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Collecting and Analyzing Data -- Data in Construction (Part 2)
Unlock the power of data in construction. Learn to effectively collect and analyze data to make informed decisions on jobsites.
1 hour
1,585 students
Last reviewed 9/2024
Multimedia Content
Course Description
This course is part 2 of the 5 part Data in Construction Series. This course builds upon knowledge gained in Part 1: Introduction to Data
Are you a construction professional eager to enhance your data analysis skills? This course is designed for project managers and site managers who want to transform how they use data on their projects. You'll learn how to collect and analyze data effectively to improve decision-making on the jobsite. The course offers insights into heuristics, biases, and the importance of going beyond gut feelings to make informed decisions based on solid data evidence.
Throughout the course modules, you'll explore key concepts such as sampling accuracy, correlation, and regression. You'll learn how heuristics and biases that affect decision-making, and how to identify and mitigate their impact on project outcomes. The course will also cover methods for collecting and analyzing data efficiently on jobsites. The course covers how to ask the right questions and apply various levels of abstraction to understand trends and project health.
By the end of the course, you'll possess a solid framework for data interpretation, enabling you to identify and overcome biases, thereby enhancing productivity and efficiency in your projects. You'll gain a deeper understanding of data, enabling you to make calculated decisions that positively impact your projects and teams. Learn to leverage data as a powerful tool, turning raw information into actionable insights and elevating your construction expertise to new heights.
Learning Objectives
Recognize and differentiate between heuristics and biases in decision-making processes.
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Learn to collect and analyze data accurately on construction projects.
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Discuss sampling accuracy and standard deviation in data analysis
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Learn about various levels of abstraction to interpret and present data
Prerequisites
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Learning Level: Introductory
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Prerequisite Knowledge: Completion of Part 1: Introduction to Data
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Recommended Knowledge: A basic understanding of data collection and analysis processes is recommended.
Continuing Education Course Credits
Course Title: Data in Construction (Part 2): Collecting and Analyzing Data
Course Number: PC-389-102824
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
What is the main focus of this course?
The course focuses on data collection and analysis in the construction industry, teaching you how to utilize data effectively to make informed decisions and improve jobsite performance.
Does this course discuss decision making biases?
Yes. The course explores common biases such as recency and availability biases, which can skew judgment and decision-making on jobsites. You'll learn how they affect perceptions and decisions. The course provides practical strategies to counteract these biases, so decisions are grounded in accurate data rather than gut feelings.
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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You are here!
Data in Construction (Part 2): Collecting and Analyzing Data
Unlock 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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Data in Construction (Part 4): Data on the Jobsite
View Course PageUse 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
Procore Safety QualifiedYou'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.