Probability and Statistics: Complete Course 2025
What you'll learn
- Descriptive Statistics
- Visualizing Data
- Probability Theory
- Bayesian Statistics
- Discrete Distributions (Binomial, Poisson and More)
- Continuous Distributions (Normal and Others)
- Hypothesis Tests
- Regression
- Type I and Type II Errors
- Chi-Squared Test
Requirements
- No pre-requisites for most of the course. One small optional section requires knowledge and calculus, but other than that this is suitable for beginners.
Description
This is course designed to take you from beginner to expert in probability and statistics. It is designed to be practical, hands on and suitable for anyone who wants to use statistics in data science, business analytics or any other field to make better informed decisions.
Videos packed with worked examples and explanations so you never get lost, and every technique covered is implemented in Microsoft Excel so that you can put it to use immediately.
Key concepts taught in the course are:
Descriptive Statistics: Averages, measures of spread, correlation and much more.
Cleaning Data: Identifying and removing outliers
Visualization of Data: All standard techniques for visualizing data, embedded in Excel.
Probability: Independent Events, conditional probability and Bayesian statistics.
Discrete Distributions: Binomial, Poisson, expectation and variance and approximations.
Continuous Distributions: The Normal distribution, the central limit theorem and continuous random variables.
Hypothesis Tests: Using binomial, Poisson and normal distributions, T-tests and confidence intervals.
Regression: Linear regression analysis, correlation, testing for correlation, non-linear regression models.
Quality of Tests: Type I and Type II errors, power and size, p-hacking.
Chi-Squared Tests: The chi-squared distribution and how to use it to test for association and goodness of fit.
Much, much more!
It requires no prior knowledge, with the exception of 2 optional videos at the end of the continuous distribution chapter, in which knowledge of calculus is required).
Who this course is for:
- Data Scientists
- Business Analysts
- Business Students
- People studying Statistics
- Anyone looking to power their decision making with a thorough understanding of statistics.
Instructor
- 4.7 Instructor Rating
- 2,662 Reviews
- 17,893 Students
- 18 Courses
After finishing my studies at Oxford University I worked for a year in India before moving to London, which is where I have been ever since.
I have taught mathematics in some of the best performing schools in the country for over 10 years, where I have taught all levels of school maths, including GCSE, A-Level, Further Maths and Oxbridge entrance paper preparation. I also have 1000's of hours of tutoring experience working one-to-one with students on A-level maths and further maths.
Alongside this I have worked with businesses to train their staff in mathematical skills, such as statistics, data analysis and mathematical software packages.
Away from my work I love music and long-distance cycling, and recently cycled from London to Istanbul.