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Probability & Statistics courses

Probability and statistics courses explore mathematical concepts for analyzing random events and interpreting data through models and inference. Use tools such as Python, R, Excel and Google Sheets to apply your theoretical knowledge in statistics.

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Recommended for Probability & Statistics beginners

Build your Probability & Statistics skills with interactive courses, curated by real-world experts

课程

Introduction to Statistics in R

中级技能水平
4.4+
4.5K
4 小时
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

学习路径

Statistician in R

919
52 小时
A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

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课程

Experimental Design in R

中级技能水平
4.3+
418
4 小时
In this course youll learn about basic experimental design, a crucial part of any data analysis.

课程

Anomaly Detection in Python

中级技能水平
4.6+
392
4 小时
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

课程

Foundations of Probability in Python

中级技能水平
4.5+
385
5 小时
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

课程

Inference for Numerical Data in R

高级技能水平
4.4+
308
4 小时
In this course youll learn techniques for performing statistical inference on numerical data.

课程

A/B Testing in R

中级技能水平
4.4+
291
4 小时
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

课程

Factor Analysis in R

高级技能水平
4.5+
278
4 小时
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

课程

Analyzing Survey Data in R

中级技能水平
4.3+
272
4 小时
Learn survey design using common design structures followed by visualizing and analyzing survey results.

课程

Survival Analysis in R

中级技能水平
4.7+
248
4 小时
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

课程

Statistical Simulation in Python

中级技能水平
4.7+
245
4 小时
Learn to solve increasingly complex problems using simulations to generate and analyze data.

课程

Advanced Probability: Uncertainty in Data

高级技能水平
4.5+
243
2 小时
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

课程

Error and Uncertainty in Google Sheets

中级技能水平
4.4+
237
4 小时
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

课程

Network Analysis in R

中级技能水平
4.6+
204
4 小时
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

课程

Foundations of Inference in Python

高级技能水平
4.4+
195
4 小时
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

课程

Survival Analysis in Python

高级技能水平
4.5+
194
4 小时
Use survival analysis to work with time-to-event data and predict survival time.

课程

Discrete Event Simulation in Python

高级技能水平
4.6+
138
4 小时
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

课程

Practicing Statistics Interview Questions in R

高级技能水平
4.4+
117
4 小时
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

课程

Case Studies in Statistical Thinking

中级技能水平
4.7+
114
4 小时
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Probability & Statistics 相关资源

博客

How to Become a Statistician in 2026

Curious about how to become a statistician? Find out what a statistician does, what you need to get started, and what you can expect from this career.
Joleen Bothma's photo

Joleen Bothma

10分钟

教程

An Introduction to Statistical Machine Learning

Discover the powerful fusion of statistics and machine learning. Explore how statistical techniques underpin machine learning models, enabling data-driven decision-making.
Joanne Xiong's photo

Joanne Xiong

11分钟

教程

T-tests in R Tutorial: Learn How to Conduct T-Tests

Determine if there is a significant difference between the means of the two groups using t.test() in R.
Abid Ali Awan's photo

Abid Ali Awan

10分钟

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    Frequently asked questions

    How does probability and statistics related to data science?

    Probability and statistics are foundational to data science, offering the tools and frameworks necessary for analyzing data, making predictions, and deriving meaningful insights. They enable data scientists to understand patterns, assess uncertainties, and make informed decisions based on data analysis.

    Why is it important to develop knowledge in probability and statistics?

    Developing knowledge in probability and statistics is crucial for effectively interpreting data and making reliable predictions. This understanding forms the basis for designing experiments, analyzing results, and validating conclusions in various fields, ensuring decisions are data-driven and evidence-based.

    What careers can I pursue with knowledge in probability and statistics?

    With knowledge in probability and statistics, you can pursue a wide array of careers such as data scientist, market researcher, machine learning engineer, statistical analyst, and risk manager. These roles span various industries including finance, healthcare, technology, and government, where interpreting data and making evidence-based decisions are key.

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