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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

कोर्स

Introduction to Statistics in R

मध्यमकौशल स्तर
4.7+
2,031 समीक्षाएँ
4 घंटे
अपने सांख्यिकीय कौशल बढ़ाएँ और डेटा एकत्र करने, विश्लेषण करने और सटीक निष्कर्ष निकालने का तरीका सीखें।

लर्निंग पाथ

सांख्यिकीविद् in R

4.5+
7 समीक्षाएँ
52 घंटे
एक सांख्यिकीविद् डेटा एकत्र करता है और उसका विश्लेषण करता है, तथा कंपनियों को मात्रात्मक डेटा को समझने में मदद करता है, जिसमें रुझानों की पहचान करना और पूर्वानुमान लगाना शामिल है।

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मूल्यांकन लें

Probability & Statistics पाठ्यक्रम और ट्रैक ब्राउज़ करें

कोर्स

Factor Analysis in R

उन्नतकौशल स्तर
4.7+
150 समीक्षाएँ
4 घंटे
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

कोर्स

Anomaly Detection in Python

मध्यमकौशल स्तर
4.8+
175 समीक्षाएँ
4 घंटे
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

कोर्स

Bayesian Data Analysis in Python

मध्यमकौशल स्तर
4.7+
253 समीक्षाएँ
4 घंटे
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

कोर्स

Fundamentals of Bayesian Data Analysis in R

मध्यमकौशल स्तर
4.8+
208 समीक्षाएँ
4 घंटे
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

कोर्स

Inference for Linear Regression in R

उन्नतकौशल स्तर
4.8+
159 समीक्षाएँ
4 घंटे
In this course youll learn how to perform inference using linear models.

कोर्स

Monte Carlo Simulations in Python

मध्यमकौशल स्तर
4.7+
156 समीक्षाएँ
4 घंटे
Learn to design and run your own Monte Carlo simulations using Python!

कोर्स

Introduction to Network Analysis in Python

मध्यमकौशल स्तर
4.7+
211 समीक्षाएँ
4 घंटे
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

कोर्स

Analyzing Survey Data in R

मध्यमकौशल स्तर
4.8+
212 समीक्षाएँ
4 घंटे
Learn survey design using common design structures followed by visualizing and analyzing survey results.

कोर्स

Practicing Statistics Interview Questions in Python

उन्नतकौशल स्तर
4.7+
84 समीक्षाएँ
4 घंटे
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

कोर्स

Case Study: Analyzing City Time Series Data in R

मध्यमकौशल स्तर
4.8+
139 समीक्षाएँ
4 घंटे
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

कोर्स

Introduction to Linear Modeling in Python

मध्यमकौशल स्तर
4.7+
214 समीक्षाएँ
4 घंटे
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

कोर्स

Statistical Thinking in Python (Part 2)

मध्यमकौशल स्तर
4.8+
246 समीक्षाएँ
4 घंटे
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

कोर्स

A/B Testing in R

मध्यमकौशल स्तर
4.8+
90 समीक्षाएँ
4 घंटे
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

कोर्स

Survival Analysis in R

मध्यमकौशल स्तर
4.7+
188 समीक्षाएँ
4 घंटे
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!

कोर्स

Customer Analytics and A/B Testing in Python

मध्यमकौशल स्तर
4.7+
103 समीक्षाएँ
4 घंटे
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

कोर्स

Network Analysis in R

मध्यमकौशल स्तर
4.7+
120 समीक्षाएँ
4 घंटे
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

कोर्स

Advanced Probability: Uncertainty in Data

उन्नतकौशल स्तर
4.8+
147 समीक्षाएँ
2 घंटे
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

कोर्स

Inference for Numerical Data in R

उन्नतकौशल स्तर
4.8+
101 समीक्षाएँ
4 घंटे
In this course youll learn techniques for performing statistical inference on numerical data.

कोर्स

Inference for Categorical Data in R

उन्नतकौशल स्तर
4.8+
107 समीक्षाएँ
4 घंटे
In this course youll learn how to leverage statistical techniques for working with categorical data.

कोर्स

Generalized Linear Models in Python

उन्नतकौशल स्तर
4.7+
143 समीक्षाएँ
5 घंटे
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

कोर्स

Error and Uncertainty in Google Sheets

मध्यमकौशल स्तर
4.7+
138 समीक्षाएँ
4 घंटे
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

कोर्स

Foundations of Inference in Python

उन्नतकौशल स्तर
4.8+
218 समीक्षाएँ
4 घंटे
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

कोर्स

Survival Analysis in Python

उन्नतकौशल स्तर
4.7+
71 समीक्षाएँ
4 घंटे
Use survival analysis to work with time-to-event data and predict survival time.

कोर्स

Statistical Simulation in Python

मध्यमकौशल स्तर
4.8+
28 समीक्षाएँ
4 घंटे
Learn to solve increasingly complex problems using simulations to generate and analyze data.

कोर्स

Discrete Event Simulation in Python

उन्नतकौशल स्तर
4.7+
68 समीक्षाएँ
4 घंटे
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

कोर्स

Structural Equation Modeling with lavaan in R

उन्नतकौशल स्तर
4.8+
74 समीक्षाएँ
4 घंटे
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

कोर्स

Case Studies in Statistical Thinking

मध्यमकौशल स्तर
4.9+
79 समीक्षाएँ
4 घंटे
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

कोर्स

Practicing Statistics Interview Questions in R

उन्नतकौशल स्तर
4.7+
20 समीक्षाएँ
4 घंटे
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Probability & Statistics पर संबंधित संसाधन

ब्लॉग

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 मि॰

ट्यूटोरियल

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 मि॰

ट्यूटोरियल

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 मि॰

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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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