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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.