Business Analytics with Visualization (14 hrs)

Course Code: BA-BAWV-02

We have seen an increased use of data to facilitate business decisions in recent years. It is becoming vital in the decision-making process. There is also a demand for specialists who can introduce new technologies and techniques to create a data-driven organisation in a dynamic environment.

This course provides an overview of the fundamental Business Analytics concepts with an understanding of the applications for process mining to improve business decision-making and business performance.

  • Understand the full data analytics process
  • Able to process data with various datasets, manage missing dataset, and use data exploration
  • Learn about the inference statistics – confidence interval and hypothesis tests for business decisions
  • Design Dashboard using data visualization principles
  • Hands-on training is provided

Data Analytic process : Data preparation

  • Examine the various types of data available and the importance of data types
  • Understand data management relating to the gathering and processing of data, as well as techniques to handle missing data
  • Identify the relevant data needed for operations and business decisions

Data Analytic process

  • Distinguish between analysis (data mining process) and analytics (tool for performing analysis)
  • Perform data mining analysis to obtain information needed for decision-making
  • Applications of data analytic
  • Understand the relationship between the data mining process and business operations
  • Understand the process mining concept in relation to business decision

Inference statistics

  • Understand the concepts of confidence level
  • Introduction to hypothesis testing and how it applies to business scenarios
  • Application of the confidence level and hypothesis testing through Excel

Data visualization

  • Making sense of data visualization
  • Transform complex data to fit into various charts
  • Apply visualization principles to design Dashboards

Participants will learn through lectures, case studies, exercises, and examples to gain deeper understanding and insights on the topics covered.

The tool and example include:

  • Usage of Microsoft Excel
  • United Airlines case study

This course is suitable for managers, engineers, and executives making analysis or decisions through data in various industries.

Duration: 2 days (14 hrs)
Time: 9:00am – 5:00pm

Course Fee : $850.00
Nett Fee Incl. 7% GST : $909.50

Key Benefits
  • Understand the full data analytics process
  • Able to process data with various datasets, manage missing dataset, and use data exploration
  • Learn about the inference statistics – confidence interval and hypothesis tests for business decisions
  • Design Dashboard using data visualization principles
  • Hands-on training is provided
Course Contents

Data Analytic process : Data preparation

  • Examine the various types of data available and the importance of data types
  • Understand data management relating to the gathering and processing of data, as well as techniques to handle missing data
  • Identify the relevant data needed for operations and business decisions

Data Analytic process

  • Distinguish between analysis (data mining process) and analytics (tool for performing analysis)
  • Perform data mining analysis to obtain information needed for decision-making
  • Applications of data analytic
  • Understand the relationship between the data mining process and business operations
  • Understand the process mining concept in relation to business decision

Inference statistics

  • Understand the concepts of confidence level
  • Introduction to hypothesis testing and how it applies to business scenarios
  • Application of the confidence level and hypothesis testing through Excel

Data visualization

  • Making sense of data visualization
  • Transform complex data to fit into various charts
  • Apply visualization principles to design Dashboards
Learning Methodology

Participants will learn through lectures, case studies, exercises, and examples to gain deeper understanding and insights on the topics covered.

The tool and example include:

  • Usage of Microsoft Excel
  • United Airlines case study
Who Should Attend

This course is suitable for managers, engineers, and executives making analysis or decisions through data in various industries.

Course Details

Duration: 2 days (14 hrs)
Time: 9:00am – 5:00pm

Course Fee : $850.00
Nett Fee Incl. 7% GST : $909.50

Course Application

Details Registration
February 26, 2020 - February 27, 2020 (9:00 am - 5:00 pm) Closed
August 19, 2020 - August 20, 2020 (9:00 am - 5:00 pm) Register Now
November 11, 2020 - November 12, 2020 (9:00 am - 5:00 pm) Register Now