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.
oferecido por
Introduction to Statistics
Universidade de StanfordInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
- Basic familiarity with computers and productivity software
- No calculus required
Aprox. 15 horas para completar
Inglês
Legendas: Inglês
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
- Basic familiarity with computers and productivity software
- No calculus required
Aprox. 15 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de Stanford
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.
Programa - O que você aprenderá com este curso
2 horas para concluir
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.
2 horas para concluir
10 vídeos (Total 30 mín.), 4 leituras, 2 testes
1 hora para concluir
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.
1 hora para concluir
6 vídeos (Total 14 mín.)
1 hora para concluir
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.
1 hora para concluir
8 vídeos (Total 27 mín.)
1 hora para concluir
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.
1 hora para concluir
10 vídeos (Total 27 mín.)
1 hora para concluir
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.
1 hora para concluir
9 vídeos (Total 23 mín.)
1 hora para concluir
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.
1 hora para concluir
10 vídeos (Total 34 mín.)
Avaliações
Principais avaliações do INTRODUCTION TO STATISTICS
por MK12 de Set de 2021
very good course to take , because this course was explained in detailed and also by doing the quiz of this course helpful to learn perfectly.
por PS5 de Set de 2021
Excellent course... Only improvement I can suggest is to add more problems in the lectures as well as quizzes.
por NM28 de Mai de 2021
very good basic statistics score, explained in detail and all the basics cleared, everyone should go for it
por PL24 de Ago de 2021
Solid exposure to introductory content. Prof Walther speaks clearly and the examples help in practicing!
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