Data Mining vs Data Science

Below are excerpts from Quora: https://www.quora.com/What-are-the-differences-between-Data-Science-and-Data- Mining-are-they-same Google: “data mining versus data science”

Abdelbarre Chafik provided the following picture:

Data mining is a process of discovering patterns in large datasets involving methods of machine learning, statistics, and database systems to identify future patterns Data Science is a field of study that includes everything from Big Data, analytics, data mining, predictive modeling, data visualization, mathematics and statistics

The following comparison if from EDUCBA https://www.educba.com/data-science-vs-data-mining/

Data Science Vs Data Mining Comparison Table

Basis for Data Mining Data Science comparison

What is it? A technique An area

Focus Business process Scientific study

Building Data-centric products for an Goal Make data more usable organization

Output Patterns Varied

Social analysis, building predictive models, Purpose Finding trends previously not known unearthing unknown facts, and more

A person needs to understand Machine Someone with a knowledge of navigating Vocational Learning, Programming, info-graphic across data and statistical understanding Perspective techniques and have domain knowledge to can conduct data mining become a data scientist

Multidisciplinary – Data Science consists of Data mining can be a subset of Data Data Visualizations, Computational Social Extent Science as Mining activities are part of Sciences, Statistics, Data Mining, Natural Data Science pipeline Language Processing, et cetera

Deals with (type All forms of data – structured, semi-structured Mostly structured of data) and unstructured

Data Archaeology, Information Other less Harvesting, Information Discovery, Data-driven Science popular names Knowledge Extraction