Updating Results

Principles of Business Analytics

  • Non-Award

This course introduces students to statistical analysis and information systems, focusing on their role in business decision-making. It covers topics such as descriptive statistics, probability, hypothesis testing, and linear regression, utilizing Microsoft Excel for data analysis.

Key details

Degree Type
Non-Award
Course Code
FEL1174
Intake Months
Apr, Sep

About this course

Overview

This is a fundamental subject where students are introduced to the basics of statistical analysis and information systems. This subject covers the role of information systems in making business decisions, descriptive statistics, probability, probability distributions, hypothesis testing techniques, and linear regression. This subject utilizes Microsoft Excel in analyzing the data based on basic business intelligence.

On completing the course, students will be able to:

  • Examine the role of statistical analysis and information systems in business decision-making.
  • Employ statistical concepts and its applications for data modelling and business decision-making.
  • Analyze the appropriateness of various statistical inference techniques to propose relevant data-driven solutions.
  • Demonstrate the ability to use Microsoft Excel to address business problems effectively.

What you will learn

Overview

This is a fundamental subject where students are introduced to the basics of statistical analysis and information systems. This subject covers the role of information systems in making business decisions, descriptive statistics, probability, probability distributions, hypothesis testing techniques, and linear regression. This subject utilizes Microsoft Excel in analyzing the data based on basic business intelligence.

On completing the course, students will be able to:

  1. Examine the role of statistical analysis and information systems in business decision-making.
  2. Employ statistical concepts and its applications for data modelling and business decision-making.
  3. Analyze the appropriateness of various statistical inference techniques to propose relevant data-driven solutions.
  4. Demonstrate the ability to use Microsoft Excel to address business problems effectively.