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DATA ANALYSIS#1

The process of inspecting, cleaning, and modeling data to discover useful information and support decision-making.

DATA VISUALIZATION#2

The graphical representation of information and data, making complex data more accessible and understandable.

DATA CLEANING#3

The process of correcting or removing inaccurate records from a dataset to improve its quality.

STATISTICS#4

A branch of mathematics dealing with data collection, analysis, interpretation, and presentation.

QUALITATIVE DATA#5

Non-numeric information that describes qualities or characteristics, often collected through interviews or surveys.

QUANTITATIVE DATA#6

Numeric data that can be measured and quantified, often used for statistical analysis.

DESCRIPTIVE STATISTICS#7

Statistical methods that summarize and describe the main features of a dataset.

MEASURES OF CENTRAL TENDENCY#8

Statistics that describe the center of a dataset, including mean, median, and mode.

MEASURES OF DISPERSION#9

Statistics that describe the spread or variability of a dataset, such as range, variance, and standard deviation.

DATA SOURCE#10

The origin of data, which can be primary (collected firsthand) or secondary (collected by others).

OUTLIER#11

A data point that differs significantly from other observations, potentially indicating a measurement error.

DATA DISTRIBUTION#12

The way in which data values are spread or arranged, often visualized through histograms.

VISUALIZATION TOOLS#13

Software and applications used to create visual representations of data, such as Tableau or Excel.

ETHICS IN DATA COLLECTION#14

Principles guiding the responsible and fair gathering of data, ensuring respect for privacy and consent.

DATA SET#15

A collection of related data points organized in a structured format, often in tables.

ANALYTICAL REPORT#16

A comprehensive document that presents data analysis findings, methodologies, and conclusions.

DATA INTERPRETATION#17

The process of making sense of data by analyzing and explaining its significance.

HYPOTHESIS TESTING#18

A statistical method used to determine if there is enough evidence to support a specific claim about a dataset.

DATA MODELING#19

The process of creating a conceptual representation of data structures and relationships.

DATA INSIGHT#20

A meaningful interpretation derived from analyzing data, leading to informed decision-making.

PORTFOLIO#21

A collection of work samples that showcase skills and competencies, often used for assessment.

PEER REVIEW#22

A process where peers evaluate each other's work to provide constructive feedback and improve quality.

PRESENTATION SKILLS#23

The ability to effectively communicate information to an audience, often through visual aids.

STORYTELLING WITH DATA#24

The art of using data visualizations and narratives to convey insights and engage an audience.