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Analysing Data with Python Programming and Tableau

Dates

14 to 16 May 2018

4 to 6 June 2018

Time

9.00 am to 5.00 pm

Venue

Computer Laboratory 2 (S13-M-08)
Faculty of Science
Block S13 Mezzanine Level, Science Drive 2
Singapore 117543

Overview

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.

Who Should Attend?

If you are new to programming, or wish to learn more about data science but lack formal training in mathematics, statistics or computer programming, this course is for you!

The course accommodates and challenges participants from different backgrounds. Thus, undergraduate and postgraduate students, and industry professionals from all disciplines can register.

Outcomes

Participants will acquire the following skills at the end of the course:

Understanding how data science adds value to business decision-making

Visualising data for decision-making and impactful presentations

Making sense of data using simple statistical techniques

Analysing your data using Python programming

COURSE FEES

This includes course materials, lunch and tea breaks.

Normal

$ 1,500
(excluding GST) 
  • Before 9 May 2018

Early bird

$ 1,250
(excluding GST) 
  • Before 1 May 2018

Participants who complete the workshop will be awarded a Certificate of Participation.

NUS Faculty of Science reserves the right to postpone or cancel the workshop by giving 28 days notice prior to the start of the workshop.

For 14 May 2018 – 16 May 2018 course

    • 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


For 4 June 2018 – 6 June 2018 course

    • 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

PROGRAMME

The course will cover the following topics:

  • Cutting-edge programming tools used in the data science field

  • Impact of data science on businesses e.g. cost reduction, time savings,
    enhanced profitability etc.

  • Critical role of data scientists in solving business problems

  • Types of business questions to ask, to facilitate decision-making



INSTRUCTORS

Prof Carol Hargreaves

Director, Data Analytics Consulting Centre
Faculty of Science
National University of Singapore

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 Vik Gopal

Deputy Director, Data Analytics Consulting Centre
Faculty of Science
National University of Singapore

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.

SIGN UP NOW!

GETTING HERE

BY MRT/BUS

From Clementi MRT Station


From Buona Vista MRT Station

BY CAR

If you are driving, you can park your car at the following car parks:
University Hall Car Park 6B – Closer to venue but limited car park slots available
Visitors Car Park 10 – Further from venue and required to walk

Click on the "Direction" link in the google map below.

University Hall Car Park 6B



Visitors Car Park 10

Block S13 Mezzanine level are accessible through S13-Stair 18A from S13 Level 2 (next to S13-02-05). Please call 65168050 if you need assistance with the directions.

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Address
Data Analytics Consulting Centre Block S16, Level 7
6 Science Drive 2
Faculty of Science
National University of Singapore Singapore 117546

dacc@nus.edu.sg

Business Hours 
Monday to Thursday:
8.30 am – 6.00 pm
Friday:
8.30 am – 5.30 pm