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 Data Analytics Green Belt

Public Workshop – In-house Workshop – Live Webinar

“The goal is to turn data into information and information into insight.”  Carly Fiorina

Business decisions are based on data. In order to make correct business decisions, this data must be sourced and collected in a reliable, representative way, analysed in a statistically proven manner and presented with means that support clear deductions. A Green Belt in Data Science is able to setup and test data collection methods. This Green Belt has the tools and techniques to analyse data and visualise it, so that decisions can be made. This course is tailored for beginners in data science.

This course builds the foundation and pre-requisite for the advanced course Black Belt in Data Science.

Four Analytics Concepts Every Manager Should Understand (Gallo, 2018).

Data Analytics - Data Science

Learning Objectives

By the end of this five-day workshop, you will be able to:

  • Decide whether and where Data Analytics is applicable at your organisation.
  • Prepare, analyse, and apply data science and data analytics.
  • Develop and evaluate testing methods for statistical models.
  • Select and apply basic to intermediary graphical and statistical analysis techniques and translate the result into business insights.

Topics Covered

Amongst others, the following topics will be covered:

  • Understanding to Data Analytics and Data Science.
  • Data sources and collection methods.
  • Descriptive statistics.
  • Predictive statistics.
  • Prescriptive statistics.
  • Data visualisation for decision making.

Recommended for

Data Analysts and Data Scientists who are tasked to run basic and intermediate data analytics projects for their organisation.

About the Facilitator

Dr Uwe H Kaufmann and Amy BC Tan supported by COE-Partners colleagues.

Registration and Enquiry

Price/Pax:  SGD 2,388.00 for 5 days.
If required, this course can be customised.

Public Workshop: TBD

For enquiries and registration, kindly contact us at Tel +65 6100 0263 or WhatsApp +65 9068 1578 or Email Wo******@CO**********.com.

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