Course Syllabus

Summer 2025 | CIS-2420-VO01 - Data Visualization and Power BI

Online Class

Online courses take place 100% online via Canvas, without required in-person or Zoom meetings.

Faculty

Thomas Burl
View Faculty Credentials

Hiring Coordinator for this course: Deb Grant

General Education Requirements

VSCS Digital and Technical Literacy

Note

Many degree programs have specific general education recommendations. In order to avoid taking unnecessary classes, please consult with additional resources like your program evaluation, your academic program catalog year page, and your academic advisor.

Courses may only be used to meet one General Education Requirement.

Course Description

This course introduces students to the foundational skills required to use data visualization tools and the Power BI Desktop. Through applied projects, students gain insight into data trends and patterns for better decision-making. Students use Power Query editor and M language to pull data from numerous data sources, produce unified data sets for data analysis, merge and stack data together, and shape data from various sources to create different visualizations. This course builds skill in data analytics and the ability to make data-driven decisions. Prerequisite: Introduction to Computer Science

Essential Objectives

1. Describe the core concepts and components of the Power BI Desktop and its role in data analysis and decision-making.
2. Explain and demonstrate how to use Power BI tools and functions including data sources, data modeling, visualizations, and reports.
3. Demonstrate the skills required to collect and transform data using Power Query including, connecting to various data sources, importing data into Power BI, and using Power Query to clean, transform, and shape data for analysis.
4. Design effective data models in Power BI by establishing relationships between tables, creating calculated columns and measures, and optimizing data for analysis.
5. Develop interactive visualizations that support data driven decisions.
6. Design comprehensive reports and dashboards.
7. Perform advanced data analysis techniques in Power BI, including using DAX formulas, incorporating time intelligence, and implementing advanced filtering and slicing.
8. Explore the scope and diversity of career opportunities in the field of data analytics and visualization through assignments such as informational interviews, job shadows, or other career-exploration activities.

Required Technology

More information on general computer and internet recommendations is available on the CCV IT Support page. https://support.ccv.edu/general/computer-recommendations/

Please see CCV's Digital Equity Statement (pg. 45) to learn more about CCV's commitment to supporting all students access the technology they need to successfully finish their courses.

Required Textbooks and Resources

Textbook Information will be posted here on December 6.

Grading Criteria

CCV Letter Grades as outlined in the Evaluation System Policy are assigned according to the following chart:

	High	Low
A+	100	98
A	Less than 98	93
A-	Less than 93	90
B+	Less than 90	88
B	Less than 88	83
B-	Less than 83	80
C+	Less than 80	78
C	Less than 78	73
C-	Less than 73	70
D+	Less than 70	68
D	Less than 68	63
D-	Less than 63	60
F	Less than 60
P	100	60
NP	Less than 60	0

Attendance Policy

Regular attendance and participation in classes are essential for success in and are completion requirements for courses at CCV. A student's failure to meet attendance requirements as specified in course descriptions will normally result in a non-satisfactory grade.

• In general, missing more than 20% of a course due to absences, lateness or early departures may jeopardize a student's ability to earn a satisfactory final grade.
• Attending an on-ground or synchronous course means a student appeared in the live classroom for at least a meaningful portion of a given class meeting. Attending an online course means a student posted a discussion forum response, completed a quiz or attempted some other academically required activity. Simply viewing a course item or module does not count as attendance.
• Meeting the minimum attendance requirement for a course does not mean a student has satisfied the academic requirements for participation, which require students to go above and beyond simply attending a portion of the class. Faculty members will individually determine what constitutes participation in each course they teach and explain in their course descriptions how participation factors into a student's final grade.

Accessibility Services for Students with Disabilities:

1. Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/discover-resources/students-with-disabilities/
2. Request an appointment to meet with accessibility coordinator to discuss your request and create an accommodation plan.
3. Once created, students will share the accommodation plan with faculty. Please note, faculty cannot make disability accommodations outside of this process.

Academic Integrity