Quantitative Analysis
Quantitative analysis refers to the use of mathematical and statistical techniques to examine measurable data and make informed decisions. In a business context, it involves analysing numerical data such as sales figures, financial records, market trends, and operational statistics to identify patterns, assess performance, and forecast future outcomes. This approach helps businesses make evidence-based decisions, manage risks, and optimise strategies. Common tools used in quantitative analysis include spreadsheets, financial models, and statistical software. It plays a vital role in areas such as budgeting, investment evaluation, pricing strategies, and business planning.
The use of numbers and data to support business decisions.
This phrase refers to the process of using measurable information—such as sales figures, financial data, and market statistics—to guide decision-making in a business. It involves collecting, analysing, and interpreting data to understand performance, identify trends, and choose the best course of action. This method helps businesses make choices based on facts and evidence rather than guesswork or intuition.
Which key skills will a person gain after completing Quantitative Analysis Online Course?
Data Interpretation – Ability to read and understand graphs, charts, tables, and statistical data.
Mathematical Reasoning – Apply mathematical methods to solve real-world business problems.
Statistical Analysis – Use of statistical tools to analyse trends, probabilities, and relationships in data.
Problem Solving – Approach business challenges using logical, data-driven methods.
Decision-Making – Make informed business decisions based on quantitative evidence.
Financial Analysis – Calculate and interpret financial metrics like profit margins, return on investment (ROI), and break-even points.
Use of Technology – Competence in using tools such as Excel, spreadsheets, and statistical software.
Critical Thinking – Evaluate data and methods to ensure accuracy and relevance to business goals.
Reporting and Communication – Present data findings clearly through charts, summaries, and business reports.
- Forecasting and Planning – Predict future business performance using data trends and models.
Overview
Mathematics is used to manage various financial instruments like insurance, stocks, bonds while helping understand situations like home loans, annuities, and optimising profit through cost analysis.
Description
Mathematics is used to manage various financial instruments like insurance, stocks, bonds while helping understand situations like home loans, annuities, and optimising profit through cost analysis. Additionally, it enables debates on economic aspects such as tax, productivity, and fair resource distribution at both national and global levels.
Course Content
- Plans are sufficient to ensure effective control of financial instruments
- Calculations are carried out using computational tools efficiently and correctly and solutions obtained are verified in terms of the context
- Measures used for control purposes are appropriate to the need and are in line with control plans
- The differences between simple and compound interest are described in terms of their common applications and effects
- Methods of calculation are appropriate to the problem types
- Computational tools are used efficiently and correctly and solutions obtained are verified in terms of the context or problem
- Solutions to calculations are used effectively to define the changes over a period of time
- Values are calculated correctly
- Mathematical tools and systems are used effectively to determine and describe the relationships between the various aspects of costs and revenue
- Terminology is used in the correct context
- Reasonable methods are described for the control of costs and optimisation of profits in relation to given data
- Values are calculated correctly
- Mathematical tools and systems are used effectively to determine, compare and describe aspects of the national and global economy
- Debating points are based on well-reasoned arguments and are supported by mathematical information
- Non-accredited: Short course only
- Duration: 1h 40m
- Delivery: Classroom/Online/Blended
- Access Period: 12 Months
