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Data Science
A set of fundamental principles that guide the extraction of knowledge from data to support decision-making.
3Vs of Big Data
Volume, Velocity, and Variety used to characterize big data sets.
Descriptive Statistics
Techniques that quantify the aggregate structure of a dataset using mean, standard deviation, and correlation.
Exploratory Visualization
The process of representing data visually to identify patterns and relationships.
Dimensional Slicing
A method of OLAP that provides information by slicing data through dimensions like products or regions.
Hypothesis Testing
A statistical method used in confirmatory data analysis to evaluate the validity of a hypothesis.
Data Engineering
The process of sourcing, organizing, and distributing data for effective analysis.
Business Intelligence
Tools and methods that enable organizations to query and visualize data trends.
Machine Learning
A business application of artificial intelligence that relies heavily on algorithms to learn from data.
Artificial Intelligence
The simulation of human intelligence processes by machines, especially computer systems.
Data Analytics
The science of analyzing raw data to make conclusions about that information.
A/B Testing
A statistical method to compare two versions of a webpage or product to see which performs better.
Quantitative Fields
Fields such as statistics or mathematics that focus on numerical data and analysis.
Data Processing
The collection and manipulation of data to produce meaningful information.
Big Data Technologies
Technologies used to process and handle large data sets, including ETL tools and distributed computing systems.
ETL Process
Extraction, Transformation, and Loading; vital for preparing data for analysis.
Customer Targeting
Using data to understand and segment customers for better marketing efforts.
Data Source
The origin of data, which can come from various internal or external platforms.
Data Visualization
The graphical representation of information and data to make insights clearer.
Predictive Analytics
Techniques that use historical data to predict future outcomes.
