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What is Data?
What is Data?
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Data science

  1. 1. Data Scientist
  2. 2. Data Science Data Mining Automatic Decisioning Predictive analysis Machiine Learning Data Analytics Data Analysis The Big Picture
  3. 3. How much data is generated in a day – and what could this look like as we enter an even more data-driven future?
  4. 4. The hierarchy of Data Science
  5. 5. Business Understanding Analytic Approach Data Requirements Data collection Data understanding Data preparationModelling Evaluation Deployment Feedback CRISP-DM methodology
  6. 6. Maths and Statistics Computer Skills Domain Knowledge Machine Learning Traditional Research Data Science Traditional software M.Sc/ PhD in Maths or Statistics IT skills like C, C++, Java, R , Python etc. Business knowledge like Marketing / sales /Procurement/ Finance/ Banking/ Healthcare / Defence etc Skills required for a data scientist
  7. 7. Skill Set as per Gartner
  8. 8. • As per Gartner the skill required is depicted in the below figure, the coloured blocks represent the "minimum" level of skill required for each role on a scale of 0 to 5
  9. 9. Health CareTravel Marketing AutomationBanking Social media Sales Data Science usage Dynamic Pricing Surge Pricing In Uber and Ola Disease prediction Medication Effectiveness Fraud detection Credit card Risk detection Customer Churn Upselling Cross Selling Sentiment Analysis Network Analysis Self Driving Cars Chat Bots Demand Forecasting New product positioning Data Science Usage
  10. 10. Tools used for Data Science

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