14 to 16 May 2018
4 to 6 June 2018
9.00 am to 5.00 pm
Computer Laboratory 2 (S13-M-08)
Faculty of Science
Block S13 Mezzanine Level, Science Drive 2
With new technologies and open source programming languages, voluminous amounts of data, collectively called Big Data, are generated by businesses. However, many organisations lack the capabilities to process, store and make sense of Big Data. Python programming is a widely used programming software, while Tableau is a popular data visualisation tool for presenting analytical results in a compelling way. The course will equip you with skills to process data more quickly and cost-effectively. This enables businesses to derive insights from Big Data, to enhance productivity and competitiveness.
• Cancellation before or on 18 April 2018 : Full fee refund
• Cancellation between 19 April 2018 to 4 May 2018 : 50% fee refund
• Cancellation after 4 May 2018 : No refund
• Cancellation before or on 9 May 2018 : Full fee refund
• Cancellation between 10 May 2018 to 25 May 2018 : 50% fee refund
• Cancellation after 25 May 2018 : No refund
Prof Hargreaves is an analytics and business intelligence professional with over 28 years’ analytics experience. She has held leading roles in the pharmaceutical, healthcare, fast moving consumer goods and education industries.
Prof Hargreaves has worked with various leading companies to make businesses more intelligent. These include Pfizer, Novartis, MSD, Nestlè, MasterFoods, Goodman Fielder, Foxtel, Aztec (acquired by IRI), Cegedim Strategic Data (acquired by Quintiles IMS), the National Health and Medical Research Council and the National University of Singapore. Prof Hargreaves’ role includes analytics training, designing of analytics courses, and providing analytics advisory and consulting services. She is also a noted keynote conference speaker.
Prof Hargreaves has a passion for solving business problems using analytics and machine learning techniques to build data-driven solutions. Through faster and smarter business processes, her clients are empowered for organic revenue growth and to make effective decisions.
Dr Gopal graduated with a B.Sc. (Hons) in Mathematics from the National University of Singapore (NUS) in 2001. Upon graduation, he analysed encryption algorithms at the Centre for Strategic Infocomm Technologies. He then pursued his Ph.D. in Statistics at the University of Florida, writing a dissertation on parallel Makov Chain Monte Carlo methods.
He returned to Singapore in 2011 to work for IBM Research, where he worked with Government agencies on data analytics projects focusing on spatio-temporal models.
His research interests are in the areas of computational methods, simulation techniques and exploring data in general. He is a keen R user and regularly organises talks for the R User Group of Singapore, which comprises R language enthusiasts, hobbyists and professionals from diverse backgrounds.
Since joining NUS in 2013, Dr Gopal has received two teaching awards from the Faculty of Science.