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GICT Business Analytics Certification

Up to 90% funding (T&Cs apply)

Courses are delivered by GICT only in Singapore. For other locations, contact our authorised partners directly by clicking here.

What is Business Analytics (BA)?

Business Analytics is a study of statistical and operational information given out/produced by any organization or a business. It requires quantitative methods and evidence-based data for business modeling and decision making. For example, such data could be from a sales department cross checked with marketing department and production department in a given company. Once the analysis is complete, the conclusion/the solution/the prediction will be modeled back into business operations to maximize the output. Hence the term ‘data driven’ organizations / businesses emerge.

How can our Business Analytics course help you?

Business Analytics course by GICT Training in Singapore, is specially designed to identify your targeted role in a company and suggest the most suitable Certification program to help you move to the next phase in your career.

Course Outline

  • Unit 1: Introduction to Business Analytics
  • Unit 2: Types of Analytics
  • Unit 3: Data/Information Architecture
  • Unit 4: Data Quality in Analytics
  • Unit 5: Data Mining and Analytics
  • Unit 6: Data Mining Process
  • Unit 7: CRISP-DM Standard
  • Unit 8: Data Mining Techniques
  • Unit 9: Data Mining Tools
  • Unit 10: Software Tool

Course Outcome

  • Introduction to Business Analytics and its impact on enterprises with several use cases.
  • Gain a complete understanding of Existing Data Architecture across several organisations and how Big Data Technologies are stacked together
  • Gain a solid foundation in the statistical and analytical methods that make up the backbone of data science
  • Learn key predictive modelling techniques and apply them to solve real life problems.
  • Get Skilled in using popular Data Mining Tool: Rapid Miner and implement key algorithms including text analytics.

Business Analytics Certification Courses

Certified Business Analytics

Certified Business Analytics Associate (CBAA)

GICT Certified Business Analytics Associate(CBAA) course covers the concept of Business Analytics and its strategic importance to any organization.

Duration: 32 hours (4 days)

Business Analytics Certification

Certified Business Analytics Specialist (CBAS)

GICT Certified Business Analytics Specialist course covers the concept of Business Analytics and its strategic importance to any organization.

Duration: 32 hours (4 days)

Business Analytics Training

Certified Predictive Modeler (CPM)

GICT Certified Predictive Modeler course (CPM) covers the concept of business analytics with more focus on predictive analytics and its importance to any business organization.

Duration: 32 hours (4 days)

Business Analytics Training & Certification

Certified NoSQL Analyst (CNA) – MongoDB

GICT Certified NoSQL MongoDB course focuses on MongoDB to implement different ways to store and handle data that can be modeled as a document format. 

Duration: 32 hours (4 days)

Testimonials

“During this difficult time, GICT Training was able to arrange the training and certification programs at short notice, and the virtual delivery of training didn’t affect the transfer of knowledge, in my opinion. I’m impressed.”
Michelle Chu - GICT Training
Michelle Chu
Application Manager, Pacific International Lines
“GICT CBDSA (Big Data Science) program gave insights of big data technologies used extensively in today's world. The Principal Trainer was experienced and was able to clarify doubts promptly.
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Manoj Bhardwaj
Manoj Bhardwaj
Project Director, NeoXam
“GICT CBAS (Business Analytics) provides a good learning opportunity to anyone who would like to acquire knowledge on business analytics. The course was conducted professionally with comprehensive course materials Read More
Jazin Wee
Jazin Wee
Singapore Management University (SMU)
“GICT CBAS (Business Analytics) training has broadened my knowledge on data analytics. The Principal Trainer is also very nice and friendly.”
Ong Yiren
Ong Yiren

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