Coursera
  • Diplôme en ligneDécouvrez les licences et les masters
  • MasterTrack™Obtenir un crédit en vue d'un master
  • Certificats d'universitéFaites progresser votre carrière grâce à un apprentissage de niveau supérieur
Rechercher des carrièresPour l'entreprisePour les universités
  • Parcourir
  • Meilleurs cours
  • Connexion
  • Inscrivez-vous gratuitement
    Coursera
    • Parcourir
    • Advanced Statistics

    Filtrer par

    443 résultats pour ''advanced statistics'

    • Placeholder
      Johns Hopkins University

      Advanced Statistics for Data Science

      Compétences que vous acquerrez : Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Bayesian Statistics, Experiment, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Statistical Tests, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis

      4.4

      (688 avis)

      Advanced · Specialization · 3-6 Months

    • Gratuit

      Placeholder
      Nanjing University

      Data Processing Using Python

      Compétences que vous acquerrez : Computer Programming, Python Programming, Computer Science, Data Structures, Theoretical Computer Science, Computational Thinking, Human Computer Interaction, User Experience, Statistical Programming

      4.1

      (305 avis)

      Beginner · Course · 1-3 Months

    • Gratuit

      Placeholder
      Georgia Institute of Technology

      Materials Data Sciences and Informatics

      Compétences que vous acquerrez : Human Computer Interaction, Probability & Statistics, User Experience, Big Data, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Design and Product, Dimensionality Reduction, Experiment, General Statistics, Machine Learning, Python Programming, Statistical Programming

      4.5

      (308 avis)

      Intermediate · Course · 1-3 Months

    • Placeholder
      Coursera Project Network

      Analyze Survey Data with Tableau

      Compétences que vous acquerrez : Data Analysis, Market Research

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      University of Colorado Boulder

      Business Analytics for Decision Making

      Compétences que vous acquerrez : Data Analysis, Business Analysis, Machine Learning, Markov Model, Algorithms, Big Data, Data Analysis Software, Machine Learning Algorithms, Statistical Analysis, Theoretical Computer Science, Exploratory Data Analysis

      4.6

      (1.8k avis)

      Mixed · Course · 1-4 Weeks

    • Placeholder
      Macquarie University

      Excel Skills for Business

      Compétences que vous acquerrez : Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis, Plot (Graphics), Data Visualization, Basic Descriptive Statistics, Computational Logic, Computer Architecture, Data Analysis Software, Data Management, Data Mining, Data Visualization Software, Extract, Transform, Load, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.9

      (56.1k avis)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      SAS

      SAS Advanced Programmer

      Compétences que vous acquerrez : SAS (Software), Statistical Programming, Data Management, Databases, SQL, Business Analysis, Spreadsheet Software, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Programming Principles, Theoretical Computer Science, Big Data, Data Analysis, Computational Thinking

      4.8

      (303 avis)

      Intermediate · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Compétences que vous acquerrez : Algebra, Mathematics, Linear Algebra

      4.8

      (313 avis)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      Coursera Project Network

      Create a Custom Marketing Analytics Dashboard in Data Studio

      Compétences que vous acquerrez : Business Analysis, Data Analysis, Data Analysis Software, Data Visualization, Data Visualization Software, Marketing

      4.4

      (79 avis)

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Placeholder
      Johns Hopkins University

      Data Science: Foundations using R

      Compétences que vous acquerrez : R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)

      4.6

      (47.2k avis)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      DeepLearning.AI

      Advanced Learning Algorithms

      Compétences que vous acquerrez : Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis

      4.9

      (1.6k avis)

      Beginner · Course · 1-4 Weeks

    • Placeholder

      Gratuit

      Placeholder
      Stanford University

      Introduction to Statistics

      Compétences que vous acquerrez : Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.5

      (1.9k avis)

      Beginner · Course · 1-3 Months

    Recherches liées à advanced statistics

    advanced statistics for data science
    advanced linear models for data science 2: statistical linear models
    1234…37

    En résumé, voici 10 de nos cours advanced statistics les plus populaires

    • Advanced Statistics for Data Science: Johns Hopkins University
    • Data Processing Using Python: Nanjing University
    • Materials Data Sciences and Informatics: Georgia Institute of Technology
    • Analyze Survey Data with Tableau: Coursera Project Network
    • Business Analytics for Decision Making: University of Colorado Boulder
    • Excel Skills for Business: Macquarie University
    • SAS Advanced Programmer: SAS
    • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
    • Create a Custom Marketing Analytics Dashboard in Data Studio: Coursera Project Network
    • Data Science: Foundations using R: Johns Hopkins University

    Questions fréquentes sur Statistiques avancées

    • Advanced statistics are the mathematical tools used to discover and explore complex relationships between different variables in large datasets. In contrast to basic statistics such as average and analysis of variance (ANOVA) that simply describe the characteristics of a dataset, advanced statistical approaches often seek to make predictions about the world. This requires the use of more sophisticated statistical inference tools, such as generalized linear models for regression analysis capable of establishing how multiple interrelated factors may impact projected outcomes.

      These advanced statistical methods are increasingly important in the field of data science, which is tasked with uncovering important business insights and developing predictive models from diverse big data-scale datasets. These techniques are also especially important for the proper training and use of machine learning algorithms. As in data science and machine learning more generally, R programming and Python programming skills are typically relied upon to conduct these advanced statistical analyses.‎

    • Advanced statistics skills are essential for work in data science, machine learning, and artificial intelligence (AI), as statistical approaches are at the heart of the learning algorithms that make these applications possible. An understanding of statistics is likewise important for professionals in finance, healthcare, and other industries that are increasingly making use of machine learning and AI, as they increasingly need to work closely with data scientists to ensure that these powerful techniques are developed to solve the right business problems.

      Those wishing to delve deeper into advanced statistical methods and help develop new mathematical approaches in the field may pursue a master’s or even a PhD in statistics. These experts work in academia, government, or at private sector companies involved in scientific or engineering research. According to the Bureau of Labor Statistics, professional statisticians earn a median annual salary of $91,160, and this specialized career path is expected to be in high demand due to expanding opportunities to use statistics to navigate our data-rich world.‎

    • Certainly. Coursera offers a variety of courses in advanced statistics as well as their applications in the context of fields like data science and machine learning. In fact, coursework in statistics is often a prerequisite for data science classes. Regardless of your level of expertise and needs in these areas, Coursera enables you to learn remotely from top-ranked schools like the University of Michigan, Johns Hopkins University, and Duke University. And, since you can view course materials and complete coursework on a flexible schedule, there’s an exceedingly high probability that you can fit online learning about advanced statistics into your existing school or work life.‎

    • You need to have strong math skills, especially in basic calculus, linear algebra, and statistics before starting to learn advanced statistics. It's important that you have strong technical skills and are very comfortable on the computer, strong analytical skills, and the ability to carefully examine and question data that is presented to you so that you can organize and draw conclusions from it. For learning some concepts in advanced statistics, you'll need to have experience using the R statistical software package and understand Bayesian estimation, principles of maximum-likelihood estimation, and calculus-based probability.‎

    • People who enjoy mathematics are best suited for roles in advanced statistics, especially those who enjoy concepts like probability, linear models, and statistics and how they relate to data science. They can quickly grasp and apply complex technical concepts as well. Those who enjoy testing hypotheses and figuring out uncertain outcomes based on probability are also well suited for roles in advanced statistics. Also, people who have wide-ranging computer skills, the ability to communicate their statistical findings in plain language, problem-solving and analytical skills, and teamwork and collaborative skills are best suited for roles involving advanced statistics.‎

    • If you're aspiring to be a biostatistician or data scientist, learning advanced statistics is probably right for you. If you're interested in machine learning and the development of data products, you may also find learning advanced statistics is right for you. People who want to have a career as a statistician, statistical epidemiologist, sports analyst, actuary, market researcher, or investment analyst may also find learning advanced statistics to be the right choice. And if you need to understand how to transform complex sets of data into practical applications, learning advanced statistics is right for you.‎

    Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.
    Autres sujets à explorer
    Placeholder
    Arts et humanités
    338 cours
    Placeholder
    Business
    1095 cours
    Placeholder
    Informatique
    668 cours
    Placeholder
    Science des données
    425 cours
    Placeholder
    Technologies de l'information
    145 cours
    Placeholder
    Santé
    471 cours
    Placeholder
    Mathématiques et logique
    70 cours
    Placeholder
    Développement personnel
    137 cours
    Placeholder
    Sciences physiques et ingénierie
    413 cours
    Placeholder
    Sciences sociales
    401 cours
    Placeholder
    Apprentissage des langues
    150 cours

    Coursera Footer

    Commencez ou faites progresser votre carrière

    • Analyste de données Google
    • Certificat Professionnel en marketing numérique et commerce électronique Google
    • Certificat Professionnel d’automatisation informatique Google avec Python
    • Google IT Support
    • Gestion de projet Google
    • Conception d'expérience utilisateur Google
    • Préparation à la certification Google Cloud : architecte de Cloud
    • Analyste de cybersécurité d'IBM
    • Analyste de données d'IBM
    • Ingénierie des données IBM
    • Science des données IBM
    • Développeur(euse) Cloud Full Stack IBM
    • Apprentissage automatique IBM
    • Connaître la comptabilité sur le bout des doigts
    • Développeur front-end Meta
    • Certification Professionnel de développeur TensorFlow DeepLearning.AI
    • Certificat Professionnel de programmeur SAS
    • Lancez votre carrière
    • Préparez-vous pour obtenir un certificat
    • Faire progresser votre carrière
    • Comment identifier les erreurs de syntaxe Python
    • Comment récupérer les exceptions Python
    • Voir tous les tutoriels de programmation

    Cours et certifications populaires

    • cours gratuits
    • Cours sur l’intelligence artificielle
    • Cours sur la blockchain
    • Cours d’informatique
    • Cursos Gratis
    • Cours en cybersécurité
    • Cours en analyse des données
    • Cours de science des données
    • Cours d’anglais
    • Cours de développement Web Full Stack
    • Cours Google
    • Cours sur les ressources humaines
    • Cours d’informatique
    • Cours d’apprentissage de l’anglais
    • Cours sur Microsoft Excel
    • Cours en gestion de produit
    • Cours en gestion de projet
    • Cours sur Python
    • Cours sur SQL
    • Certifications Agile
    • Certification CAPM
    • Certification CompTIA A+
    • Certifications en analyse des données
    • Certifications Scrum Master
    • Voir tous les cours

    Collections et articles populaires

    • Cours en ligne gratuits à terminer en une journée
    • Cours appréciés gratuits
    • Emplois dans le domaine commercial
    • Emplois en cybersécurité
    • Emplois en informatique pour débutant
    • Questions pour un entretien avec un analyste de données
    • Projets en analyse des données
    • Comment devenir analyste de données
    • Comment devenir chef de projet
    • Compétences en informatique
    • Questions pour un entretien avec un gestionnaire de projet
    • Compétences de programmation en Python
    • Forces et faiblesses lors d’un entretien
    • Que fait un analyste de données ?
    • Que fait un ingénieur logiciel ?
    • Qu’est-ce qu’un ingénieur des données ?
    • Qu’est-ce qu’un scientifique des données ?
    • Qu’est-ce qu’un concepteur de produits ?
    • Qu’est-ce qu’un Scrum Master ?
    • Qu’est-ce qu’un UX Researcher (chercheur UX) ?
    • Comment obtenir un certificat PMP
    • Certifications PMI
    • Certifications populaires en cybersécurité
    • Certifications SQL populaires
    • Lire tous les articles Coursera

    Obtenez un diplôme ou un certificat en ligne

    • Certificats Professionnels Google
    • Certificats Professionnels
    • Voir tous les certificats
    • Licences
    • Masters
    • Diplômes en informatique
    • Diplômes en science des données
    • MBA & diplômes commerciaux
    • Diplômes en analyse des données
    • Diplômes de santé publique
    • Diplômes en sciences sociales
    • Diplômes en gestion
    • Licence en lettres ou licence en sciences
    • Qu'est-ce qu'une licence ?
    • 11 bonnes habitudes d’apprentissage à développer
    • Comment écrire une lettre de recommandation
    • 10 emplois convoités que vous pouvez obtenir avec un diplôme en commerce
    • Est-ce qu’un Master en informatique est utile ?
    • Voir tous les programmes diplômants
    • Coursera Inde
    • Coursera Royaume-Uni
    • Coursera Mexique

    Coursera

    • À propos
    • Ce que nous proposons
    • Direction
    • Carrières
    • Catalogue
    • Coursera Plus
    • Certificats Professionnels
    • Certificats MasterTrack®
    • Diplômes
    • Pour l'entreprise
    • Pour les gouvernements
    • Pour le campus
    • Devenir un partenaire
    • Décision relative au coronavirus

    Communauté

    • Étudiants
    • Partenaires
    • Testeurs bêta
    • Traducteurs
    • Blog
    • Blog Tech
    • Centre d'enseignement

    Plus

    • Presse
    • Investisseurs
    • Conditions
    • Confidentialité
    • Aide
    • Accessibilité
    • Contact
    • Articles
    • Répertoire
    • Filiales
    • Déclaration sur l’esclavage moderne
    Apprendre partout
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. Tous droits réservés.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder