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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

Curs

Introducere în Statistică cu R

IntermediarNivel de competențe
4.7+
2.022 de recenzii
4 h
Dezvoltă-ți abilitățile statistice și învață cum să colectezi, să analizezi și să tragi concluzii corecte din date.

Traseu de învățare

Statistician în R

4.5+
7 recenzii
52 h
Un statistician colectează și analizează date și ajută companiile să înțeleagă datele cantitative, inclusiv să identifice tendințe și să facă predicții.

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Navighează cursurile și traseele Probability & Statistics

Curs

Anomaly Detection in Python

IntermediarNivel de competențe
4.8+
174 de recenzii
4 h
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Curs

Factor Analysis in R

AvansatNivel de competențe
4.7+
145 de recenzii
4 h
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Curs

Bayesian Data Analysis in Python

IntermediarNivel de competențe
4.7+
252 de recenzii
4 h
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Curs

Introduction to Network Analysis in Python

IntermediarNivel de competențe
4.7+
208 recenzii
4 h
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Curs

Analyzing Survey Data in R

IntermediarNivel de competențe
4.8+
209 recenzii
4 h
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Curs

Introduction to Linear Modeling in Python

IntermediarNivel de competențe
4.7+
213 recenzii
4 h
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Curs

Statistical Thinking in Python (Part 2)

IntermediarNivel de competențe
4.8+
245 de recenzii
4 h
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Curs

A/B Testing in R

IntermediarNivel de competențe
4.8+
89 de recenzii
4 h
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Curs

Inference for Numerical Data in R

AvansatNivel de competențe
4.8+
100 de recenzii
4 h
In this course youll learn techniques for performing statistical inference on numerical data.

Curs

Survival Analysis in R

IntermediarNivel de competențe
4.7+
186 de recenzii
4 h
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!

Curs

Network Analysis in R

IntermediarNivel de competențe
4.7+
120 de recenzii
4 h
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Curs

Inference for Categorical Data in R

AvansatNivel de competențe
4.8+
107 recenzii
4 h
In this course youll learn how to leverage statistical techniques for working with categorical data.

Curs

Advanced Probability: Uncertainty in Data

AvansatNivel de competențe
4.8+
146 de recenzii
2 h
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Curs

Generalized Linear Models in Python

AvansatNivel de competențe
4.7+
143 de recenzii
5 h
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Curs

Foundations of Inference in Python

AvansatNivel de competențe
4.8+
217 recenzii
4 h
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Curs

Error and Uncertainty in Google Sheets

IntermediarNivel de competențe
4.7+
138 de recenzii
4 h
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Curs

Statistical Simulation in Python

IntermediarNivel de competențe
4.8+
28 de recenzii
4 h
Learn to solve increasingly complex problems using simulations to generate and analyze data.

Curs

Survival Analysis in Python

AvansatNivel de competențe
4.7+
71 de recenzii
4 h
Use survival analysis to work with time-to-event data and predict survival time.

Curs

Discrete Event Simulation in Python

AvansatNivel de competențe
4.7+
68 de recenzii
4 h
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Curs

Case Studies in Statistical Thinking

IntermediarNivel de competențe
4.9+
79 de recenzii
4 h
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Resurse conexe despre Probability & Statistics

articol de blog

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 min.

Tutorial

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 min.

Tutorial

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 min.

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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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