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
Université de StanfordÀ propos de ce cours
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Niveau débutant
- Basic familiarity with computers and productivity software
- No calculus required
Approx. 15 heures pour terminer
Anglais
Sous-titres : Anglais
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
- Basic familiarity with computers and productivity software
- No calculus required
Approx. 15 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université 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.
Programme de cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
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 heures pour terminer
10 vidéos (Total 30 min), 4 lectures, 2 quiz
1 heure pour terminer
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 heure pour terminer
6 vidéos (Total 14 min)
1 heure pour terminer
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 heure pour terminer
8 vidéos (Total 27 min)
1 heure pour terminer
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 heure pour terminer
10 vidéos (Total 27 min)
1 heure pour terminer
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 heure pour terminer
9 vidéos (Total 23 min)
1 heure pour terminer
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 heure pour terminer
10 vidéos (Total 34 min)
Avis
- 5 stars69,75 %
- 4 stars20,41 %
- 3 stars5,95 %
- 2 stars2,17 %
- 1 star1,70 %
Meilleurs avis pour INTRODUCTION TO STATISTICS
par BN4 févr. 2022
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.
par LM12 févr. 2022
Very intersting and insightful course. I believe some topics, especially those that come up often, could have been clarified further through definitions rather than mere examples
par KE30 nov. 2021
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.
par VP15 janv. 2022
Statistics has been introduced with minimal math, with real world examples, making the concepts easy to grasp.
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