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Data Science

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Data Science

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Data science is different from Data Analytics,Data Engineering,Big Data.
Presentation about Data Science.
What is Data Science its process future and scope.
Data Science Presentation By Amit Singh.
"Sexiest job of 21st century"

Data science is different from Data Analytics,Data Engineering,Big Data.
Presentation about Data Science.
What is Data Science its process future and scope.
Data Science Presentation By Amit Singh.
"Sexiest job of 21st century"

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Data Science

  1. 1. “The Sexiest Job of the 21st Century” By: Harvard Business Review
  2. 2. Question How many bikes I need to order if there is a petrol hike in India? What are the possible ways, processes, technology or solution that can help us to get the solution ……….. By 2020, more than 80 % of the data will be unstructured
  3. 3. We can have the following ways to use or apply for getting our solution…….. Data Analytics Business intelligence Artifical intelegence Big data Macine learning Data Engineering etc..
  4. 4. Data Science is the future of Artificial Intelligence.
  5. 5. WHAT ID DATA SCIENCE? Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science. [
  6. 6. How it is Different?  How is this different from what statisticians have been doing for years?  The answer lies in the difference between explaining and predicting. “Data Scientist is better at statistics than any software engineer and better at software engineering than any statistician.” ― Josh Wills, Director of Data Engineering at Slack Predictive causal analytics Prescriptive analytics ML for making predictions
  7. 7. Power of Data Science(Netflix)
  8. 8. “Data science is everywhere” Price Comparison Websites Airline Route Planning Delivery logistics Digital Advertisements (Targeted Advertising and re-targeting) Self Driving Cars Many more……….
  9. 9. How data science work ? 1.Understand the problem 2.Collect enough data 3.Procees the raw data 4.Explore the data 5.Analyse the data 6.Communicate the result
  10. 10. Live example….. 1.Collect the patient past history(Plasma glucose concentration, Blood pressure, Body mass index, Age, Number of times pregnant, Diabetes pedigree function) 2. we need to clean and prepare the data(Structured data) 3.Model planning:-Do some analysis. 4.Model Building:- the best fit for this kind of problem is the decision tree 5.Operations:-we will run a small pilot project to check if our results are appropriate 6.Communicate:- Once we have executed the project successfully, share the output for full deployment.
  11. 11. What is data science – the requisite skill set Data science is a blend of skills in three major areas: 1. Mathematics Expertise. 2. Technology Hacking skills. 3. Business/Strategy Acumen. Good at statistics and mathematics to analyze and visualize data. Machine Learning forms the heart of Data Science and requires you to be good at it. Solid understanding of the domain you are working in to understand the business problems clearly. Capable of implementing various algorithms which require good coding skills. Able to deliver decisions to the stakeholders. So, good communication must be needed.
  12. 12. Various tools for Data Science
  13. 13. Scope/Future & Needs  A report by McKinsey predicts “by 2020, there will be 40,000 exabytes of data collected. Someone has to do something with that data.”  Attractive Package – Data scientists have become one of the hottest commodities around the industries.  It is predicted that by the end of the year 2018, there will be a need of around one million Data Scientists  Combination of knowledge and money
  14. 14. Top Data Science Companies  Google  Amazon  Visa  Facebook  Apple  IBM  Netflix
  15. 15. SO, Get ready for the “Sexiest Job of 21st Century”

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