NORTH CENTRAL TEXAS COLLEGE
COURSE SYLLABUS
Course title: Intro to Data Analysis and Visualization
Course prefix, number, and section number: DATN 1070 0380
Semester/Year of course: Fall/2025
Semester start and end dates: 8/25/2025 - 10/18/2025
Modality (Face to face/Synchronous or Asynchronous online/Hybrid): Asynchronous Online
Class meeting location, days, and times: Online
Lab meeting location, days, and times: Online
Semester credit hours: 3
Course description: Course description: Introduction to basic concepts of analyzing data and reporting on and presenting outcomes. Topics include research questions, data collection, data analysis, documentation, and reporting. Topics may adapt to changes in industry practices.
Course prerequisites: None
Required course materials:
uCertify: Foundation of Data
Analytics: FDN-DA.AE1
ISBN: 978-1-64459-277-9
Name of instructor: Jennifer Warmbrodt
Office location: Online
E-mail address: jwarmbrodt@nctc.edu
Office hours for students: There are no instructor office hours scheduled for this course. All communication will take place through the Canvas. Emails will be answered within 24 hours after receipt.
SYLLABUS CHANGE DISCLAIMER
The faculty member reserves the right to make changes to this published syllabus if it is in the best interest of the educational development of this class. Any such changes will be announced as soon as possible in person and/or writing.
SUMMARY OF COURSE ASSIGNMENTS
List of graded assignments:
7 Sections – Section Lab, Quiz, & Discussions per section – 70%
1 Final Project – 30%
Final grade scale:
1621-1800 points A 1441-1620 points B 1261-1440 points C 1081- 1260 points D 0- 1080 points F
I will round grades to the next whole number.
Late work policy:
I will accept late work in this course.
There is no extra credit available. Your grade will be based on the above graded elements listed. There are no makeup assignments. If you miss an exam for a documented approved medical reason, you will be allowed to take the exam.
SEE CANVAS FOR THE COMPLETE COURSE CALENDAR, OUTLINE, DETAILED DESCRIPTION OF GRADED WORK, AND OTHER RELATED MATERIAL.
COURSE POLICIES
Academic Integrity Policy:
Scholastic dishonesty shall include, but is not limited to cheating, plagiarism, academic falsification, intellectual property dishonesty, academic dishonesty facilitation and collusion. Consequences for academic dishonesty may include:
1) The student will receive a failing grade of "O" on the assignment. If the assignment is within a group in which the lowest assignment is dropped, the assignment will not be able to count as a dropped score. It will count as part of the grade.
2) A "Scholastic Dishonesty Report Form" will be submitted regarding the incident
3) Student may be dropped from the course with a failing grade (letter grade of “F”)
Attendance Policy:
This is a 100% online course. Attendance will be determined by number of logins into Canvas and due date assignment completions.
Withdrawal Policy
A student may withdraw from a course on or after the official date of record. It is the student’s responsibility to initiate and complete a Withdrawal Request Form.
Last day to withdraw from the course with a “W” is September 29, 2025
Student Learning Outcomes: At the successful completion of this course the student will be able to:
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Upon completion, students will be able to:
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Identify and locate appropriate databased on a defined research question
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Develop a basic method for analyzing data
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Design informative reports to support decision-making
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Organize the process of data collection, analysis, and outcomes
Core Objectives:
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Critical Thinking
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Communication
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Empirical and Quantitative
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Teamwork
COLLEGE POLICIES
STUDENT HANDBOOK
Students are expected to follow all rules and regulations found in the Student Handbook.
ADA STATEMENT
NCTC will adhere to all applicable federal, state and local laws, regulations and guidelines with respect to providing reasonable accommodations to afford equal educational opportunity. It is the student’s responsibility to contact the Office for Students with Disabilities to arrange appropriate accommodations. See the OSD Syllabus Addendum.
AI STATEMENT
Absent a clear statement from a course instructor, use of or consultation with generative Artificial Intelligence (AI) or other similar technologies shall be treated analogously to assistance from another person, agency, or entity. In particular, using generative AI tools to substantially complete an assignment or exam is not permitted. Students should acknowledge the use of generative AI (other than incidental use) and default to disclosing such assistance when in doubt.
When students use generative AI to replace the rigorous demands of personal engagement with their coursework, it runs counter to the educational mission of the college and undermines the heart of education itself. Artificial Intelligence, large language models, and other such technologies hold promise for deploying knowledge in service to others and accelerating the discovery of new knowledge. However, such technology poses new challenges to pedagogy and to integrity. Within the context of the teaching mission of the college and consistent with the Student Code of Conduct, the authority to define the appropriate use, study, and deployment of these technologies rests with the faculty.
Individual course instructors, in coordination with their divisions, set policies regulating the use of generative AI tools in their courses, including allowing or disallowing some or all uses of such tools. Course instructors will set such policies in their course syllabi and clearly communicate such policies to students. Students who are unsure of policies regarding generative AI tools are encouraged to ask their instructors for clarification.
STUDENT SERVICES
NCTC provides a multitude of services and resources to support students. See the Student Services Syllabus Addendum for a listing of those departments and links to their sites.
Pregnant and Parenting Students: Any student who, because of their pregnancy or parenting status, may require special accommodations to meet course requirements should contact the Student Parent Liaison (studentparents@nctc.edu). Students may also self-report by visiting www.nctc.edu/cares and submitting a report for Pregnant & Parenting Students.
QUESTIONS, CONCERNS, or COMPLAINTS
The student should contact the instructor to deal with any questions, concerns, or complaints specific to the class. If the student and faculty are not able to resolve the issue, the student may contact the chair or coordinator of the division. If the student remains unsatisfied, the student may proceed to contact the instructional dean.
Name of Chair/Coordinator: Rebekah Sanchez
Office location: IT Career Connection Center, Room 102
Telephone number: 940-498-6480
E-mail address: rsanchez@nctc.edu
Name of Instructional Dean: Debbie Huffman, Dean of Career and Technical Education
Office location: CTC 2106
Telephone number: 940-668-3357
E-mail address: dhuffman@nctc.edu