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Da Series 1: Getting Started With Data Analytics

SIM Professional Development (SIM PD) is the leading provider for adult learning, training and development for corporate and career development. We provide a wide range of quality executive programmes, corporate training, seminar and workshops in areas of soft skills training, leadership training, sales training, management training, personal effectiveness & productivity, project management training, strategy execution and forumation.

da series 1: getting started with data analytics

Introduction

This module which traces the path of data aims to provide a 360o view of data. It starts with the identification of data, its origins, forms and hygiene and ways of improving it.

Data mining, its ever growing popularity and fast adoption by organisations, the commonly used models and their applications are discussed

The adoption of data analytics which influences the culture and redefining it are explained along with data buzzwords and jargon.

Prerequisite

The learners of this programme are expected to have prior knowledge in:

o Nil

Benefits to You

Business Outcomes

With an understanding of the moving parts of data and analytics, the importance of every role in contributing to the organisation survival and disrupt the playing field is reinforced.

Learning Outcomes

Upon completion of this module, the learner will be able to:

apply good practices to the data that they generate and handle

identify the process and benefits of data analytics

comprehend data analytics buzz words

research on data analytics tools and platforms

apply a case study that reinforces a data centric work culture

explain data mining and its benefits

outline the data mining process

articulate the applications of data mining

choose the appropriate model for the business scenario

apply a case study that reinforces data mining methods

Programme Outline

o Data

o Data Sources

o Data Hygiene

o Data Culture

o Data Analytics

o Jargons and Terminology

o Tools and Platforms

o Case Study

o What?

o Why?

o How?

o Application Areas

As part of the training and learning during this programme, photography and/or video recording of participants in action will be done. 


Who Must Attend

(Level 2) Supervisors, Executive, & Emerging Managers     
(Level 3) New Managers     
(Level 4) Managers

Programme Leader

Koh Cheo Leng started her career in Information Technology evaluating, implementing and supporting IT and productivity related platforms and solutions for MNCs and large corporations.  She then progressed into application solution consulting. For the last 18 years, she has focused on business intelligence, business warehouse and analytics projects and engagements in both end-users’ environments as well as in consulting capacities.

Cheo Leng has business intelligence, business warehouse and analytics experience in diverse industries of consumer products, education, aerospace and defence, energy and utilities, manufacturing and healthcare. This is either by way of a subject matter expert leading the in-house team or as a consultant working hand-in-hand with clients to implement analytics platforms and solutions.

She has deep knowledge in IT landscapes and ecosystems with first-hand experiences in setting up the entire ecosystems for business intelligence/analytics in companies. The end-to-end ecosystems covers the ingestion layers, data stores (data mart/warehouse/data lake), virtualization layers and the visualization tools/platforms.

Registration
 SIM Member Fee  (S$)Non-member Fee  (S$)
  Total Fee (S$)   Total Fee (S$) 
Fee/Pax (S$)GST (S$) including GSTFee/Pax (S$)GST (S$) including GST
Normal Fees850.0059.50909.50960.00        67.201,027.20
Early Bird Fees10% DISCOUNT OFF THE FEES ABOVE
- terms & conditions applies; please call to enquire.
       
Early Bird Fees closing date for the programme :    
Prog Scheduled DateRegister & Pay by
September 27, 201916/08/2019

Enquiries : Grace Tan - 62489414 | 62466746, gracetan@sim.edu.sg