ICDL Data Analytics (ICDL) flashcards
ICDL Data Analytics · Build recall with a focused review session.
32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- Descriptive analytics
- Summarises historical data to show what happened, using totals, averages, rates and trends. It is the simplest of the four analytics types and answers no causal question.
- Predictive analytics
- Uses statistical models and historical patterns to estimate the likelihood of future outcomes, such as forecasting demand or scoring customers by churn risk.
- Nominal data
- Categorical data with no inherent order, such as country, product colour or department. Only frequency counts and the mode are meaningful summaries.
- Ratio data
- Numeric data with equal intervals and a true zero, such as revenue, weight or duration, so all arithmetic including ratios and percentages is valid.
- Population versus sample
- A population is every unit of interest; a sample is a subset measured instead. Parameters describe populations and statistics describe samples.
- Median
- The middle value of an ordered dataset, or the average of the two middle values when the count is even. It is resistant to outliers.
- Correlation does not imply causation
- A high correlation coefficient shows association only. Confounding variables, reverse causation or coincidence may explain the relationship, so experiments or further evidence are needed.
- KPI
- Key performance indicator: a metric tied to a strategic objective with a defined target, an accountable owner and a regular reporting cadence.
- Data quality dimensions
- Accuracy, completeness, consistency, timeliness, validity and uniqueness. Each is assessed separately because a dataset can score well on one and poorly on another.
- ELT versus ETL
- ETL transforms data before loading it into the warehouse; ELT loads raw data first and applies transformations inside the warehouse using its own compute power.
- Third normal form
- A table is in 3NF when it is already in 2NF and contains no transitive dependencies, so every non-key field depends only on the key, not on other non-key fields.
- IQR outlier rule
- Values below Q1 minus 1.5 times the interquartile range, or above Q3 plus 1.5 times the IQR, are flagged as potential outliers for review.
- Left join
- A join returning all rows from the left table and only matching rows from the right table; unmatched right-side fields are filled with null values.
- Mean imputation
- Replacing missing values with the variable's average. It preserves sample size but shrinks variance and can weaken or distort correlations with other variables.
- Referential integrity
- The rule that every foreign key value in a child table must match an existing primary key in a parent table, which prevents orphan records.
- Primary key
- A column, or combination of columns, that uniquely identifies every row in a table and cannot contain nulls or duplicate values.
- COUNT versus COUNTA
- COUNT counts cells containing numbers only, whereas COUNTA counts every non-empty cell, including text, dates and logical values.
- SUMIFS function
- Adds values in a sum range where one or more criteria ranges match their criteria, using operators and wildcards such as ">=1000" or "North*".
- VLOOKUP limitation
- VLOOKUP searches only to the right of the lookup column and defaults to approximate match, so an exact match needs FALSE and left lookups fail.
- PivotTable
- An interactive summary that groups rows by category fields and aggregates a value field using sum, count or average, requiring a refresh after source data changes.
- Simpson's paradox
- An aggregate trend that reverses when the data is split into subgroups, typically because subgroup sizes are unbalanced across the compared categories.
- R-squared
- The proportion of variance in the dependent variable explained by a regression model, ranging from 0 (explains nothing) to 1 (perfect fit).
- P-value
- The probability of observing data at least as extreme as the sample if the null hypothesis were true. It is not the probability that the null is true.
- Moving average
- The average of the most recent n periods, recalculated each period as the window advances, used to smooth short-term noise and expose underlying trend.
- Line chart
- Best for continuous time series: time runs along the horizontal axis and the slope of the line communicates the rate of change between periods.
- Scatter plot
- Plots one numeric variable against another to reveal the direction and strength of a relationship, plus clusters and outlying observations.
- Truncated axis
- Starting a value axis above zero, which exaggerates differences between bars or columns. Bar and column charts should always include zero.
- Sequential colour scale
- A single hue varying from light to dark that encodes ordered low-to-high values; diverging scales are used instead when data has a meaningful midpoint.
- Data-ink ratio
- Tufte's principle that the share of ink representing actual data should be maximised, so gridlines, borders and decoration without informational value are removed.
- Five-second rule
- A dashboard's key message and headline metrics must be graspable within about five seconds, so the most important indicator is placed top-left.
- Alt text
- A short written description of a chart or image, read aloud by screen readers, conveying the key insight rather than just naming the chart type.
- Histogram versus bar chart
- A histogram bins continuous data into intervals and shows adjacent bars with no gaps; a bar chart compares discrete categories and keeps gaps between bars.