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DATA ANALYSIS#1

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

STATISTICS#2

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

DATA VISUALIZATION#3

The graphical representation of information and data to communicate insights clearly and effectively.

REPORT WRITING#4

The process of organizing and presenting data analysis findings in a structured format.

DATA COLLECTION#5

The systematic gathering of information for analysis, using methods like surveys or experiments.

DATA CLEANING#6

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

DESCRIPTIVE STATISTICS#7

Statistical techniques that summarize and describe data characteristics, such as mean and median.

INFERENTIAL STATISTICS#8

Methods that allow conclusions to be drawn about a population based on a sample.

MEAN#9

The average value of a dataset, calculated by dividing the sum of all values by the number of values.

MEDIAN#10

The middle value in a dataset when the numbers are arranged in order.

MODE#11

The value that appears most frequently in a dataset.

STANDARD DEVIATION#12

A measure of the amount of variation or dispersion in a set of values.

OUTLIER#13

A data point that differs significantly from other observations in a dataset.

PROBABILITY#14

A measure of the likelihood that an event will occur, expressed as a number between 0 and 1.

DATA SET#15

A collection of related data points organized for analysis.

EXPLORATORY DATA ANALYSIS (EDA)#16

An approach to analyzing data sets to summarize their main characteristics, often using visual methods.

VISUALIZATION TECHNIQUES#17

Methods used to create visual representations of data, such as charts and graphs.

DATA INTERPRETATION#18

The process of making sense of collected data and drawing conclusions.

DATA SOURCES#19

Locations or repositories where data can be obtained for analysis.

DATA ANALYSIS SOFTWARE#20

Programs like Excel, Tableau, or Python used to analyze and visualize data.

DATA REPORT#21

A structured document presenting the findings of a data analysis.

MINI-SURVEY#22

A small-scale survey designed to collect specific data from a limited audience.

RELIABILITY#23

The consistency and dependability of a measurement or data collection method.

DATA PRESENTATION#24

The process of sharing data findings with an audience, often using visual aids.

EFFECTIVE COMMUNICATION#25

The ability to convey information clearly and understandably to others.

ANALYTICAL SKILLS#26

The ability to analyze information and draw logical conclusions.