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Da Series 1: Getting Started With Data Analytics
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.
The learners of this programme are expected to have prior knowledge in:
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.
Upon completion of this module, the learner will be able to:
o apply good practices to the data that they generate and handle
o identify the process and benefits of data analytics
o comprehend data analytics buzz words
o research on data analytics tools and platforms
o apply a case study that reinforces a data centric work culture
o explain data mining and its benefits
o outline the data mining process
o articulate the applications of data mining
o choose the appropriate model for the business scenario
o apply a case study that reinforces data mining methods
o Data Sources
o Data Hygiene
o Data Culture
o Data Analytics
o Jargons and Terminology
o Tools and Platforms
o Case Study
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.
(Level 2) Supervisors, Executive, & Emerging Managers
(Level 3) New Managers
(Level 4) Managers
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|
|September 27, 2019||16/08/2019|
Enquiries : Grace Tan - 62489414 | 62466746, firstname.lastname@example.org
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 email@example.com 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.