WOLFRAM MATHEMATICA UPSKILL PROGRAM
Wolfram Mathematica system has been a central tool for higher education across a variety of STEM disciplines, used by all the top 200 universities worldwide. It provides the best suite of computational products for researchers, educators, and students on and off campus—across fields.

Now is the time for us to further upskill and unleash the power-packed Wolfram Mathematica technology. You may attend individual module, or you could take all of them as a bundled package with a very special time-limited offer—RM399 for all!
 
*Classes can be arranged for a group of minimum 10 participants. 
Sign in to Google to save your progress. Learn more
Email *
Program Schedule

MODULE A: LECTURING, PRESENTING, & DEPLOYING MADE EASY - RM110/pax
03-Nov-22 (Th)  10AM-1130AM  AI knowledgebase engine & interactive contents for presentation.
04-Nov-22 (Fr)  10AM-1130AM  Data visualizations, plotting and graphing
10-Nov-22 (Th)  10AM-1130AM  Wolfram notebook for teaching and web-deployment
11-Nov-22 (Fr)  10AM-1130AM  Computational thinking for teaching & learning
 
MODULE B: ARTIFICIAL INTELLIGENCE WITH MACHINE LEARNING MADE EASY - RM299/pax
14-Nov-22 (Mo)  2PM-6PM  Intro to predictive analytic with machine learning
15-Nov-22 (Tu)  2PM-6PM  Supervised machine learning & correlation analysis  
16-Nov-22 (We)  2PM-6PM  Validation, testing, & accuracy measurement  
17-Nov-22 (Th)  2PM-6PM  Unsupervised machine learning
18-Nov-22 (Fr)  2.30PM-6PM  Setting up for template development

MODULE C: DATA ANALYTICS MADE EASY - RM110/pax
24-Nov-22 (Th)  10AM-1130AM  Applied statistics & probability for science, engineering, & business
25-Nov-22 (Fr)  10AM-1130AM  Data handling and visualizations
02-Dec-22 (Fr)  10AM-1200PM  Probability and probabilistic distributions

MODULE D: GRAPH ANALYTICS MADE EASY - RM110/pax
08-Dec-22 (Th)  10AM-1130AM  Applying graph, trees, network, and logic Part 1
09-Dec-22 (Fr)  10AM-1130AM  Applying graph, trees, network, and logic Part 2
16-Dec-22 (Fr)  10AM-1130AM  Applying graph, trees, network, and logic Part 3

MODULE E: PROGRAMMING ENTHUSIASTS - RM110/pax
22-Dec-22 (Th)  10AM-1230PM  Integration with R & Python
23-Dec-22 (Fr)  10AM-1200PM  Data handling and Integration to external databases

Check on the Modules you could attend. *
Required
First Name (Given Name) *
Last Name (Surname) *
Organization or University Name *
Faculty / Department *
Faculty / Department (if select Other at previous question)
What best describes you? *
Mobile Number/WhatsApp to receive registration info *
( with country code, eg +6019******* )
Promo Code / Referral Name (Fill only if you are referred by the below person who signed up / completed this crash course before.)
Payment Methods
1. You may choose to remit your payment to the following account
OEMS IntiPakar Corporation Sdn Bhd
Bank Account:
PUBLIC BANK BERHAD, Account no:  3158015412  Bank Swift Code: PBBEMYKL.
Bank Address: NO. 306 JALAN BESAR, PANDAMARAN, 42000 PORT KLANG, SELANGOR. Malaysia. Tel: +603-3167 2830

2. You may choose to transfer your payment via E-payment QR code as below

3. WhatsApp your transfer receipt to https://wa.link/123nku
Scan the QR code for e-Payment
A copy of your responses will be emailed to the address you provided.
Submit
Clear form
Never submit passwords through Google Forms.
reCAPTCHA
PrivacyTerms
This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy
Google Forms