Probability and Statistics: Complete Course 2025
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Created by Woody Lewenstein | 16.5 hours on-demand video course
Probability Course Overview
Probability and Statistics: Complete Course 2025
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).
What you’ll learn
- 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!
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Probability and Statistics Course Reviews
Everything You Need to Know About Probability and Statistics: Complete Course 2025
This course offers a comprehensive and well-structured introduction to Probability. Woody Lewenstein, the instructor, brings a wealth of expertise in Data Science, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Probability and Statistics Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, Woody Lewenstein explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Probability and Statistics: Complete Course 2025 to anyone looking to learn Probability This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
