MAKING SENSE OF BUSINESS DATA: DESCRIPTIVE ANALYTICS WITH R
DURATION
2 days
NEXT RUN
TBA
FEES
SGD 248.00 after MAX Funding
SGD 2,180.00 (incl. GST)
VENUE
NUS Business School
NUMBER
Lim Si Qi
+65 66018902
GST shall apply at prevailing rates. More info.
OVERVIEW

Use R independently to explore data for better decision making

We are living in the era of big data, with massive amounts of data and algorithms dominating our daily lives. In this fast-paced business environment, enterprises that are able to analyse big data in real-time and leverage the wisdom of the crowds for ideas will have deeper competitive advantages.

To remain relevant in this era, managers and executives will need new skills to understand big data and to derive valuable insights from it.

R is one of the most popular programming languages used for big data analysis, and this course will teach you from scratch, how to start using R.

  • Learn to programme in R
  • Learn key concepts for importing and cleaning data
  • Organise and visualise data effectively to gain business insights
  • Present findings in a structured, meaningful, and convincing way to support decision making

By the end of the course, you will be able to use R independently to explore data for better decisions.

Topic Coverage
  • Fundamental concepts for R programming including data types, data structures and programming structures
  • Data wrangling to change raw data into usable data, including data scraping, data cleaning and data transformation
  • Making sense of data for decision-making, through statistical summaries and spatial visualisations

Case studies will be used throughout the course to help you understand and apply the concepts.

Faculty

liu, qizhang
Associate Professor (Educator Track), Deputy Head of Department
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Professionals, managers and executives interested in learning R programming to make sense of data.

Who Should Attend
DATES AND FEES
Date Venue after MAX Funding (incl. GST) Registration
TBA
NUS Business School SGD 248.00 SGD 2,180.00
Application Procedure & Deadline
Participants are strongly advised to apply at least 2 weeks in advance.

Prerequisites

No programming knowledge required. However, students with programming experience and statistics knowledge will find the course easier to follow.

SkillsFuture Singapore (SSG) Funding Scheme for Singapore Citizens or Permanent Resident (PR)

This programme is eligible for subsidies under SkillsFuture Singapore (SSG). Singaporeans or PR can enjoy up to 70% or more subsidies.

*Click here to find out the details.