Tracks
Quantitative Analysis, Regression, and Time Series
Probability, Hypothesis Testing, Regression, Time Series, and Simulation
12 CPD credits on completion
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Certificate on completion
Downloadable resources
Self-paced learning
About This Course
Course Information
Certificate on Completion
This course is made up of videos, questions and additional reading materials and accounts for 12 units of CPD. One unit is the equivalent of one hour of learning. A certificate will be issued once you have completed all 12 units.
Course Sections
This track is made up of the following sections:
- Probability and Random Variables (2 units)
- Sampling and Hypothesis Testing (2 units)
- Regression (4 units)
- Time Series (2 units)
- Simulation and Bootstrapping (2 units)
What You Will Learn
- 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
Who This Course Is For
- Finance professionals who need to apply statistical methods in their work
- Risk analysts using regression, simulation, or time series analysis
- Accountants and analysts who want to build quantitative skills for data-driven decision-making
Prerequisites
- A basic understanding of statistics, including means, standard deviation, and probability
- Familiarity with mathematical notation and basic algebra
- No specialist software is required, though spreadsheet experience is helpful
Frequently Asked Questions
Course Details
CPD Credits12
CertificateYes
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CPD certificate on completion
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