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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3332 résultats pour ''analytics'

Gratuit
Pontificia Universidad Católica de Chile
Planificación y gestión estratégica para Pymes
Compétences que vous acquerrez : Strategy and Operations, Sales, Business Analysis, Supply Chain and Logistics, Data Analysis, Marketing, Business Process Management, Planning, Financial Management, Strategy, Entrepreneurship, Financial Analysis, Leadership and Management, Finance, Accounting
4.8
(303 avis)
Beginner · Course
Gratuit
Gratuit
Eindhoven University of Technology
Improving your statistical inferences
Compétences que vous acquerrez : Data Analysis, Probability & Statistics, Business Analysis, Bayesian Network, Statistical Inference, Euler'S Totient Function, Bayesian, Machine Learning, Experiment, Inference, Analysis, Hypothesis, General Statistics, Statistical Analysis, Statistical Hypothesis Testing, Statistical Tests, Hypothesis Testing, Bayesian Statistics
4.9
(721 avis)
Intermediate · Course
University of Cape Town
Fintech Startups in Emerging Markets
Compétences que vous acquerrez : Accounting, Advertising, Banking, BlockChain, Business Analysis, Business Design, Communication, Cryptography, Data Analysis, Entrepreneurship, FinTech, Finance, Financial Analysis, Financial Management, Machine Learning, Marketing, Modeling, Regulations and Compliance, Research and Design, Risk Management, Security Engineering, Theoretical Computer Science
4.6
(167 avis)
Beginner · Specialization
University of Washington
Data Science at Scale
Compétences que vous acquerrez : Accounting, Algebra, Big Data, Business Psychology, Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Data Structures, Databases, Econometrics, Entrepreneurship, Feature Engineering, Financial Analysis, General Statistics, Probability & Statistics, Python Programming, Regression, Statistical Programming
4.2
(898 avis)
Intermediate · Specialization

Recherches liées à analytics

analytics for decision making

analytics en las organizaciones

analytics as a service for data sharing partners

data analytics

business analytics

google analytics

marketing analytics

people analytics

En résumé, voici 10 de nos cours analytics les plus populaires

Python for Data Analysis: Pandas & NumPy: Coursera Project Network
Analyzing and Visualizing Data in Looker: Google Cloud
Planificación y gestión estratégica para Pymes: Pontificia Universidad Católica de Chile
Mercados financieros: Yale University
Improving your statistical inferences: Eindhoven University of Technology
Advanced Search Engine Optimization Strategies: University of California, Davis
Data Literacy: Johns Hopkins University
Data Science Methods for Quality Improvement: University of Colorado Boulder
Robotics: Aerial Robotics: University of Pennsylvania
Precalculus through Data and Modelling: Johns Hopkins University

Compétences que vous avez acquises en Business Essentials

Analytique (37)

Présentation (33)

Modélisation (29)

Business Analytics (27)

Communication Commerciale (16)

Prise De Décision (16)

Direction (15)

Questions fréquentes sur Analytique

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.‎

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.