom directives!...

Average parking lot attendant salary by education level

Parking lot attendant education levelParking lot attendant salary
High School Diploma or Less$30,547

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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