Data Analytics
The systematic computational analysis of data to discover useful insights and support decision-making.
Descriptive Analytics
Summarizes historical data to understand what has happened in the past.
Diagnostic Analytics
Examines data to understand the causes of past outcomes and behaviors.
Predictive Analytics
Uses historical data, machine learning, and statistics to forecast future events or trends.
Prescriptive Analytics
Suggests actions to take for optimal outcomes based on predictive insights and constraints.
Data Cleaning
The process of identifying and correcting errors or inconsistencies in data to improve quality.
Data Visualization
The use of charts, graphs, and dashboards to visually communicate data patterns and trends.
KPIs & Metrics
Key Performance Indicators help track progress against business objectives using measurable data points.
SQL for Analytics
Structured Query Language (SQL) is essential for querying, filtering, and aggregating data from databases.
Data Dashboards
Interactive platforms like Power BI or Tableau used to monitor key data and metrics in real-time.
Data Sources
Various inputs like databases, APIs, sensors, or spreadsheets from which data is collected.
Business Intelligence
A suite of tools and processes that transform raw data into meaningful and useful business information.