What is statistical analysis?

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.

Why is statistical analysis important?

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.

What are typical careers that use statistical analysis?

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.

How can online courses on Coursera help me learn statistical analysis?

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.

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1889 resultados referentes a "statistical analysis"

University of California, Davis
Search Engine Optimization (SEO)
Habilidades que você terá: Marketing, Digital Marketing, Search Engine Optimization, Research and Design, Marketing Design, MarTech, Web Design, Web Development, Back-End Web Development, Communication, HTML and CSS, Front-End Web Development, Full-Stack Web Development, Social Media, Brand Management, Influencing, Data Analysis, Entrepreneurship, Market Analysis, Marketing Management, Business Analysis, Business Psychology, Collaboration, Customer Relationship Management, Finance, Forecasting, Leadership and Management, Market Research, Marketing Psychology, Mobile Development, Mobile Development Tools, Persona Research, Probability & Statistics, Sales, Statistical Analysis, Strategy, Strategy and Operations, Web Development Tools, Accounting, Algorithms, Human Computer Interaction, Mathematics, Software Architecture, Software Engineering, Software Testing, Theoretical Computer Science, User Experience
4.6
(11.4k avaliações)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Genomic Data Science
Habilidades que você terá: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing
4.5
(5.8k avaliações)
Intermediate · Specialization · 3-6 Months
University of Pennsylvania
Foundations of Positive Psychology
Habilidades que você terá: Communication, Emotional Intelligence, Leadership and Management, Business Psychology, Entrepreneurship, Human Resources, People Development, Personal Development, Professional Development, Research and Design, Resilience, Probability & Statistics, Big Data, Business Analysis, Creativity, Data Analysis, Data Management, General Statistics, Statistical Analysis, Basic Descriptive Statistics
4.8
(6.9k avaliações)
Beginner · Specialization · 3-6 Months
Gratuito
Stanford University
Introduction to Statistics
Habilidades que você terá: 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 avaliações)
Beginner · Course · 1-3 Months
University of Illinois at Urbana-Champaign
Digital Marketing
Habilidades que você terá: Marketing, Digital Marketing, Research and Design, Communication, Entrepreneurship, Sales, Leadership and Management, Business, Marketing Management, Market Research, Marketing Design, Strategy and Operations, Media Strategy & Planning, Media Production, Design and Product, Strategy, Business Analysis, Market Analysis, Product Marketing, Customer Analysis, Advertising Sales, Business Development, Product Management, Advertising, Brand Management, MarTech, Influencing, Social Media, Business Design, Collaboration, Data Analysis, Finance, Public Relations, Search Engine Optimization, Web Design, Web Development, Business Psychology, Change Management, Customer Support, Human Learning, Journalism, Marketing Psychology, Packaging and Labeling, Product Design, Survey Creation, Visual Design, Accounting, Back-End Web Development, Big Data, Computer Graphics, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Human Computer Interaction, Product Development, Statistical Analysis, Supply Chain and Logistics, Virtual Reality
4.7
(21.9k avaliações)
Beginner · Specialization · 3-6 Months
Rutgers the State University of New Jersey
Supply Chain Management
Habilidades que você terá: Supply Chain and Logistics, Business Analysis, Spreadsheet Software, Basic Descriptive Statistics, Data Analysis, Forecasting, General Statistics, Operations Management, Probability & Statistics, Statistical Analysis, Inventory Management, Operational Analysis, Strategy and Operations, Procurement, Supplier Relationship Management, Operations Research, Supply Chain Systems, Entrepreneurship, Leadership and Management, Planning, Problem Solving, Transportation Operations Management, Data Visualization, Decision Making, Marketing, Sales, Statistical Visualization
4.7
(12.9k avaliações)
Beginner · Specialization · 3-6 Months
University of California, Davis
Data Visualization with Tableau
Habilidades que você terá: Data Visualization, Business Analysis, Data Visualization Software, Data Analysis, Tableau Software, Business Intelligence, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Software Visualization, Communication, Persona Research, Plot (Graphics), Research and Design, Storytelling, Exploratory Data Analysis, Geovisualization, Statistical Analysis, Visual Design, Probability & Statistics
4.5
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IBM Skills Network
IBM Machine Learning
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4.6
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Intermediate · Professional Certificate · 3-6 Months
University of Michigan
Applied Data Science with Python
Habilidades que você terá: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science
4.5
(33k avaliações)
Intermediate · Specialization · 3-6 Months
PwC
Data Analysis and Presentation Skills: the PwC Approach
Habilidades que você terá: Business Analysis, Spreadsheet Software, Microsoft Excel, Data Analysis, Business, Data Visualization, Basic Descriptive Statistics, Business Communication, Business Psychology, Communication, Culture, Entrepreneurship, Human Learning, Human Resources, Leadership and Management, People Development, Training, Data Visualization Software, Storytelling, Data Analysis Software, Regression, Databases, Data Science, General Statistics, Probability & Statistics, Big Data, Computer Programming, Data Management, Data Mining, Decision Making, Statistical Analysis
4.6
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Beginner · Specialization · 3-6 Months
IBM Skills Network
IBM Introduction to Machine Learning
Habilidades que você terá: Machine Learning, Machine Learning Algorithms, Regression, Data Analysis, General Statistics, Probability & Statistics, Theoretical Computer Science, Statistical Machine Learning, Algorithms, Dimensionality Reduction, Business Analysis, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Applied Machine Learning, Computer Vision, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Algebra, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Data Analysis Software, Data Visualization, Deep Learning, Estimation, Python Programming, SQL, Statistical Analysis, Statistical Programming, Statistical Tests
4.6
(1.3k avaliações)
Intermediate · Specialization · 3-6 Months
University of Pennsylvania
The Business of Health Care
Habilidades que você terá: Leadership and Management, Strategy and Operations, Accounting, Financial Accounting, Entrepreneurship, Finance, Business Psychology, People Management, Performance Management, Organizational Development, Business Analysis, Behavioral Economics, Change Management, Culture, Decision Making, Experiment, Human Resources, Innovation, Operational Analysis, Operations Management, Regulations and Compliance, Supply Chain and Logistics, Accounts Payable and Receivable, Data Analysis, Financial Analysis, Financial Management, Statistical Analysis, Marketing, Research and Design, Sales, Strategy
4.6
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Em resumo, aqui estão 10 dos nossos cursos mais populares statistical analysis

Search Engine Optimization (SEO): University of California, Davis
Genomic Data Science: Johns Hopkins University
Foundations of Positive Psychology: University of Pennsylvania
Introduction to Statistics: Stanford University
Digital Marketing: University of Illinois at Urbana-Champaign
Supply Chain Management: Rutgers the State University of New Jersey
Data Visualization with Tableau: University of California, Davis
IBM Machine Learning: IBM Skills Network
Applied Data Science with Python: University of Michigan
Data Analysis and Presentation Skills: the PwC Approach: PwC

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Perguntas frequentes sobre Análise estatística

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.‎

Este conteúdo de Perguntas frequentes foi disponibilizado apenas para fins informativos. Os aprendizes são aconselhados a realizar pesquisas adicionais para garantir que os cursos e outras credenciais buscadas atendam a seus objetivos pessoais, profissionais e financeiros.