Analytics is the system of applying certain methods and techniques to understand the performance of data, generally in an organization or industry. The application of analytics can be used to uncover and interpret relevant patterns of data, which can be later used to make better decisions. Analytics relies on good data as part of its usefulness, as well as the aspects of statistics, computer programming, and operations research to quantify performance. Analytics exists in business when companies use statistics and software processes in assessing how a particular product, service, or project measures up in scope. Businesses perform analytics to pinpoint strengths, identify challenges or weaknesses that may exist, and pull out key data points to help make decisions regarding future growth for the organization.

Learning analytics is a key skill that helps you solve problems to existing challenges. When you use analytics tools to research data patterns, you use methods of analyzing performance characteristics that are essential to a business organization. This is important in today's world of big data. Understanding analytics can make you a valuable asset when assessing areas rich with recorded information, performance indicators, and target goals.

What are typical careers that use analytics?

Analytics is found in a wide range of careers, including business analyst, budget analyst, financial controller, data scientist, and operations researcher. Individuals who move into these and other careers in data analytics often work with raw data and algorithms through mechanical processes to make assumptions and theories. Essentially, with knowledge of analytics, you can move into a job that requires a familiarity with numeric relationships, data structures, and trends and metrics relevant to an organization.

How can taking online courses on Coursera help me learn analytics?

When you take online courses in analytics, you can gain a new understanding of key concepts like data analysis and visualization, mathematical optimization, regression analysis, predictive modeling, and other areas focused on business analytics. Taking online courses about analytics can help you achieve basic data literacy to help you make more informed decisions in any area you work in, like finance, operations, or marketing. As you branch out, you may advance your analytics understanding to include how to extract and manipulate data points, how to use different statistical analysis methods to break down the data, and how to eventually interpret and present your findings.

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4122 resultados para "analytics"

University of Chicago
Machine Learning for Analytics MasterTrack™ Certificate
Habilidades que obtendrás: Probability & Statistics, Machine Learning, General Statistics, Business Analysis, Data Analysis, Statistical Analysis, Experiment, Probability Distribution, Python Programming, Applied Machine Learning, Regression, Statistical Tests, Advertising, Algebra, Communication, Data Management, Data Structures, Linear Algebra, Machine Learning Algorithms, Marketing, Theoretical Computer Science
Crédito ofrecido
Mastertrack · 6-12 Months
University of Michigan
Applied Data Science with Python
Habilidades que obtendrás: 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
(32.9k reseñas)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM Data Science
Habilidades que obtendrás: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Statistical Visualization, Database Application, Extract, Transform, Load, Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Computer Programming, Database Administration, Geovisualization, Plot (Graphics), Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing
4.6
(106k reseñas)
Beginner · Professional Certificate · 3-6 Months
Google
Google UX Design
Habilidades que obtendrás: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Leadership and Management, Research and Design, Problem Solving, Collaboration, Computer Science, Business Psychology, Computer Graphics, Entrepreneurship, Interactive Design, Brand Management, Change Management, Communication, Emotional Intelligence, Marketing, Marketing Design, Planning, Product Design, Professional Development, Social Media, User Research, Web Design, Accounting, Advertising, Business Analysis, Business Communication, Computer Programming, Data Analysis, Finance, Financial Analysis, Investment Management, Operating Systems, Programming Principles, Sales, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Visual Design, Web Development
4.8
(57.7k reseñas)
Beginner · Professional Certificate · 3-6 Months
LearnQuest
Key Technologies in Data Analytics
Habilidades que obtendrás: Data Management, Data Analysis, Big Data, Cloud Computing, Computer Networking, Data Warehousing, Databases, Human Resources, Operating Systems, Software As A Service, Systems Design, Theoretical Computer Science, Business Analysis, Data Visualization, Extract, Transform, Load, Design and Product, Entrepreneurship, Leadership and Management, Marketing, Process Analysis, Product Marketing, Research and Design, Sales, Strategy, Strategy and Operations
4.0
(73 reseñas)
Beginner · Specialization · 3-6 Months
University of Illinois at Urbana-Champaign
Accounting Data Analytics
Habilidades que obtendrás: Python Programming, Statistical Programming, Data Analysis, Probability & Statistics, Business Analysis, Machine Learning, Computer Programming, Data Visualization, General Statistics, Regression, Theoretical Computer Science, Data Structures, Plot (Graphics), Accounting, Data Management, Statistical Analysis, Algorithms, Databases, SQL, Basic Descriptive Statistics, Correlation And Dependence, Critical Thinking, Data Visualization Software, Management Accounting, Microsoft Excel, Research and Design, Spreadsheet Software, Strategy and Operations, Tableau Software, Taxes, Database Administration, Forecasting, Machine Learning Algorithms, Statistical Visualization, Audit, Data Analysis Software, Data Architecture, Financial Accounting, Financial Analysis, Operating Systems, Systems Design
4.7
(497 reseñas)
Intermediate · Specialization · 3-6 Months
Gratis
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Habilidades que obtendrás: Business Analysis, Computer Programming, Data Analysis, Financial Analysis, Python Programming, Statistical Programming, Finance, Investment Management, Probability & Statistics, Probability Distribution, Statistical Analysis, Basic Descriptive Statistics, Correlation And Dependence, General Statistics, Regression, Risk Management, Securities Trading, Statistical Tests, Accounting, Estimation
4.4
(3.6k reseñas)
Intermediate · Course · 1-4 Weeks
University at Buffalo
Applied Analytics and Data for Decision Making
Habilidades que obtendrás: Leadership and Management, Data Analysis, Entrepreneurship, Strategy and Operations, Business Analysis, Business Psychology, Database Administration, Databases, Operations Management, Operations Research, Organizational Development, Research and Design, Security Engineering, Software Security, Statistical Analysis, Computer Graphics
4.6
(79 reseñas)
Beginner · Course · 1-4 Weeks
University of Illinois at Urbana-Champaign
Introduction to Business Analytics with R
Habilidades que obtendrás: R Programming, Statistical Programming, Data Analysis, Exploratory Data Analysis, Basic Descriptive Statistics, Business Analysis, Data Analysis Software, Extract, Transform, Load, Spreadsheet Software, Statistical Analysis, Statistical Visualization, Business Intelligence, Data Structures
4.6
(152 reseñas)
Beginner · Course · 1-4 Weeks

Búsquedas relacionadas con analytics

analytics for decision making

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data analytics

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hr analytics

En síntesis, estos son los 10 cursos más populares analytics

Machine Learning for Analytics MasterTrack™ Certificate: University of Chicago
Excel Skills for Data Analytics and Visualization: Macquarie University
Applied Data Science with Python: University of Michigan
IBM Data Science: IBM Skills Network
Google UX Design: Google
Key Technologies in Data Analytics: LearnQuest
Data Analytics in the Public Sector with R: University of Michigan
Accounting Data Analytics: University of Illinois at Urbana-Champaign
Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
Getting Started with Data Analytics on AWS: Amazon Web Services

Habilidades que puedes aprender en Business Essentials

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Comunicación Empresarial (16)

Toma De Decisiones (16)

Liderazgo (15)

Preguntas frecuentes sobre Análisis

Analytics is the system of applying certain methods and techniques to understand the performance of data, generally in an organization or industry. The application of analytics can be used to uncover and interpret relevant patterns of data, which can be later used to make better decisions. Analytics relies on good data as part of its usefulness, as well as the aspects of statistics, computer programming, and operations research to quantify performance.
Analytics exists in business when companies use statistics and software processes in assessing how a particular product, service, or project measures up in scope. Businesses perform analytics to pinpoint strengths, identify challenges or weaknesses that may exist, and pull out key data points to help make decisions regarding future growth for the organization.‎
Learning analytics is a key skill that helps you solve problems to existing challenges. When you use analytics tools to research data patterns, you use methods of analyzing performance characteristics that are essential to a business organization. This is important in today's world of big data. Understanding analytics can make you a valuable asset when assessing areas rich with recorded information, performance indicators, and target goals.‎
Analytics is found in a wide range of careers, including business analyst, budget analyst, financial controller, data scientist, and operations researcher. Individuals who move into these and other careers in data analytics often work with raw data and algorithms through mechanical processes to make assumptions and theories. Essentially, with knowledge of analytics, you can move into a job that requires a familiarity with numeric relationships, data structures, and trends and metrics relevant to an organization.‎
When you take online courses in analytics, you can gain a new understanding of key concepts like data analysis and visualization, mathematical optimization, regression analysis, predictive modeling, and other areas focused on business analytics.
Taking online courses about analytics can help you achieve basic data literacy to help you make more informed decisions in any area you work in, like finance, operations, or marketing. As you branch out, you may advance your analytics understanding to include how to extract and manipulate data points, how to use different statistical analysis methods to break down the data, and how to eventually interpret and present your findings.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.