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Da Series 5: Data Mining For Sharper Decision Making
This module deep-dive into the data mining process, data mining models to support business decisions and its deployment.
The learners of this programme are expected to have prior knowledge in:
- Basic knowledge of programming and/or scripting principles (e.g. using variables, logical operators, if ... then control, loops, ...)
- Intermediate knowledge of data concepts (e.g. equivalent of intermediate to advanced knowledge of using spreadsheets)
- Basic to intermediate knowledge of how to retrieve data from relational databases using SQL
- Basic to intermediate business mathematics and statistics or equivalent
Participants will understand data mining models and assist their organisations in formulating decisions from these models.
Upon completion of this module, the learner will be able to:
- apply the data mining process to a business case
- select suitable data models to support decision making
- create, test and train models of regression, association, clustering, classification analytics
- deploy data models using CRISP-DM
Data Mining Process
o Association Analysis
o Clustering Analysis
o Decision Trees
o Classification Analysis
o Anomaly Detection
o Model Evaluation
o Model Deployment
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
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|
|February 21, 2020||10/01/2020|
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.