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Data Scientist: Job of the Century
Data Science:
• Data science, also known as data-driven science, is an
interdisciplinary field of scientific methods, processes,
and systems to extract knowledge or insights from
data in various forms. -Wikipedia
Components of Data Science:
Data Scientist skills:
• A data scientist should be a good programmer!
• A data scientist should have solid quantitative skills!
• A data scientist should excel in communication and
visualization have a solid business understanding!
• A data scientist should be creative!
Data Scientist:
Data Science Applications:
• Search Recommendations
• Digital Advertisements
• Image Recognisation.
• Gaming
• Fraud and risk detection.
• Self Driving Cars
What do Data Scientists do ?
Identify
Business
Problem
Identify
Data
Sources
Select
the
Data
Clean
the
Data
Transform
the
Data
Analyze
the
Data
Intepret,
Evaluate,
and Deploy
the Model
Preprocessing Analytics
Post-
processing
In the Article:
• When LinkedIn had a pool of users, data science
helped in the exponential growth of the company by
recommending the best connections as
recommendations.
• Netflix has used data science to improve the movie
recommendation system.
In the Article:
• Amazon use data science to recommend the
appropriate product to customer based on his
shopping history.
Need of Data Scientist:
• With improvement in technology, data has been
accumulating exponentially.
• Need to find insights from the unstructured data to
improve the business requirements is growing rapidly.
Thank You

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2.data science job of the century

  • 1. Data Scientist: Job of the Century
  • 2. Data Science: • Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, and systems to extract knowledge or insights from data in various forms. -Wikipedia
  • 4. Data Scientist skills: • A data scientist should be a good programmer! • A data scientist should have solid quantitative skills! • A data scientist should excel in communication and visualization have a solid business understanding! • A data scientist should be creative!
  • 6. Data Science Applications: • Search Recommendations • Digital Advertisements • Image Recognisation. • Gaming • Fraud and risk detection. • Self Driving Cars
  • 7. What do Data Scientists do ? Identify Business Problem Identify Data Sources Select the Data Clean the Data Transform the Data Analyze the Data Intepret, Evaluate, and Deploy the Model Preprocessing Analytics Post- processing
  • 8. In the Article: • When LinkedIn had a pool of users, data science helped in the exponential growth of the company by recommending the best connections as recommendations. • Netflix has used data science to improve the movie recommendation system.
  • 9. In the Article: • Amazon use data science to recommend the appropriate product to customer based on his shopping history.
  • 10. Need of Data Scientist: • With improvement in technology, data has been accumulating exponentially. • Need to find insights from the unstructured data to improve the business requirements is growing rapidly.