Data Science

HONG KONG





  WELCOME TO  



"General Assembly is an educational institution that transforms thinkers into creators through education in technology, business and design"




How it works? 


  Practical, real-world, hands 

  on instruction.  




  our STUDENTS Are individuals 

  who want to  

  •   Learn relevant 21st century skills  

  •   Increase earning potential  

  •   Career change  

  •   Become more marketable  



  DATA SCIENCE  





  sweet, sweet, data  



Locating ethnic food in ethnic neighbourhoods

Title




AirBnB Competitor Analysis


DATA Science WORK FLOW

  1. Acquire
  2. Parse
  3. Filter
  4. Mine
  5. Represent
  6. Refine
  7. Interact




  DATA  SCIENTISTS  

Qualities

  • Statistical and machine learning knowledge
  • Engineering experience
  • Academic curiosity
  • Product sense
  • Storytelling
  • Cleverness



 CROSSROADS 




Donations


Inventory


Volunteers


  MAKE.04 hacking health hackathon  


  Happening 26-28 september





COURSE DETAILS


UNIT 1: THE BASICS

  • Python for Data Science.
  • Machine learning (linear models)
  • Data Visualisation


    UNIT 2:     TEXT TO DATABASE

    • Data Acquisition, Manipulation and Preparation
    • MongoDB + JSON
    • API Requests 
    • Python Pandas



    UNIT 3:     SUPERVISED LEARNING

    • Regression Techniques 
      • Regression and Regularisation
      • Logistic regression
    • Classification Techniques
      • Naive Bayes
      • Decision Trees
      • Support Vector Machines


    UNIT 4: real world problems

    • Unsupervised learning
    • Classification Systems
    • Recommendation Systems
    • Decision Systems


      UNIT 5: Your Projects  



    QA Optimisation

    Concrete Delivery

    RECRUITMENT DELIVERY

    SYNTHETIC POETRY

     



    Instructor

    • Founder, Open Data HK (2013)
    • FEWD Instructor, GA (2013)
    • Analytical Engineer, Demyst (2013)
    • Data Architect, DAnalytics (2012)




    Is it for me?

    Commitment

    "Data Science involves the programmatic implementation of statistical models"

    • Good grasp of statistics required
    • Some knowledge of Python beneficial
    • 10 hours of pre-course work
    • 4 hours of weekly homework 

    System Requirements


    • Bring Your Own Laptop
    • Please use OSX or Linux
    • Windows can come too
    • Python v2.7.7
    • Chrome Browser





    ALUMNI PERSPECTIVE





    Q&A

    General Assembly Benefits

    • Practical, dynamic content developed by curriculum design team & adapted by local  instructors
    • Free 3 month membership to GA Front Row
    • Final project/portfolio 
    • Permanent access to all course resources
    • Strong, global, diverse community of makers
    • Personalized instruction and support

    Data science course details

    • Runs from 27 January  to 9 April, 2014
    • Meets Mondays & Wednesdays from 19:00 -22:00
    • Classes held at CoCoon, Tin Hau
    • Expected class size is 15 students
    • Tuition is HK$ 28,000
    • Payment plan is available
    • Application deadline on 17 January

     Question? 

    Intro to Data Science

    By Mart van de Ven

    Made with Slides.com

    Intro to Data Science

    Intro Session for General Assembly's Data Science course taught in Hong Kong by Mart van de Ven.

    • 1,383

    More from Mart van de Ven