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    • Statistical Analysis

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    1529 résultats pour ''statistical analysis'

    • Imperial College London

      Imperial College London

      Statistical Analysis with R for Public Health

      Compétences que vous acquerrez : Algebra, Analysis, Basic Descriptive Statistics, Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Econometrics, General Statistics, Hypothesis, Linear Regression, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Supply Chain

      4.7

      (1.6k avis)

      Beginner · Specialization

    • University of Michigan

      University of Michigan

      Inferential Statistical Analysis with Python

      Compétences que vous acquerrez : Data Analysis, Inference, Statistical Analysis, General Statistics, Statistical Programming, Python Programming, Hypothesis, Confidence, Hypothesis Testing, Experiment, Business Analysis, Computer Programming, Statistical Inference, Probability & Statistics, Statistical Hypothesis Testing, Statistical Tests

      4.6

      (788 avis)

      Intermediate · Course

    • SAS

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Compétences que vous acquerrez : General Statistics, Analysis, SAS (Software), Statistical Analysis, Mathematics, Algebra, Regression, Data Analysis, Statistical Programming, Marketing, Business Analysis, Communication, Probability & Statistics

      4.6

      (69 avis)

      Intermediate · Course

    • Coursera Project Network

      Coursera Project Network

      Statistical Analysis using Python Numpy

      Compétences que vous acquerrez : Python Programming, Statistical Analysis, Analysis, Data Analysis, General Statistics, Computer Programming, Statistical Programming, Probability & Statistics, Business Analysis

      4.7

      (7 avis)

      Intermediate · Guided Project

    • Coursera Project Network

      Coursera Project Network

      Visualization for Statistical Analysis

      Beginner · Guided Project

    • Google

      Google

      Google Data Analytics

      Compétences que vous acquerrez : Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science

      4.8

      (62.5k avis)

      Beginner · Professional Certificate

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      IBM

      IBM

      IBM Data Science

      Compétences que vous acquerrez : Algebra, Algorithms, Analysis, Business Analysis, Cloud API, Cloud Computing, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science, Web

      4.6

      (93.3k avis)

      Beginner · Professional Certificate

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      IBM

      IBM

      IBM Data Analyst

      Compétences que vous acquerrez : Algebra, Analysis, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science, Web

      4.6

      (50.2k avis)

      Beginner · Professional Certificate

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      IBM

      IBM

      Applied Data Science

      Compétences que vous acquerrez : Algebra, Analysis, Business Analysis, Cloud API, Cloud Computing, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science, Web

      4.6

      (37.9k avis)

      Beginner · Specialization

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      IBM

      IBM

      IBM Data Analytics with Excel and R

      Compétences que vous acquerrez : Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Marketing, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Pivot Table, Plot (Graphics), Probability & Statistics, Programming Principles, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.7

      (9.6k avis)

      Beginner · Professional Certificate

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      IBM

      IBM

      Data Analysis and Visualization Foundations

      Compétences que vous acquerrez : Analysis, Apache, Big Data, Business Analysis, Chart, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Microsoft Excel, NoSQL, Operating Systems, Pivot Table, Plot (Graphics), Spreadsheet Software, Statistical Analysis, Statistical Visualization, System Programming

      4.7

      (9.4k avis)

      Beginner · Specialization

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      University of Virginia Darden School Foundation

      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Compétences que vous acquerrez : Analysis, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Strategy, Change Management, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Data Warehousing, Databases, Deep Learning, Design and Product, DevOps, Entrepreneurship, Extract, Transform, Load, Finance, General Statistics, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market Research, Marketing, Network Architecture, Network Security, NoSQL, Operating Systems, Product Strategy, Research and Design, Sales, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Statistical Analysis, Strategy, Strategy and Operations, System Programming, Theoretical Computer Science

      4.7

      (17.9k avis)

      Beginner · Specialization

    Recherches liées à statistical analysis

    statistical analysis with r for public health
    statistical analysis using python numpy
    inferential statistical analysis with python
    visualization for statistical analysis
    introduction to statistical analysis: hypothesis testing
    business statistics and analysis
    sas statistical business analyst
    business statistics and analysis capstone
    1234…84

    En résumé, voici 10 de nos cours statistical analysis les plus populaires

    • Statistical Analysis with R for Public Health: Imperial College London
    • Inferential Statistical Analysis with Python: University of Michigan
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Statistical Analysis using Python Numpy: Coursera Project Network
    • Visualization for Statistical Analysis: Coursera Project Network
    • Google Data Analytics: Google
    • IBM Data Science: IBM
    • IBM Data Analyst: IBM
    • Applied Data Science: IBM
    • IBM Data Analytics with Excel and R: IBM

    Compétences que vous avez acquises en Business Essentials

    Analytique (37)
    Présentation (33)
    Modélisation (29)
    Business Analytics (27)
    Langue (26)
    Microsoft Excel (26)
    Écrire (26)
    Discours (18)
    Plan (17)
    Communication Commerciale (16)
    Prise De Décision (16)
    Direction (15)

    Questions fréquentes sur Analyse statistique

    • Statistical analysis is the process of collecting and organizing data in order to observe patterns in that data. This discipline examines numerical data for trends, and it has practical applications across multiple industries and business sectors. Statistical analysts can examine large or small amounts of data to determine what the data shows—and what should be done with that information. The business world has relied on statistical analysis for years, but the advent of computer technology has made analyzing large amounts of data increasingly easy. Computers allow statisticians to analyze copious amounts of data and look for more specific patterns and trends than ever before.‎

    • Statistical analysis is important because it helps you make sense—and make use—of data. No matter what industry you work in, you see data every day. You may not know how to interpret the data, or there may just be too much data to understand on its own merits. Using statistical analysis can help you interpret key patterns in your data and sort out extraneous information to understand what the data means and what you should do about it. If you have a background in statistical analysis, you can also test or disprove any analysis that you receive from someone else as well.‎

    • A thorough knowledge of statistical analysis can help you find a career in the financial sector, information technology, or other areas of the business world. You can find jobs giving businesses advice on how to invest or how to manage their money more efficiently, or you can consult with companies on how to budget for large projects. Market research jobs rely on statistical analysis skills, while software engineers analyze data to develop and test new and updated applications. Data scientists work with various organizations to help them identify patterns and trends in their field of business.‎

    • From courses that introduce you to the basics of statistical analysis to more specific topics like hypothesis testing, data analysis in the health care industry, or risk management, you can gain a confident base of knowledge from online courses on Coursera. Specific topics you can discover include using logistic regression in R, survival analysis in R, bias and validity in epidemiology, statistics with Python, and data analytics.‎

    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.
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