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Data science
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Data science

  1. 1. DATA SCIENCE
  2. 2. SELF INTRODUCTION ➤ Dinh Khac Thanh ➤ thanh@holistics.io ➤ Co-founder and Chief Engineer at Holistics Software - data reporting and infrastructure company ➤ Worked at Revolution Analytics (acquired by Microsoft) - basically a Data Science company, as Data Engineer
  3. 3. DATA SCIENTIST ➤ Harvard Business Review: The Sexiest Job of 21st century ➤ Data scientist salary (Business Insider) ➤ Facebook: $133,841 ➤ Apple: $149,963 ➤ Airbnb: $117,229 ➤ Twitter: $134,861 ➤ Best Job of the year 2016 in the US
  4. 4. WHAT IS DATA SCIENCE? ➤ Examples ➤ Real life ➤ Amazon (recommendation) ➤ Facebook (face recognition) ➤ Google (spam detection, google translation, etc.) ➤ Nate Silver ➤ From Revo ➤ Seagate ➤ Intel ➤ NLP project ➤ Kaggle https://www.kaggle.com/
  5. 5. WHAT IS DATA SCIENCE?
  6. 6. WHAT IS A DATA SCIENTIST?
  7. 7. DATA SCIENCE PROCESS ➤ Getting data ➤ Data scraping ➤ Data collection ➤ Exploring data ➤ Data exploration ➤ Data visualisation ➤ Building models ➤ Machine learning models (SVM, decision trees, deep learning, etc.) ➤ Presenting data ➤ Data visualisation
  8. 8. DATA SCIENTISTS’ KNOWLEDGE ➤ Fundamental requirements ➤ Linear Algebra ➤ Multivariable Calculus ➤ Probability and Statistics ➤ Know Python and/or R ➤ SQL ➤ Excel ➤ Machine learning algorithms (Regression, random forest, boosting, etc.) ➤ Advanced tools ➤ Hadoop/Spark ➤ DW like Redshift/Vertica/Teradata etc.
  9. 9. HOW TO BECOME DATA SCIENTIST? ➤ Learn ➤ Courses ➤ Harvard’s Data Science (http://cs109.github.io/2014/) ➤ Coursera ➤ Udacity ➤ Books ➤ http://www.wzchen.com/data-science-books ➤ Practice ➤ Kaggle competition
  10. 10. QUESTIONS AND ANSWERS

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