ข้ามไปยังเนื้อหาหลัก
บ้าน

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.

สร้างบัญชีฟรีของคุณ

หรือ

เมื่อดำเนินการต่อ คุณยอมรับข้อกำหนดการใช้งานของเรา นโยบายความเป็นส่วนตัวของเรา และยอมรับว่าข้อมูลของคุณจะถูกจัดเก็บไว้ในสหรัฐอเมริกา
Group

ฝึกอบรมบุคคลตั้งแต่ 2 คนขึ้นไป?

ลองใช้ DataCamp for Business

Recommended for Probability & Statistics beginners

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

Courses

Introduction to Statistics in R

ระดับกลางระดับทักษะ
4 hours
4.9K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Tracks

Statistician in R

52 hours
956
A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

ไม่แน่ใจว่าจะเริ่มต้นจากตรงไหนดี?

ทำแบบประเมิน

เรียกดูหลักสูตรและแทร็กของ Probability & Statistics

Courses

ARIMA Models in R

พื้นฐานระดับทักษะ
4 hours
337
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Courses

Foundations of Inference in R

ระดับกลางระดับทักษะ
4 hours
329
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Courses

Statistical Simulation in Python

ระดับกลางระดับทักษะ
4 hours
311
Learn to solve increasingly complex problems using simulations to generate and analyze data.

Courses

Experimental Design in R

ระดับกลางระดับทักษะ
4 hours
301
In this course youll learn about basic experimental design, a crucial part of any data analysis.

Courses

Generalized Linear Models in R

ระดับกลางระดับทักษะ
4 hours
291
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Courses

Statistical Thinking in Python (Part 2)

ระดับกลางระดับทักษะ
4 hours
266
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Courses

Analyzing Survey Data in R

ระดับกลางระดับทักษะ
4 hours
264
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Courses

Foundations of Probability in Python

ระดับกลางระดับทักษะ
5 hours
260
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Courses

Foundations of Inference in Python

ขั้นสูงระดับทักษะ
4 hours
256
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Courses

Error and Uncertainty in Google Sheets

ระดับกลางระดับทักษะ
4 hours
256
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Courses

Introduction to Network Analysis in Python

ระดับกลางระดับทักษะ
4 hours
239
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Courses

Survival Analysis in R

ระดับกลางระดับทักษะ
4 hours
235
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!

Courses

Advanced Probability: Uncertainty in Data

ขั้นสูงระดับทักษะ
2 hours
232
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Courses

A/B Testing in R

ระดับกลางระดับทักษะ
4 hours
213
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Courses

Survival Analysis in Python

ขั้นสูงระดับทักษะ
4 hours
208
Use survival analysis to work with time-to-event data and predict survival time.

Courses

Factor Analysis in R

ขั้นสูงระดับทักษะ
4 hours
201
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Courses

Practicing Statistics Interview Questions in Python

ขั้นสูงระดับทักษะ
4 hours
179
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Courses

Network Analysis in R

ระดับกลางระดับทักษะ
4 hours
172
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Courses

Inference for Numerical Data in R

ขั้นสูงระดับทักษะ
4 hours
162
In this course youll learn techniques for performing statistical inference on numerical data.

Courses

Case Studies in Statistical Thinking

ระดับกลางระดับทักษะ
4 hours
141
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Courses

Discrete Event Simulation in Python

ขั้นสูงระดับทักษะ
4 hours
135
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Courses

Practicing Statistics Interview Questions in R

ขั้นสูงระดับทักษะ
4 hours
126
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Courses

Introduction to Anomaly Detection in R

ระดับกลางระดับทักษะ
4 hours
122
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Courses

Inference for Categorical Data in R

ขั้นสูงระดับทักษะ
4 hours
118
In this course youll learn how to leverage statistical techniques for working with categorical data.

แหล่งข้อมูลที่เกี่ยวข้องบน Probability & Statistics

blogs

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 นาที

Tutorials

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 นาที

Tutorials

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 นาที

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

    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.

    เทคโนโลยีและหัวข้ออื่นๆ

    technologies

    topics