The document provides information about data science and the role of a data scientist. It discusses that data scientist is considered the sexiest job of the 21st century with average salaries over $100,000 at major tech companies. A data scientist's responsibilities include getting data through scraping or collection, exploring and visualizing data, building machine learning models, and presenting insights. The skills required include proficiency in Python/R, SQL, linear algebra, statistics, and machine learning algorithms. It recommends taking online courses from Harvard, Coursera, Udacity and practicing on Kaggle competitions to become a data scientist.

1. DATA SCIENCE

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. 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. 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. WHAT IS DATA SCIENCE?

6. WHAT IS A DATA SCIENTIST?

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

9. 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.

10. 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

11. QUESTIONS AND ANSWERS