Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.
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Introduction to Statistics
斯坦福大学課程信息
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初級
- Basic familiarity with computers and productivity software
- No calculus required
完成時間大約為15 小時
英語（English）
字幕：英語（English）
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
- Basic familiarity with computers and productivity software
- No calculus required
完成時間大約為15 小時
英語（English）
字幕：英語（English）
提供方
斯坦福大学
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Introduction and Descriptive Statistics for Exploring Data
This module provides an overview of the course and a review of the main tools used in descriptive statistics to visualize information.
完成時間為 2 小時
10 個視頻 （總計 30 分鐘）, 4 個閱讀材料, 2 個測驗
完成時間為 1 小時
Producing Data and Sampling
In this module, you will look at the main concepts for sampling and designing experiments. You will learn about curious pitfalls and how to evaluate the effectiveness of such experiments.
完成時間為 1 小時
6 個視頻 （總計 14 分鐘）
完成時間為 1 小時
Probability
In this module, you will learn about the definition of probability and the essential rules of probability that you will need for solving both simple and complex challenges. You will also learn about examples of how simple rules of probability are used to create solutions for real-life complex situations.
完成時間為 1 小時
8 個視頻 （總計 27 分鐘）
完成時間為 1 小時
Normal Approximation and Binomial Distribution
This module covers the empirical rule and normal approximation for data, a technique that is used in many statistical procedures. You will also learn about the binomial distribution and the basics of random variables.
完成時間為 1 小時
10 個視頻 （總計 27 分鐘）
完成時間為 1 小時
Sampling Distributions and the Central Limit Theorem
In this module, you will learn about the Law of Large Numbers and the Central Limit Theorem. You will also learn how to differentiate between the different types of histograms present in statistical analysis.
完成時間為 1 小時
9 個視頻 （總計 23 分鐘）
完成時間為 1 小時
Regression
This module covers regression, arguably the most important statistical technique based on its versatility to solve different types of statistical problems. You will learn about inference, regression, and how to do regression diagnostics.
完成時間為 1 小時
10 個視頻 （總計 34 分鐘）
審閱
- 5 stars70.18%
- 4 stars19.87%
- 3 stars6.13%
- 2 stars2.07%
- 1 star1.72%
來自INTRODUCTION TO STATISTICS的熱門評論
由 KE 提供2021年11月30日
A very good course. Definitely a course to take for an introduction into Statistics. Also probably going to be very useful as I'm planning on taking Machine Learning.
由 AS 提供2022年1月24日
The course was very concisely presented, emphasizing key statistical techniques and several helpful examples.
由 PS 提供2021年9月5日
Excellent course... Only improvement I can suggest is to add more problems in the lectures as well as quizzes.
由 BN 提供2022年2月4日
The course was very interesting. A lot of concepts were touched up on, but the explanation part was a little less. I can label it as a very good introductory course to Statistics.
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