R ProgrammingLinear RegressionStatistical Hypothesis TestingStatisticsLinear AlgebraConfidence IntervalBiostatistics
Spécialisation Advanced Statistics for Data Science
Familiarize yourself with fundamental concepts in probability and statistics, data analysis and linear models for Data Science.
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Spécialisation Advanced Statistics for Data ScienceUniversité Johns-HopkinsCe que vous allez apprendre
Learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and more.
Understand the matrix algebra of linear regression models.
Learn about canonical examples of linear models to relate them to techniques that you may already be using.
Compétences que vous acquerrez
À propos de ce Spécialisation
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Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.
This specialization starts with Mathematical Statistics bootcamps, specifically concepts and methods used in biostatistics applications. These range from probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.
This specialization also linear models for data science, starting from understanding least squares from a linear algebraic and mathematical perspective, to statistical linear models, including multivariate regression using the R programming language. These courses will give learners a firm foundation in the linear algebraic treatment of regression modeling, which will greatly augment applied data scientists' general understanding of regression models.
This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
Projet d'apprentissage appliqué
The Advanced Statistics for Data Science Specialization incorporates a series of rigorous graded quizzes to test the understanding of key concepts such as probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.
Résultats de carrière des étudiants
17 %
ont obtenu une augmentation de salaire ou une promotion.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau avancé
This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
Approximately 5 months to complete
Suggested pace of 2 hours/week
Anglais
Sous-titres : Anglais, Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Espagnol
Résultats de carrière des étudiants
17 %
ont obtenu une augmentation de salaire ou une promotion.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
Cours en ligne à 100 %
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Planning flexible
Définissez et respectez des dates limites flexibles.
Niveau avancé
This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
Approximately 5 months to complete
Suggested pace of 2 hours/week
Anglais
Sous-titres : Anglais, Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Espagnol
Cette Spécialisation compte 4 cours
Biostatistique mathématique Cours intensif 1
352 évaluations
This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.
Biostatistique mathématique Cours intensif 2
85 évaluations
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
Advanced Linear Models for Data Science 1: Least Squares
147 évaluations
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:
Advanced Linear Models for Data Science 2: Statistical Linear Models
66 évaluations
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:
Offert par
Université Johns-Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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