“Every business is an analytics business, every business process is an analytics process and every person is an analytics user” – Gartner
Organisations are beginning to embrace business analytics, with IT and the business partnering to derive maximum value from their data. By 2020, data will digitalize 80% of business processes and products. Operation processes will become digitalized through machine learning. As data mining and business intelligence tools advance, more decisions will be made for your company and they will be based less on personal analysis and more on algorithms, which Gartner is calling automated judgment.
- Singapore: 23 to 26 Oct 2018, 26 to 29 Nov 2018 | Book Now
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|Business Analytics Essentials (BAE) is a 4-Day program designed to allow participants acquire the essential knowledge on how to use business analytics to make better business or organisational decisions.|
|32 hours / 4-Day|
|MODULE 1: Introduction to Business Analytics
|MODULE 2: Different Types of Analytics
|MODULE 3: Data / Information Architecture
|MODULE 4: Data Mining for Business Analytics
|MODULE 5: Data Mining Process
|MODULE 6: Data Mining Techniques
|MODULE 7: Data Mining Tools
|MODULE 8: R and Python Software Tools
|MODULE 9: Hands-On Exercise|
|Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Business Analytics based on the syllabus covered in the course|
|Participants will be recognized as a CASUGOL Certified Professional and awarded a Certificate of Competency in Business Analytics Essentials (BAE) upon meeting the requirements and passing the examination.|
|Who Will Benefit from the Course|
|Business Analytics Essentials (BAE) is designed for participants who are interested in pursuing a career in the areas of Business Analytics / Data Analytics and would like the opportunity to learn in a supportive and encouraging environment.|
This course will equip you with a set of skills that you can draw on to implement the technology in your organisation.
Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.