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.

Parcourir
Analytics

Filtrer par

3332 résultats pour ''analytics'

IBM
Data Analysis and Visualization Foundations
Compétences que vous acquerrez : Analysis, Analytics, Apache, Big Data, Business Analysis, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Leadership and Management, NoSQL, Operating Systems, Plot (Graphics), Professional Development, Software, Spreadsheet Software, Statistical Visualization, System Programming
4.7
(9.6k avis)
Beginner · Specialization
Meta
Meta Marketing Analytics
Compétences que vous acquerrez : Accounting, Advertising, Algorithms, Analysis, Analytics, Basic Descriptive Statistics, Business Analysis, Communication, Computer Networking, Computer Programming, Data Analysis, Data Visualization, Digital Marketing, Econometrics, Entrepreneurship, Experiment, Exploratory Data Analysis, Finance, General Statistics, Google Analytics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market (Economics), Market Analysis, Market Research, Marketing, Marketing Strategy, Network Security, Operating Systems, Privacy, Probability & Statistics, Python Programming, Regulations and Compliance, Research and Design, Sales, Security Engineering, Security Strategy, Software Engineering, Software Testing, Statistical Analysis, Statistical Programming, Statistical Tests, Storytelling, Strategy, Strategy and Operations, System Security, Theoretical Computer Science, Web Development
4.7
(906 avis)
Beginner · Professional Certificate
University of Toronto
Gender Analytics: Gender Equity through Inclusive Design
Compétences que vous acquerrez : Analysis, Business Analysis, Business Research, Change Management, Conflict Management, Correlation And Dependence, Critical Thinking, Data Analysis, Data Management, Database Design, Databases, Design and Product, Entrepreneurship, General Statistics, Human Resources, Innovation, Leadership Development, Leadership and Management, Operations Research, People Analysis, Probability & Statistics, Research and Design, Sales, Statistical Analysis, Strategy and Operations
4.8
(292 avis)
Beginner · Specialization
Rutgers the State University of New Jersey
Supply Chain Analytics Essentials
Compétences que vous acquerrez : Data Analysis, Business Analysis, Sales, Big Data, Strategy and Operations, Supply Chain and Logistics, Supply Chain, Leadership and Management, Chaining, Analysis, Supply Chain Systems, Accounting, Data Management, Inventory Management, Operations Management, Financial Analysis, Analytics
4.5
(721 avis)
Beginner · Course

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

Business Analysis & Process Management: Coursera Project Network
Data Analysis and Visualization Foundations: IBM
Getting Started with Data Analytics on AWS: Amazon Web Services
Foundations of Marketing Analytics: Emory University
Accounting Analytics: University of Pennsylvania
Meta Marketing Analytics: Meta
Gender Analytics: Gender Equity through Inclusive Design: University of Toronto
Health Information Literacy for Data Analytics: University of California, Davis
Supply Chain Analytics: Rutgers the State University of New Jersey
Google Data Analytics Capstone: Complete a Case Study: Google

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.