Data Literacy Training

I. Data Mastery (Video | PDF)

• Definitions: Know what you are looking at
• Sensitivity to Sample Size: Small samples may require aggregation, be wary of percentages without knowing the sample size
• Focus on Long-Term Trends: Short-term changes are insufficient to support good inferences about the future
• Context: Data without context is not actionable

II. Classroom-level Data Part I (Video | PDF) & Part II (Video | PDF)

• Obtaining class enrollment data for any semester
• Grade distributions, withdrawal/incompletes, DFW rates, and how student grades in one class relate to grades in another
• Visualizing class enrollment data across time and as a function of student characteristics (major, etc.)

III. Demographics (Video | PDF)

• Student characteristics at any level – sex, race, ethnicity, first gen, county, state, and country of origin
• Headcounts, degrees, retention, and graduation numbers by major, race/ethnicity, first gen, etc., across semesters

IV. Dynamic Data Part I (Video | PDF) & Part II (Video | PDF)

Part I: Admissions data including admit rates, yield rates, examining data for the current date, and comparing programs by admissions metrics

Part II: Daily enrollments including headcounts and SCH as of the current date, cumulative headcounts and SCH to reveal the dynamic of enrollment over long periods of time, and anticipating the upcoming term's enrollment

Tailoring and Exporting Power BI Data (Video | PDF)

• Using slicers, drill-down and sorting, exporting reports to PDF, exporting data from tables, resetting reports to default

Accessing and Using Power BI Reports (Video | PDF)

• Navigating to Power BI, finding reports shared with you, navigating reports and dashboards, using favorites