As businesses accrue more and more data about their customers – from their behavioural history to their transactions – being able to use ‘Big Data’ is becoming increasingly key to low-term business success.

- Learn how predictive analytics helps business

Predictive analytics encompasses a variety of statistical techniques in big data analysis and machine learning.

Alongside data science experts at Sungkyunkwan University (SKKU), you’ll get foundational training in the concepts and principles that underlie data science and statistical modelling techniques.

- See how data science can boost business performance

The course will take you through a series of real-world business problems, solving each by using key predictive analytics methods.

These include statistical methodologies and algorithms such as artificial neural networks, clustering, text mining, decision trees, and natural language processing.

- Explore the relationship between predictive analysis and machine learning

You’ll discover the essentials of machine learning, which can be a vital tool in analysing and making use of data.

Discover the difference between supervised machine learning – where you can collect data based on previous experience – and unsupervised machine learning – where you can find new data patterns.

- Gain practical big data skills

Along the way, you’ll learn how to use predictive tools to extract knowledge from data, connect actual business problems with data science solutions, and lead a data science-orientated team.

- 영주닐슨 Nielsen, Youngju 성균관대학교 경영전문대학원 교수 

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주간조선 칼럼니스트

퀀타비움캐피탈 뉴욕 파트너, 최고 투자책임자

•Citi 뉴욕 G10 시스템트레이딩헤드

•JP 모건 뉴욕 채권시스템트레이딩헤드

 문의: 성균관대학교 교무처 교육개발센터 (Center for Teaching & Learning)