About this Course

In today's uncertain economic climate, professionals need to ensure that their business decisions are based on correct factual analysis. This introductory course takes the mystery out of analytics so that you can analyse your data with clarity and precision. By evaluating data using proven statistical business tools and techniques, you learn to make effective, evidence-based business decisions.

This course introduces participants to the basic concepts, logic, and issues involved in statistical reasoning. Major topics include exploratory data analysis, an introduction to statistical prediction, probability, and statistical inference.

How You’ll Benefit From This Course

1. Discuss the elements, concepts and principles of Business Analytics

2. Discuss the importance and process used for defining the business problem

3. Identify the problem or objective of the study or report

4. Identify, collate, analyze, evaluate and interpret big data

5. Represent statistical information using appropriate visuals

6. Able to read, translate and interpret a large amount of data and analytic reports

7. Able to apply some fundamental analytic methodologies to predict based on collected data

Objectives

This module will introduce to students the basic elements of statistics. It is designed to equip students with the statistical research skills from data analysis through manual means and software, data representation and interpretation that will allow them to make informed decisions or projections.

The objectives of this course are to give participants confidence in manipulating and drawing conclusions from data and provide them with a critical framework for evaluating business data.

Upon finishing the course, participants should be:

• Assessing probable outcomes
  
• Making informed decisions from a data subset
  
• Exploiting effective forecasting techniques
  
• Leveraging the power of distributions
  
• Verifying decisions
  
• Assessing performance improvement
  

Course Outline

N

umerical Descriptive Measures & Data Presentation

• Data Spread
  
• Normal Distribution
  

Sampling Methodology

• Probability Sampling
  
• Non-Probability Sampling
  

Central Limit Theorem & Sample Size Determination

Testing Techniques

Forecasting Techniques

Who Should Attend

The course will be useful to those interested in improving their decision-making process, including managers, project managers and business analysts. No prior knowledge of statistics or data analysis is required.

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