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'

Coursera Project Network
Tesla Stock Price Prediction using Facebook Prophet
Compétences que vous acquerrez : Accounting, General Statistics, Advertising, Computer Program, Marketing, Plotly, Financial Analysis, Analysis, Forecasting, Communication, Financial Data Analysis, Probability & Statistics, Data Visualization, Business Analysis, Data Analysis, Stock
4.5
(50 avis)
Beginner · Guided Project · Less Than 2 Hours
Gratuit
University of Illinois at Urbana-Champaign
Applying Data Analytics in Marketing
Compétences que vous acquerrez : Entrepreneurship, Design and Product, Network Analysis, Market Research, Research and Design, User Research, Mathematics, Statistical Analysis, Natural Language Processing, Graph Theory, Data Mining, Machine Learning, Probability & Statistics, Business Analysis, Human Computer Interaction, Data Analysis, Market (Economics), Analysis
4.5
(127 avis)
Intermediate · Course · 1-4 Weeks
Rutgers the State University of New Jersey
Supply Chain Analytics Essentials
Compétences que vous acquerrez : Strategy and Operations, Accounting, Big Data, Financial Analysis, Analytics, Data Management, Supply Chain Systems, Leadership and Management, Chaining, Sales, Inventory Management, Operations Management, Analysis, Supply Chain, Business Analysis, Data Analysis, Supply Chain and Logistics
4.5
(740 avis)
Beginner · Course · 1-4 Weeks
IBM Skills Network
IBM Data Analytics with Excel and R
Compétences que vous acquerrez : Advertising, Analysis, Analytics, Apache, Big Data, Business Analysis, Communication, Computational Logic, 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, Interactive Data Visualization, Leadership and Management, Marketing, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Programming Principles, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.7
(10.7k 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

Information Visualization: Applied Perception: New York University
HR Analytics- Build an HR dashboard using Power BI: Coursera Project Network
Tesla Stock Price Prediction using Facebook Prophet: Coursera Project Network
Create a Sales Dashboard using Power BI: Coursera Project Network
Visualizing Citibike Trips with Tableau: Coursera Project Network
Create an interactive fiction adventure game with Python: Coursera Project Network
Human Resources Analytics: University of California, Irvine
Administração Financeira: Insper
Applying Data Analytics in Marketing: University of Illinois at Urbana-Champaign
Supply Chain Analytics Essentials: Rutgers the State University of New Jersey

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.