About this course
Quantitative analysis, regression and time series is a course that helps accountants and finance professionals use statistical methods with confidence in everyday business analysis and decision-making.Starting from the fundamentals, so no prior statistics knowledge is assumed, it builds from probability and sampling through to regression, forecasting and simulation, showing how these techniques can be used to understand cost behaviour, test business assumptions, forecast performance and assess risk under uncertainty. Throughout, the emphasis is on applying the methods to realistic business scenarios, interpreting results sensibly and recognising their limitations, and communicating findings clearly, including when reviewing analysis or forecasts produced by software and AI tools.
By completing this course, you will understand how to:
- define probability distributions and explain how random variables are used in quantitative analysis
- apply sampling techniques and perform hypothesis tests to draw conclusions from data
- apply simple and multiple regression models and interpret their outputs
- describe time series components and apply methods for analysing trends and seasonality
- explain Monte Carlo simulation and bootstrapping techniques for financial modelling
- evaluate the assumptions underlying regression models and assess when they are violated.
Modules included in this course
- Probability and random variables
- Sampling and hypothesis testing
- Regression
- Time series
- Simulation and bootstrapping.
Key information
- This course consists of multiple modules and units. Each module includes video lectures, reading materials, quizzes and practical examples to enhance your understanding.
- You should be comfortable with basic statistics (means, standard deviation, probability) and simple algebra. The course explains the quantitative methods in a structured way, but some mathematical confidence is expected..
- This course is aimed at finance professionals who need to apply statistical methods in their work, risk analysts using regression, simulation, or time series analysis, and accountants and analysts who want to build quantitative skills for data-driven decision-making.
- No specialist software is required, though spreadsheet experience is helpful.
- CPD certificate is available upon successful completion of the course.
- Course produced by Learnsignal.
