Business Analytics MasterClass

“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.

COURSE OBJECTIVE

Business Analytics MasterClass is a course on how to use business analytics to make better business or organisational decisions.

logocgreenfb BAM01 – Business Analytics MasterClass
28 August 2017 to 31 August 2017
Singapore
More Information | Register Now 
COURSE DURATION

4 Days

COURSE OUTLINE
    • Introduction to Business Analytics
      • Concepts of Business Analytics
      • Importance and advantages of Business Analytics
    • Different Types of Analytics
      • Predictive Analytics, Descriptive Analytics, and Prescriptive Analytics
      • Text Analytics and Web Analytics
      • Different Application of analytics method
    • Data / Information Architecture
      • Data / information architecture
      • Data Warehousing
      • Business intelligence
      • Application of Analytics in an Organisation Scenario
    • Quality of Data for Business Analytics
      • Different types of data for analytics
      • Data Security and Privacy
      • Data Governance
      • Data Structures and Data Sets
    • Data Mining for Business Analytics
      • Fundamentals of Data Mining
      • Objectives of Data Mining
      • Key aspects of Data Mining
    • Data Mining Processes
      • Concepts of KDD
      • Various models in Data Mining
      • Data Mining Model vs Statistical Model
      • Data Mining Processes
    • Data Mining Techniques
      • Supervised Machine Learning Models
      • Unsupervised Machine Learning Models
      • Statistical Models
      • Regression Models
      • Clustering and Predictive Analytics
    • Tools for Data Mining
      • Tools for Data Mining
      • Data Mining Software Tools standards
      • Advantages and disadvantages of respective tools
    • R and Python Software Tools
      • Introduction to R and Python
      • Features of R and Python
      • Exploration of Use Cases with R and Python
Tools / software used

R, Python

WHO WILL BENEFIT FROM THIS COURSE?

This course is designed to assist those people interested in the security aspect of Business Analytics. The Business Analytics MasterClass is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation.

Class is limited to 20 attendees as hands-on sessions and real-time demonstration is expected.

 

COURSE OUTCOMES

On completion of this Business Analytics MasterClass, attendees will have a robust set of Business Analytics skills that can be applied to any work setting.

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