Prof Andy KoroniosHead

School of Information Technology & Mathematical Sciences

Data Science Education

Big Data – ‘Virtual trail of physical reality’

Everything, Everywhere…. An Intelligent, Instrumented & Interconnected world!

2.2 Billion People use the Internet60 % of Australians used it today

The Internet of Things

Big Data… Everywhere!

Lots of Hadoopalooza

All these are widely available & virtually free

‘Data Scientists’ are not widely available and certainly not ‘free’

“Data Scientists are better at statistics than software engineers and better at programming than statisticians”

“they make discoveries while swimming in data”

Data Science: A Multidisciplinary Activity

Data Sciences’ Value Chain

• Transactions• Social Media• Stream Data

o Environmentalo Industrialo GPSo Image/Video

• Exhaust Datao Network datao System logs

• High rate financial data

Data Capture Data Mgt Data Storage& Access

Analytics Application Evaluation

• Integration• Security• LCM• MDM• Data Quality

Data Capture Data Mgt Data Storage& Access

Analytics Application Evaluation

Data Sciences’ Process Model

• Hadoop HDFS• Map Reduce• DWH• Federated Discovery &

Navigation

Data Capture Data Mgt Data Storage& Access

Analytics Application Evaluation

Data Sciences’ Process Model

• Descriptive Analyticso Association Ruleso Sequence Ruleso Segmentation

• Predictive Analyticso Regressiono Classification

• Decision Trees• Neural Networks• Text Analytics• Real time Analytics

Data Capture Data Mgt Data Storage& Access

Analytics Application Evaluation

Data Sciences’ Process Model

• Discussion of Insights with domain experts;

• Running experiments at scale;• Operationalising the Models;• ROI calculations• Business Case Development• Implementation Issues;

Data Capture Data Mgt Data Storage& Access

Analytics Application Evaluation

Data Sciences’ Process Model

• Monitoring;• Model Optimisation;• Evaluation of initiative

Data Capture Data Mgt Data Storage& Access

Analytics Application Evaluation

Data Sciences’ Process Model

Attributes of a Data Scientist

1. Communication Skills are underrated;

2. The biggest challenge is not modelling, it is collecting and cleaning;

3. A Data Scientist is better at statistics than a SW engineer and better at SW engineering than a statistician;

4. A curiosity about working with data is a quality better than technical skills;

5. Good storytelling is a must.

6. The area is nascent and the role is freeform – good time to join;

https://s3.amazonaws.com/leada/handbook/Handbook_Pt1.pdf

Ask the right Qs * Analyse data * Build statistical models * Developing data apps

A Very Rare Creature Indeed!

“a hybrid of data hacker, analyst, communicator, and trusted adviser…”

Data Scientist Employment Growth

The U.S. could face a shortage by 2018 of 140,000 to 190,000 people with "deep analytical talent" and of 1.5 million people capable of analyzing data in ways that enable business decisions.

(McKinsey & Co)

Big Data and its Impact

…. ‘there are no university programs offering degrees in data science’…..

Circa late 2012…..

HbR, 2012

Data Science degrees Today

US Universities• North Carolina State• Stanford• UC Berkley • MIT• North Western• Washington• George Mason• NY• Etc…

Australian Universities

• UniSA• Deakin• Macquarie• UTS• ……+++

Certification Programs• EMC Data Science Associate (EMCDSA)• Cloudera CCP-Data Scientist• Insight Data Science Fellows Program,• SAS• Institute for Data Science and Engineering

More than 250 universities World wide now offer some courses in Data Science & Big Data

Late in 2013

UniSA MDSc - Key features

• Suite of nested programs developed in conjunction with the Institute of Analytics Professionals of Australia (IAPA) and SAS, industry leader in business analytics

• Available face-to-face or entirely online, part-time or full time

• Emphasis on professional practice• Technical skills in Data Science as well as

project management, communications and visualisation

School of Information Technology & Mathematical Sciences

Entry pathways

School of Information Technology & Mathematical Sciences

Master of Data

Science

Graduate Certificate

Graduate Diploma

Bachelor degree in Information Technology OR Mathematics

Bachelor degree in any discipline(plus relevant work

experience)

Program structure

Partnership with SAS

• Benefits:– Licence to use SAS software in a number of courses.– SAS certification for graduates of the Master program.– Eligibility for placement in the final semester through

SAS Work Placement Program.• Approximately 20 placements a year across Australia.• A good final year student in the Master of Data Science should

have a good chance of obtaining a placement, but it cannot be guaranteed.

School of Information Technology & Mathematical Sciences

Data Science Professional Development

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Program Student Demographics

• Variety of backgrounds, mainly technical– Engineers, Mathematicians, Computer Scientists,

Finance specialists, Marketers

• Mostly part time/online;• 2/3 ‘Out-of-State’;• 2/3 Male;• Median Age 39; • Mostly employed in similar role (mainly BI);• Highly motivated;• Already in demand.

School of Information Technology & Mathematical Sciences