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
스탠퍼드 대학교이 강좌에 대하여
최근 조회 472,331회
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
초급 단계
- Basic familiarity with computers and productivity software
- No calculus required
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영어
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유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
초급 단계
- Basic familiarity with computers and productivity software
- No calculus required
완료하는 데 약 15시간 필요
영어
자막: 영어
제공자:
스탠퍼드 대학교
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.
강의 계획표 - 이 강좌에서 배울 내용
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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.
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10개 동영상 (총 30분), 4 개의 읽기 자료, 2 개의 테스트
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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.
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6개 동영상 (총 14분)
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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.
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8개 동영상 (총 27분)
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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.
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10개 동영상 (총 27분)
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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.
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9개 동영상 (총 23분)
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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.
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10개 동영상 (총 34분)
검토
INTRODUCTION TO STATISTICS의 최상위 리뷰
SM 제공2021년 11월 29일
Good intro course, however, if you are coming from a no-scientific background would advice you work on a few mathematical concepts prior. Namely; basic algebra & probability
SS 제공2021년 12월 28일
There is much calculus involved which makes me hard to digest the materials (I have not completed calculus yet), but overall an informative course from Stanford online.
KE 제공2021년 11월 30일
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.
SS 제공2022년 1월 15일
It was quite the experience, brilliant teaching with wonderful presentation of lessons. The professor was really great. The assignments were also astonishing.
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