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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4211 Ergebnisse für „analytics“

University of Pennsylvania
Accounting Analytics
Kompetenzen, die Sie erwerben: Accounting, Business Analysis, Data Analysis, Financial Analysis, Financial Accounting, Finance, Regulations and Compliance, Forecasting, Generally Accepted Accounting Principles (GAAP), Probability & Statistics, Process Analysis, Statistical Analysis, Leadership and Management
4.5
(2.9k Bewertungen)
Mixed · Course · 1-4 Weeks
University of Pennsylvania
Operations Analytics
Kompetenzen, die Sie erwerben: Business Analysis, Correlation And Dependence, Data Analysis, Forecasting, General Statistics, Operational Analysis, Operations Management, Operations Research, Probability & Statistics, Probability Distribution, Research and Design, Spreadsheet Software, Statistical Analysis, Strategy and Operations, Supply Chain and Logistics, Basic Descriptive Statistics, Data Visualization, Microsoft Excel, Plot (Graphics), Statistical Tests, Statistical Visualization, Accounting, Applied Mathematics, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Management, Data Structures, Decision Making, Entrepreneurship, Leadership and Management, Theoretical Computer Science
4.7
(4.9k Bewertungen)
Mixed · Course · 1-4 Weeks
University of Virginia
Marketing Analytics
Kompetenzen, die Sie erwerben: Marketing, Business Analysis, Market Analysis, Brand Management, Communication, Customer Analysis, Market Research, Marketing Management, Research and Design, Benefits, Change Management, Compensation, Conflict Management, Correlation And Dependence, Customer Relationship Management, Digital Marketing, FinTech, Finance, Financial Management, HR Tech, Human Resources Operations, Investment Management, Leadership Development, Marketing Design, Mergers & Acquisitions, Payments, Probability & Statistics, Professional Development, Recruitment, Regression, Regulations and Compliance, Risk Management, Securities Sales, Securities Trading, Statistical Analysis, Talent Management, Underwriting, Entrepreneurship, Experiment, General Statistics, Leadership and Management, Sales, Strategy, Strategy and Operations
4.7
(6.3k Bewertungen)
Beginner · Course · 1-3 Months

Suchanfragen mit Bezug zu 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

hr analytics

Zusammenfassend sind hier 10 unserer beliebtesten analytics Kurse

Data Visualization and Communication with Tableau: Duke University
Accounting Analytics: University of Pennsylvania
Analyzing Company Performance using Ratios: Coursera Project Network
Human Resources Analytics: University of California, Irvine
Business Analytics Executive Overview: University of Illinois at Urbana-Champaign
Visual Analytics with Tableau: University of California, Davis
Operations Analytics: University of Pennsylvania
Analytics en las organizaciones: Universidad de los Andes
HR Analytics- Build an HR dashboard using Power BI: Coursera Project Network
Create a Custom Marketing Analytics Dashboard in Data Studio: Coursera Project Network

Fähigkeiten, die Sie bei Business Essentials erlernen können

Analytik (37)

Präsentation (33)

Modellierung (29)

Unternehmensanalytik (27)

Business-Kommunikation (16)

Entscheidungsfindung (16)

Leitung (15)

Häufig gestellte Fragen zum Thema Analytik

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.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.