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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1887 resultados referentes a "statistical analysis"

University of Amsterdam
Methods and Statistics in Social Sciences
Habilidades que você terá: General Statistics, Probability & Statistics, Statistical Tests, R Programming, Statistical Programming, Correlation And Dependence, Probability Distribution, Regression, Basic Descriptive Statistics, Experiment, Algebra, Exploratory Data Analysis, Machine Learning, Scientific Visualization, Research and Design, Data Analysis, Statistical Visualization, Linear Algebra, Plot (Graphics), Statistical Analysis, Business Analysis, Estimation
4.6
(7.1k avaliações)
Beginner · Specialization · 3-6 Months
Google
Analyze Data to Answer Questions
Habilidades que você terá: Business, Business Analysis, Data Science, SQL, Spreadsheet Software, Statistical Programming, Data Analysis, Statistical Analysis, Algorithms, Computer Networking, Data Management, Databases, Extract, Transform, Load, Feature Engineering, Machine Learning, Network Security, Security Engineering, Security Strategy, Theoretical Computer Science
4.6
(7.2k avaliações)
Beginner · Course · 1-4 Weeks
University System of Georgia
Six Sigma Yellow Belt
Habilidades que você terá: Strategy and Operations, Business Analysis, Business Process Management, Entrepreneurship, Data Analysis, Probability & Statistics, Operations Management, Statistical Analysis, Performance Management, Basic Descriptive Statistics, General Statistics, Operational Analysis, Supply Chain and Logistics, Business Psychology, Leadership and Management, Process Analysis, Project Management, Research and Design, Correlation And Dependence, Data Visualization, Probability Distribution, Collaboration, Communication, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Operations Research, Plot (Graphics), Regression, Statistical Tests, Survey Creation, Conflict Management, Design and Product, Human Resources, Organizational Development, Problem Solving, Product Management, Product Strategy, Training, Business Intelligence, Critical Thinking, Mathematics, Software Engineering, Software Testing, Strategy
4.6
(8.3k avaliações)
Beginner · Specialization · 3-6 Months
IBM Skills Network
NoSQL, Big Data, and Spark Foundations
Habilidades que você terá: Big Data, Data Architecture, Apache, Data Management, Databases, NoSQL, Distributed Computing Architecture, Database Theory, Database Administration, Data Structures, Database Application, Data Model, Computer Architecture, Data Analysis, Extract, Transform, Load, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Database Design, Data Warehousing, SQL, Cloud Applications, Cloud Computing, DevOps, Kubernetes, Network Architecture, Other Programming Languages, Algorithms, Computational Thinking, Computer Networking, Computer Programming, IBM Cloud, Mathematics, Theoretical Computer Science
4.3
(306 avaliações)
Beginner · Specialization · 3-6 Months
Google Cloud
Machine Learning on Google Cloud
Habilidades que você terá: Machine Learning, Cloud Computing, Computer Programming, Statistical Programming, Python Programming, Applied Machine Learning, Feature Engineering, Google Cloud Platform, Tensorflow, Deep Learning, Probability & Statistics, Data Analysis, Entrepreneurship, Artificial Neural Networks, Computer Architecture, Exploratory Data Analysis, Regression, Data Science, Apache, Basic Descriptive Statistics, Bayesian Statistics, Computational Thinking, Data Management, Data Visualization, Distributed Computing Architecture, General Statistics, Hardware Design, Machine Learning Algorithms, Machine Learning Software, SQL, Statistical Machine Learning, Statistical Visualization, Theoretical Computer Science, Algorithms, Business Analysis, Business Psychology, Data Analysis Software, Dimensionality Reduction, Full-Stack Web Development, Information Technology, Natural Language Processing, Statistical Analysis, Web Development
4.5
(9.4k avaliações)
Intermediate · Specialization · 3-6 Months
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Habilidades que você terá: Computer Programming, Other Programming Languages, Linear Algebra, Mathematics, Matlab, Data Analysis, Data Analysis Software, Algorithms, Theoretical Computer Science, Computer Graphic Techniques, Computer Graphics, Data Visualization, Machine Learning, Plot (Graphics), Probability & Statistics, Regression, Basic Descriptive Statistics, Computer Vision, Dimensionality Reduction, General Statistics, Exploratory Data Analysis, Leadership and Management, Programming Principles, Statistical Analysis
4.8
(17k avaliações)
Beginner · Specialization · 3-6 Months
University of Virginia
Pricing Strategy Optimization
Habilidades que você terá: Strategy, Sales, Marketing, Business Analysis, Leadership and Management, Strategy and Operations, Entrepreneurship, Customer Analysis, Design and Product, Product Management, Product Strategy, Market Research, Product Marketing, Research and Design, Market Analysis, Accounting, Cost Accounting, Business Psychology, Finance, Investment Management, Marketing Psychology, Retail Sales, B2B Sales, Game Theory, Mathematics, Product Lifecycle, Regulations and Compliance, General Statistics, Probability & Statistics, Data Analysis, Statistical Analysis, Human Computer Interaction, Management Accounting, Regression, User Research
4.8
(833 avaliações)
Beginner · Specialization · 3-6 Months
Google
Data Analysis with R Programming
Habilidades que você terá: Data Science, R Programming, Statistical Programming, Data Visualization, Statistical Visualization, Data Analysis, Data Analysis Software, Business Analysis, Computer Programming, Computer Programming Tools, Plot (Graphics), Statistical Analysis, Visualization (Computer Graphics)
4.8
(6.4k avaliações)
Beginner · Course · 1-3 Months
IBM Skills Network
Applied Data Science with R
Habilidades que você terá: R Programming, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Data Mining, Data Visualization, SQL, Basic Descriptive Statistics, General Statistics, Data Management, Data Visualization Software, Databases, Interactive Data Visualization, Statistical Analysis, Statistical Programming, Statistical Visualization, Probability & Statistics, Data Analysis Software, Database Theory, Regression, Statistical Tests, Big Data, Software Visualization, Data Structures, User Experience, Machine Learning, Probability Distribution, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Data Architecture, Data Model, Database Administration, Database Application, Database Design, Visualization (Computer Graphics), Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Science, Extract, Transform, Load, Marketing, Programming Principles, Theoretical Computer Science
4.5
(545 avaliações)
Beginner · Specialization · 3-6 Months
EDHEC Business School
Investment Management with Python and Machine Learning
Habilidades que você terá: Finance, Computer Programming, Investment Management, Python Programming, Statistical Programming, Data Analysis, Machine Learning, Probability & Statistics, Data Analysis Software, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Data Mining, Natural Language Processing, Risk Management, Applied Machine Learning, Regression, Mathematics, Network Analysis, Leadership and Management, Accounting, Business Analysis, Computer Science, Financial Analysis, Statistical Analysis
4.6
(1.6k avaliações)
Beginner · Specialization · 3-6 Months
University of Illinois at Urbana-Champaign
Business Data Management and Communication
Habilidades que você terá: Accounting, Data Management, Financial Accounting, General Accounting, Business Analysis, Data Analysis, Leadership and Management, Business Communication, Communication, Marketing, R Programming, Statistical Programming, Accounts Payable and Receivable, Data Visualization, Data Visualization Software, Exploratory Data Analysis, Storytelling, Basic Descriptive Statistics, Behavioral Economics, Big Data, Business Intelligence, Business Psychology, Data Analysis Software, Data Mining, Database Administration, Databases, Extract, Transform, Load, Generally Accepted Accounting Principles (GAAP), Sales, Security Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Visualization, Budget Management, Data Structures, Finance, Innovation, Strategy, Taxes
4.7
(5.5k avaliações)
Intermediate · Specialization · 3-6 Months
University of Illinois at Urbana-Champaign
Financial Management
Habilidades que você terá: Accounting, Finance, Financial Accounting, Investment Management, Business Analysis, Data Analysis, Financial Analysis, Risk Management, Corporate Accouting, Financial Management, General Accounting, Accounts Payable and Receivable, General Statistics, Probability & Statistics, Forecasting, Generally Accepted Accounting Principles (GAAP), Leadership and Management, Regression, Securities Sales, Taxes, Basic Descriptive Statistics, Data Analysis Software, Mergers & Acquisitions, Statistical Analysis
4.7
(6.2k avaliações)
Intermediate · Specialization · 3-6 Months

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Em resumo, aqui estão 10 dos nossos cursos mais populares statistical analysis

Methods and Statistics in Social Sciences: University of Amsterdam
Analyze Data to Answer Questions: Google
Six Sigma Yellow Belt: University System of Georgia
NoSQL, Big Data, and Spark Foundations: IBM Skills Network
Machine Learning on Google Cloud: Google Cloud
MATLAB Programming for Engineers and Scientists: Vanderbilt University
Pricing Strategy Optimization: University of Virginia
Data Analysis with R Programming: Google
Applied Data Science with R: IBM Skills Network
Investment Management with Python and Machine Learning: EDHEC Business School

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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.