Why Attend this Course?

Even though there is an abundance of data available for decision-making it is still difficult to translate data into actionable information.

This course will provide participants will tools and techniques that can be used to convert raw data into well-informed decisions.

Decisions are made based on the analysis without knowing how the underlying data looks.

‘Knowing the data’ is a precursor to decision-making.  This course will introduce an organized and structured approach to looking at the raw data and understand how it is transformed to actionable information.

What Makes this Course Stand Apart?

A case study approach using examples you are likely to encounter in the workplace.

The course maintains a focus on the interpretation of the results of an analysis to make decisions.

What You Will Learn

Upon completion of this course you will be able to:

  • Describe how various analytical techniques and statistical models can help enhance 
decision making by converting data to knowledge;
  • Select the appropriate statistical tools for the business question;
  • Apply statistical models to real decision challenges; and,
  • Support decisions by effectively communicating results of data analysis.

Audience

  • Business Analyst (IT and non-IT)
  • Business Managers
  • Project Leaders
  • Systems Analyst
  • Data Analyst

Prerequisites

The structure of the courses assumes no prior experience in statistics or data analytics. 

Duration

1 day

Outline for Data Based Decision-Making

1. Introduction to Data Mining

  • Descriptive and Predictive
  • Models and Algorithms
  • Regression vs. Classification
  • Supervised/Unsupervised Learning
  • Data Mining Examples

2. Data Analytics Framework

  • Following a Process
  • Potential Data Problems
  • Analyzing and Exploring the Data

3. Data Mining Methods

  • Descriptive Methods
  • Clustering
  • Association Rules
  • Sequence Rules
  • Predictive Methods
  • Classification
  • Regression
  • Deviation Detection