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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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DataCamp for Business आज़माएं

Recommended for Probability & Statistics beginners

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

पाठ्यक्रम

Introduction to Statistics in R

मध्यमकौशल स्तर
4.7+
4.5K
4 घंटे
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

ट्रैक

Statistician in R

931
52 घंटे
A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

निश्चित नहीं कि कहां से शुरू करें?

मूल्यांकन लें

Probability & Statistics पाठ्यक्रम और ट्रैक ब्राउज़ करें

पाठ्यक्रम

Experimental Design in R

मध्यमकौशल स्तर
4.7+
433
4 घंटे
In this course youll learn about basic experimental design, a crucial part of any data analysis.

पाठ्यक्रम

Generalized Linear Models in Python

उन्नतकौशल स्तर
4.7+
423
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.

पाठ्यक्रम

Foundations of Probability in Python

मध्यमकौशल स्तर
4.8+
407
5 घंटे
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

पाठ्यक्रम

Anomaly Detection in Python

मध्यमकौशल स्तर
4.8+
390
4 घंटे
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

पाठ्यक्रम

Introduction to Network Analysis in Python

मध्यमकौशल स्तर
4.7+
385
4 घंटे
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

पाठ्यक्रम

Monte Carlo Simulations in Python

मध्यमकौशल स्तर
4.7+
380
4 घंटे
Learn to design and run your own Monte Carlo simulations using Python!

पाठ्यक्रम

Case Study: Analyzing City Time Series Data in R

मध्यमकौशल स्तर
4.8+
333
4 घंटे
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

पाठ्यक्रम

Fundamentals of Bayesian Data Analysis in R

मध्यमकौशल स्तर
4.8+
329
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.

पाठ्यक्रम

Inference for Numerical Data in R

उन्नतकौशल स्तर
4.8+
307
4 घंटे
In this course youll learn techniques for performing statistical inference on numerical data.

पाठ्यक्रम

Inference for Categorical Data in R

उन्नतकौशल स्तर
4.7+
295
4 घंटे
In this course youll learn how to leverage statistical techniques for working with categorical data.

पाठ्यक्रम

A/B Testing in R

मध्यमकौशल स्तर
4.8+
290
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.

पाठ्यक्रम

Practicing Statistics Interview Questions in Python

उन्नतकौशल स्तर
4.7+
286
4 घंटे
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

पाठ्यक्रम

Analyzing Survey Data in R

मध्यमकौशल स्तर
4.8+
284
4 घंटे
Learn survey design using common design structures followed by visualizing and analyzing survey results.

पाठ्यक्रम

Factor Analysis in R

उन्नतकौशल स्तर
4.7+
284
4 घंटे
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

पाठ्यक्रम

Statistical Thinking in Python (Part 2)

मध्यमकौशल स्तर
4.7+
259
4 घंटे
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

पाठ्यक्रम

Customer Analytics and A/B Testing in Python

मध्यमकौशल स्तर
4.7+
254
4 घंटे
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

पाठ्यक्रम

Inference for Linear Regression in R

उन्नतकौशल स्तर
4.8+
253
4 घंटे
In this course youll learn how to perform inference using linear models.

पाठ्यक्रम

Advanced Probability: Uncertainty in Data

उन्नतकौशल स्तर
4.7+
247
2 घंटे
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

पाठ्यक्रम

Survival Analysis in R

मध्यमकौशल स्तर
4.7+
245
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!

पाठ्यक्रम

Statistical Simulation in Python

मध्यमकौशल स्तर
4.8+
238
4 घंटे
Learn to solve increasingly complex problems using simulations to generate and analyze data.

पाठ्यक्रम

Error and Uncertainty in Google Sheets

मध्यमकौशल स्तर
4.7+
234
4 घंटे
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

पाठ्यक्रम

Network Analysis in R

मध्यमकौशल स्तर
4.7+
212
4 घंटे
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

पाठ्यक्रम

Survival Analysis in Python

उन्नतकौशल स्तर
4.7+
197
4 घंटे
Use survival analysis to work with time-to-event data and predict survival time.

पाठ्यक्रम

Foundations of Inference in Python

उन्नतकौशल स्तर
4.8+
195
4 घंटे
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

पाठ्यक्रम

Structural Equation Modeling with lavaan in R

उन्नतकौशल स्तर
4.8+
151
4 घंटे
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

पाठ्यक्रम

Discrete Event Simulation in Python

उन्नतकौशल स्तर
4.7+
139
4 घंटे
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

पाठ्यक्रम

Practicing Statistics Interview Questions in R

उन्नतकौशल स्तर
4.7+
117
4 घंटे
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

पाठ्यक्रम

Case Studies in Statistical Thinking

मध्यमकौशल स्तर
4.9+
115
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.

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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