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Da Series 2: Applying The Data Analytics Process
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.
The learners of this course are expected to have prior knowledge in:
o Basic knowledge of data and its application in an organisation
o Some business domain
Participants are taught the Data Analytics Process and apply the techniques to obtain insights to problems statements for data driven decisions.
Upon completion of this module, the learner will be able to:
o classify data according to key attributes
o contrast the different ways to present data
interpret the measurements of data
o apply a case study that reinforces the best practices in presenting data
o investigate problem statements in the correct context
o gather the requirements to resolve problem statements
o explore the data sources needed to support the problem statement
o prepare the data model suitable for analysis
o create dashboards to present the insights
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 Data Exploration
o Ready-to-use Data
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.
(Level 2) Supervisors, Executive, & Emerging Managers
(Level 3) New Managers
(Level 4) Managers
(Level 5) Senior Managers & Directors
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.
|SIM Member Fee (S$)||Non-member Fee (S$)|
|Total Fee (S$)||Total Fee (S$)|
|Fee/Pax (S$)||GST (S$)||including GST||Fee/Pax (S$)||GST (S$)||including GST|
|Early Bird Fees||10% DISCOUNT OFF THE FEES ABOVE|
|- terms & conditions applies; please call to enquire.|
|Early Bird Fees closing date for the programme :|
|Prog Scheduled Date||Register & Pay by|
|November 1, 2019||20/09/2019|
Enquiries : Grace Tan - 62489414 | 62466746, email@example.com
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 firstname.lastname@example.org 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.