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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3402 résultats pour ''analytics'

Salesforce
Salesforce Sales Operations
Compétences que vous acquerrez : Account Management, B2B Sales, Business Analysis, Cloud Computing, Cloud Platforms, Communication, Customer Relationship Management, Customer Success, Data Visualization, Databases, Digital Marketing, Entrepreneurship, Finance, Influencing, Leadership and Management, Market Analysis, Market Research, Marketing, Marketing Management, Operations Management, Prospecting and Qualification, Research and Design, Sales, Salesforce, Software As A Service, Spreadsheet Software, Strategy, Strategy and Operations
4.6
(464 avis)
Beginner · Professional Certificate · 3-6 Months
ESSEC Business School
Strategic Business Analytics
Compétences que vous acquerrez : Analysis, Analytics, Big Data, Business Analysis, Communication, Data Analysis, Data Management, Exploratory Data Analysis, Financial Analysis, Forecasting, Leadership and Management, Market (Economics), Market Analysis, Marketing, Probability & Statistics, R Programming, Statistical Analysis, Statistical Programming
4.3
(1.2k avis)
Advanced · Specialization · 3-6 Months
Rice University
Business Statistics and Analysis
Compétences que vous acquerrez : Analysis, Basic Descriptive Statistics, Business Analysis, Computer Programming, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Mining, Data Visualization, Econometrics, Experiment, General Statistics, Mathematics, Microsoft Excel, Plot (Graphics), Probability & Statistics, Probability Distribution, Regression, Regression Analysis, Spreadsheet Software, Statistical Analysis, Statistical Tests, Statistical Visualization
4.7
(11.2k avis)
Beginner · Specialization · 3-6 Months
SAS
SAS Visual Business Analytics
Compétences que vous acquerrez : Accounting, Analysis, Analytics, Business Analysis, Communication, Computer Graphics, Data Analysis, Data Mining, Data Visualization, Forecasting, Geovisualization, Interactive Data Visualization, Interactive Design, Machine Learning, Natural Language Processing, Probability & Statistics, SAS (Software), Software, Statistical Programming, Theoretical Computer Science
4.7
(927 avis)
Beginner · Professional Certificate · 3-6 Months

Recherches liées à analytics

analytics for decision making

analytics en las organizaciones

analytics as a service for data sharing partners

marketing analytics

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

Salesforce Sales Operations: Salesforce
Strategic Business Analytics: ESSEC Business School
Business Statistics and Analysis: Rice University
SAS Visual Business Analytics: SAS
Create a Custom Marketing Analytics Dashboard in Data Studio: Coursera Project Network
Introduction to Data Analytics: Meta
Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
Customer Analytics: University of Pennsylvania
How to Analyze Tweet Engagement with Twitter Analytics: Coursera Project Network
Custom Reports in Google Analytics: Coursera Project Network

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.