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Da Series 2: Applying The Data Analytics Process

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 2: applying the data analytics process

Introduction

This module builds the participants’ foundation of data; deepening their knowledge in the perspective of data viewed through different lenses and equips them with an in-depth knowledge of the data analytics process, principles of data visualisation and practical experience in applying these principles to create dashboards using Qlik Sense.

Prerequisite

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

Basic knowledge of data and its application in an organisation

Some business domain

Benefits to You

Business Outcomes

Participants are taught the Data Analytics Process and apply the techniques to obtain insights to problems statements for data driven decisions.

Learning Outcomes

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

classify data according to key attributes

contrast the different ways to present data

 

interpret the measurements of data

apply a case study that reinforces the best practices in presenting data

investigate problem statements in the correct context

gather the requirements to resolve problem statements

explore the data sources needed to support the problem statement

prepare the data model suitable for analysis

create dashboards to present the insights

Programme Outline

o Classifying Data

o Presenting Data

o Visualizing Data

o Measuring Data

o Interpreting Data

o Case Study

o Data Analytics Process

o Problem Statement/Use Case

o Requirements

o Data Exploration

o Ready-to-use Data

o Insights

o Case Study

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
(Level 5) Senior Managers & Directors

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 Fees850.0059.50909.50960.0067.201,027.20
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
November 1, 201920/09/2019

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

Foreign participants sponsored by their companies, GST is not applicable. If payment is made by a Singapore-registered company, GST will apply.

Non-members are welcome to sign up for SIM membership to enjoy the discounted rate. To sign up for SIM Membership, please visit www.pd.sim.edu.sg/membership/overview, email membership@sim.edu.sg or call 6248 9489. To register for the programmes now, select the preferred programme run-dates below through the register icon. "Register", which will bring you to the registration page.

DateTimeVenueRegistration Closing Date 
01/11/2019 - 01/11/201909.00 am - 5.00 pmSIM Management House, 41 Namly Avenue, Singapore 267616Oct 18, 2019 Register