Data Science

What is Data Science?

Data Science

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract data, analyze data and then visualize the data.

Data Science
Data Science

Data Science Life Cycle

Data Science Life Cycle
Data Science Life Cycle

Data science generally has a five-stage life cycle having below mentioned stages which require different data extraction and data management techniques, algorithms, programs, data visualization, data analysis and data communication tools and scientific techniques.

  • Capture: Data acquisition, data entry, signal reception, data extraction
  • Maintain: Data warehousing, data cleansing, data staging, data processing, data architecture
  • Process: Data mining, clustering/classification, data modeling, data summarization
  • Communicate: Data reporting, data visualization, business intelligence, decision making
  • Analyze: Exploratory/confirmatory, predictive analysis, regression, text mining, qualitative analysis

Data Science Uses

Data science is implied in various fields as it is having wide horizon, few of the uses are mentioned below-

  • Automation and decision-making- Self Driving cars, example- Tesla
  • Classifications- Responses, Emails-Spam, example- Gmail
  • Forecasting- Weather, Earthquake,
  • Pattern detection- Stock Exchange, Trading, Gaming
  • Anomaly detection- Fraud, Transactions, Finance Sector- Client’s creditworthiness, frauds
  • Recognition- Facial, Voice, Handwriting
  • Recommendations- Sales, example- Amazon
  • Complex calculations- Formulas, Chemical Compositions,
  • Medical Science- Cancer, Genes
  • Entertainment- Movies, Feeds, News, example- Netflix
  • Logistics- Navigation, Map, Shortest Routes, example-UPS company’s ORION tool


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