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

dATA SCIeNCE USES

Stack Overﬂow tag recommendation and response time prediction
Locating ethnic food in ethnic neighbourhoods
Building optimal NBA teams
Recommending new musical artists
Prioritize emergency calls in Seattle
Finding the right college for you

DATA Science WORK FLOW

Acquire
Parse
Filter
Mine
Represent
Refine
Interact

DATA SCIENTISTS

Qualities

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

OUR SYLLABUS

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

MAKE.03 HEALTH HACKATHON

The week after we finish this course!

OPEN DATA HONG KONG

COURSE DETAILS

Instructor

Founder, Open Data HK (2013)

FEWD Instructor, GA (2013)

Analytical Engineer, Demyst (2013)

Data Architect, DAnalytics (2012)

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

BENEFITS

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

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

Linux or OSX are preferred

Windows can come too

Python v2.7.6

Chrome Browser