SMU BIA Sharing on Data Science

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SMU BIA Info-Session:
Data Analytics
SMU Business Intelligence and Analytics
Info-Session 23th Aug 2017

SMU BIA Info-Session:
Data Analytics
SMU Business Intelligence and Analytics
Info-Session 23th Aug 2017

What is data analytics?

Analysis and visualization to provide
insight that help solve problems

Machine Learning to solve problems in an
automated and scalable fashion

Why data analytics?

Make informed bottom-up decisions—no more
guessing

Competitive advantage—for yourself and
organizations

Data is exponentially produced—demand will
only increase

How to learn
data analytics tools?

SQL
- w3schools (step-by-step on basic SQL)
- sqlzoo (practice questions on SQL)
Underlined bullets are hyperlinks

Python / R
- Interactive programming in Python (Rice)
- Introduction to Computer Science in Python (MIT)
- R programming (...

Spark
- Introduction to Apache Spark (Berkeley)
- Big data analysis with Apache Spark (Berkeley)
- Databricks education ma...

How to learn
data analytics skills?

Probability, statistics, and experiment design
- Inferential Statistics (Duke)
- Statistical Inference (Johns Hopkins)
Und...

Machine Learning
- Machine Learning (Stanford)
- Statistical Learning (Stanford)
Underlined bullets are hyperlinks

Communication
- Written
- Spoken

How to practice
data analytics?

Start your own projects
- Learn what’s not taught at school
- Add to your portfolio

Volunteer with NGOs
- DataKind, an NGO that helps NGOs tackle
problems through data science

Write and Speak
- Write a blog on your learning
- Share at meetups

What can you
do today?

Steps to take
- Get very good at basic SQL
- Get very good at either R or Python
- Understand basic machine learning techn...

How did I get into
data analytics?

Studied Psychology and Business at SMU
- Probability, statistics, experimental design
- Written and verbal communication
-...

Economic and political analysis at MTI
- Written and verbal communication

Joined IBM to pursue passion
in working with data

First step into data analytics as a data analyst

Developed dashboards and analytics for
end-to-end supply chain optimization
- SQL
- Dashboarding (Cognos)

Worked on anti-money laundering and entity
resolution system for global bank
- SQL
- Python
- Machine Learning

Collected and analyzed tweets to provide
insights for electronics conglomerate
- Python
- Machine Learning (NLP)

Was transferred to workforce analytics team,
working on data from IBM’s 450k employees

Forecast models for global job demand to
optimize recruitment and workforce allocation
- SQL
- Python
- Machine Learning
-...

Job recommender to increase internal transfer,
skill renewal, satisfaction, and reduce attrition
- SQL
- Python
- Machine ...

Current at Lazada’s Data Science team

More information here
- Blog post: How to get started in Data Science
- Slideshare: My Data Science journey and what I do
...

Thank you!
eugene.yan@lazada.com
eugeneyanziyou@gmail.com

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