Data Science 1

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.