DataSci Intro

Data Science

interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

Data Science enables organizations to:

• Make data-driven decisions instead of leadership’s gut-feel

• Optimize operations by identifying inefficiencies and waste

• Predict future trends based on historical data

Machine Learning

Data Science is used to make _____ possible in the world of AI.

Statistics

the foundation of Data Science, focusing on data collection, analysis, interpretation, and presentation.

Machine Learning

enables systems to learn patterns from data and make predictions without explicit programming.

Data Engineering

involves designing, building, and maintaining systems for collecting, storing, and processing large datasets.

Civil Engineers

Data Engineers as the counterpart of

Data Analytics

the practice of collecting, processing, and representing data to make insights understandable and actionable.

Garbage In, Garbage Out

The principle states that the quality of output depends on the quality of input data.

Poor data

leads to inaccurate models and unreliable insights.

Garbage in

Poorly-curated dataset

Garbage out

Poorly-guessed outputs