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EPM 4610 (4 credits)

Analytics I

Data and analytics have become critical for all business domains; data in its raw form, from transactional systems, supply chains, websites, sensors, surveys, etc., is overwhelming. Raw data is turned into information and insight through reporting, analytics, visualization techniques, and predictive modeling. Environmental Analytics encompasses the process of collecting data, optimizing the data for reporting and analysis, interpreting results, identifying insights, and helping inform public and private enterprises, and the public about the progress and impact of their programs. There are a wide variety of tools and techniques available to effectively manage and understand data, turn data into information, visualize results, and predict outcomes over future time horizons. The focus of this course is to review the entire spectrum of data and analytics, and how it applies from an environmental and sustainability perspective. This course will provide a strategic view emphasizing how analytics can drive environmental impact. Students will engage with technologies and analytical techniques and will develop a solid understanding of the value of analytics. By the end, students will be well-equipped to understand and collaborate with the various roles across business functions engaged in analytics.

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Sections: Spring Quarter 2025

CRN 4509
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Spring Quarter 2025

CRN 5106
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Spring Quarter 2025

CRN 4961
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Autumn Quarter 2024

CRN 4509
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Autumn Quarter 2024

CRN 5106
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Autumn Quarter 2024

CRN 4961
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Spring Quarter 2024

CRN 4509
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Spring Quarter 2024

CRN 5106
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Sections: Spring Quarter 2024

CRN 4961
Credits
4
Dates/Time/Location
Format
Online Asynchronous
Instructor
Lutito, Michael J. (Mike)

Tuition Rate

Per Credit:


Additional Fees
Technology Fee: $4/credit hour for each class taken for credit

Questions?

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Please check Canvas one week before class begins for any pre-class assignments.