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Course Conclusion
Data on the Jobsite -- Data in Construction Series (Part 4)
Use data to drive transparency on your project health. Learn to leverage construction data for improved safety, efficiency, and project management skills.
1 hour
1,251 students
Last reviewed 9/2024
Multimedia Content
Course Description
This course is part 4 of the 5 part Data in Construction Series. This course builds upon knowledge gained in Part 3: Machine Learning & Artificial Intelligence
This course explores the role data plays in modern construction projects, focusing on its utilization both on jobsites and in the office. It’s designed for construction professionals looking to improve their understanding of how data can enhance project management, safety, and jobsite efficiency. Learn how data-driven tools and techniques can optimize workflows and decision-making processes. This course demonstrates how leveraging data can help manage the increasing complexity and demands of construction jobs.
Throughout the course, you will discover various applications of data, such as improving jobsite safety through Building Information Modeling (BIM) and daily reports. The modules emphasize the importance of collecting quality data to make informed decisions, streamline operations, and reduce risks. You will gain practical knowledge on using digital tools and software for better collaboration and project management, enhancing their ability to handle larger and more complex projects.
You’ll hear from industry experts that bring real-world insight into how the construction industry is evolving with data-driven practices. By the end of this course, you’ll have a concrete understanding of how to implement data strategies and tools to make your jobsites safer and more efficient, leading to more success on your projects.
Learning Objectives
Discuss data-driven decision-making techniques in construction projects.
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Review how construction management softwares enhance safety and efficiency on jobsites.
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Learn about interpreting data from daily reports and BIM.
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Explore data collection and process improvement in construction management.
Prerequisites
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Learning Level: Introductory
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Prerequisite Knowledge: Completion of Part 3: Machine Learning & Artificial Intelligence
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Recommended Knowledge: A foundational knowledge of data collection and analysis methods in construction projects
Continuing Education Course Credits
Course Title: Data in Construction (Part 4): Data on the Jobsite
Course Number: PC-391-102824
Session Number: 1
Curriculum Group Name: AIA Providers
Credit: 1 AIA LU
Course Expiration Date: 10/30/2027
Procore's Continuing Education courses may qualify for continuing education credits with other professional organizations or fulfill state licensing requirements. If you are a member of a different organization, you can download your course completion certificate from your learning profile and report your completion yourself to the organization for potential credit. Please refer to the organization's continuing education requirements for course eligibility information.
AIA CES Provider statement
Procore Technologies is a registered provider of AIA-approved continuing education under Provider Number 40108059. All registered AIA CES Providers must comply with the AIA Standards for Continuing Education Programs. Any questions or concerns about this provider or this learning program may be sent to AIA CES (cessupport@aia.org or (800) AIA 3837, Option 3).
This learning program is registered with AIA CES for continuing professional education. As such, it does not include content that may be deemed or construed to be an approval or endorsement by the AIA of any material of construction or any method or manner of handling, using, distributing, or dealing in any material or product. AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.
AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.
Frequently Asked Questions
Do I need any prior experience with construction management software to take this course?
While prior experience with digital tools used on jobsites is beneficial, the course is structured to accommodate learners at the introductory level, providing an overview of data collection and analysis tools in construction management.
Does the course include any case studies or real-world examples?
Yes, the course features case studies like the example of Harkins Builders, which demonstrate how data-driven approaches have been successfully implemented in real construction projects.
What's Next
Continue your learning journey
This course is part of the “Data in Construction” Learning Path. Explore and Complete the additional Courses in this learning path below to complete your journey.
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Data in Construction (Part 1): Introduction to Data
View Course PageDiscover how data can transform your construction projects. Gain foundational skills to optimize workflows and make informed decisions on jobsites.
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Data in Construction (Part 2): Collecting and Analyzing Data
View Course PageUnlock the power of data in construction. Learn to effectively collect and analyze data to make informed decisions on jobsites.
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Data in Construction (Part 3): Machine Learning & Artificial Intelligence
View Course PageExplore AI & machine learning's impact on construction. Learn how data unlocks new capabilities on the jobsite & transforms industry practices.
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You are here!
Data in Construction (Part 4): Data on the Jobsite
Use data to drive transparency on your project health. Learn to leverage construction data for improved safety, efficiency, and project management skills.
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Data in Construction (Part 5): Data into the Future
View Course PageDiscover cutting-edge construction tech in construction. Explore emerging construction technologies like AI, drones and LiDar in this course.
Other Recommended Courses
You've Got Data: Proactive Data ManagementMindset 4.0: Think AutomatedInnovative Builder Series: Implementing TechnologyRelated Resources
Instructors
Hugh Seaton
Hugh Seaton is a recognized thought leader and innovative entrepreneur in the construction and technology sectors. He is the CEO of The Link, which focuses on converting construction specifications from text to structured data, enhancing field and project team efficiency. Hugh hosts the Constructed Futures podcast, where he dives into innovations - from AI to scheduling - with industry leaders from Architecture and Construction firms. Formerly the general manager at the Construction Specifications Institute-Crosswalk, he launched key AI-driven tools. Hugh's extensive experience in product management, combined with his passion for technology, makes him a trusted authority in data-driven construction strategies. His commitment to advancing technology in construction is evident in his volunteer work with the Society for Construction Solutions in Austin, where he empowers professionals through education and innovation.
Procore Construction Education Team
Procore’s Construction Education team is composed of former industry professionals who have held roles such as Estimator, Project Manager, and Owner’s Representative. They are dedicated to showing you "how construction works" through practical and engaging education. With a wealth of real-world experience and a deep passion for adult education, they are committed to being your trusted partner in construction learning. Our team is passionate about supporting you every step of the way on your construction learning journey.