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
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Learn relevant 21st century skills
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Increase earning potential
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Career change
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Become more marketable
DATA SCIENCE
sweet, sweet, data
Locating ethnic food in ethnic neighbourhoods
Title
AirBnB Competitor Analysis
DATA Science WORK FLOW
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Acquire
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Parse
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Filter
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Mine
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Represent
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Refine
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Interact
DATA SCIENTISTS
Qualities
- Statistical and machine learning knowledge
- Engineering experience
- Academic curiosity
- Product sense
- Storytelling
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Cleverness
CROSSROADS
Donations
Inventory
Volunteers
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Happening 26-28 september
COURSE DETAILS
UNIT 1: THE BASICS
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Python for Data Science.
- Machine learning (linear models)
- Data Visualisation
UNIT 2: TEXT TO DATABASE
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Data Acquisition, Manipulation and Preparation
- MongoDB + JSON
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API Requests
- Python Pandas
UNIT 3: SUPERVISED LEARNING
- Regression Techniques
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Regression and Regularisation
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Logistic regression
- Classification Techniques
- Naive Bayes
- Decision Trees
- Support Vector Machines
- Regression Techniques
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Regression and Regularisation
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Logistic regression
- Classification Techniques
- Naive Bayes
- Decision Trees
- Support Vector Machines
UNIT 4: real world problems
- Unsupervised learning
- Classification Systems
- Recommendation Systems
- Decision Systems
- Unsupervised learning
- Classification Systems
- Recommendation Systems
- Decision Systems
UNIT 5: Your Projects
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
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Some knowledge of Python beneficial
- 10 hours of pre-course work
- 4 hours of weekly homework
System Requirements
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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
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Runs from 27 January to 9 April, 2014
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Meets Mondays & Wednesdays from 19:00 -22:00
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Classes held at CoCoon, Tin Hau
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Expected class size is 15 students
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Tuition is HK$ 28,000
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Payment plan is available
- Application deadline on 17 January