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Data analytics is:
Techniques and processes used to enhance
productivity and business gain.
Data is collected and categorized to Identify
and Analyze the behaviour and patterns of
subjects
Data Analysis was done earlier too, but with internet in every part
of our life, data analysis is not guess work anymore, it’s science.
Data analytics is so big today because of:
 Better data collection
 Better data mining
 More processing power
 Airline prices changes every hour
 Facebook recommending friends
 Some customers getting more discounts from sites like
Flipkart than others
 Railways & shipping companies using sensors on every
vehicle to schedule maintenance
 Government using Aadhar card usage to build schools and
clinics
Most Raw Data, especially Big Data, is not
suitable for human consumption. But the
information we derive from the data is
The purpose of Descriptive Analytics is to
summarise – Describe - what happened.
80% of business data analytics,
notably social analytics is descriptive
Predictive Analytics is used to forecast – not
to tell – what will happen in future
This type of analytics is increasingly used after the
onset of Big Data
Use various techniques of statistics, data mining, modelling &
machine learning
Predictive Analytics is used to recommend
course of action
Doesn’t predict one future, but many –
depending upon decision maker’s action
Needs to have actionable data (data that
can be acted upon) & a feedback
mechanism
 As big data gets into every nook and corner, the
demand for data analytic skills is seeing no end
….. and this would remain for some time.
Data analytics course in pune | Data analytics courses in pune | Data analytics courses | Learn data analytics |

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Data analytics course in pune | Data analytics courses in pune | Data analytics courses | Learn data analytics |

  • 1.
  • 2. Data analytics is: Techniques and processes used to enhance productivity and business gain. Data is collected and categorized to Identify and Analyze the behaviour and patterns of subjects
  • 3. Data Analysis was done earlier too, but with internet in every part of our life, data analysis is not guess work anymore, it’s science. Data analytics is so big today because of:  Better data collection  Better data mining  More processing power
  • 4.  Airline prices changes every hour  Facebook recommending friends  Some customers getting more discounts from sites like Flipkart than others  Railways & shipping companies using sensors on every vehicle to schedule maintenance  Government using Aadhar card usage to build schools and clinics
  • 5. Most Raw Data, especially Big Data, is not suitable for human consumption. But the information we derive from the data is
  • 6. The purpose of Descriptive Analytics is to summarise – Describe - what happened. 80% of business data analytics, notably social analytics is descriptive
  • 7. Predictive Analytics is used to forecast – not to tell – what will happen in future This type of analytics is increasingly used after the onset of Big Data Use various techniques of statistics, data mining, modelling & machine learning
  • 8. Predictive Analytics is used to recommend course of action Doesn’t predict one future, but many – depending upon decision maker’s action Needs to have actionable data (data that can be acted upon) & a feedback mechanism
  • 9.  As big data gets into every nook and corner, the demand for data analytic skills is seeing no end ….. and this would remain for some time.