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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Analytics

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「analytics」の3592件の結果

Google
Google Data Analytics
習得できるスキル： Algorithms, Analysis, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Data-Informed Decision-Making, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
（78.7k件のレビュー）
Beginner · Professional Certificate · 3-6 Months
University of Pennsylvania
Business Analytics
習得できるスキル： Accounting, Big Data, Business Analysis, Business Analytics, Business Psychology, Collaboration, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Customer Analysis, Data Analysis, Data Analysis Software, Data Management, Data Structures, Decision Making, Decision Tree, Entrepreneurship, Financial Accounting, Financial Analysis, Forecasting, General Statistics, Human Resources, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Network Analysis, People Analysis, People Development, Performance, Performance Management, Predictive Analytics, Probability & Statistics, Regression, Sales, Simulation, Spreadsheet Software, Statistical Analysis, Strategy, Strategy and Operations, Talent Management, Theoretical Computer Science
4.6
（16.8k件のレビュー）
Beginner · Specialization · 3-6 Months
Macquarie University
Excel Skills for Data Analytics and Visualization
習得できるスキル： Analysis, Business Analysis, Chart, Data Analysis, Data Analysis Software, Data Management, Data Model, Data Visualization, Extract, Transform, Load, Interactive Data Visualization, Interactivity, Microsoft Excel, Modeling, Spreadsheet Software
4.8
（3.2k件のレビュー）
Intermediate · Specialization · 3-6 Months
Rutgers the State University of New Jersey
Supply Chain Analytics
習得できるスキル： Accounting, Analysis, Analytics, Big Data, Budget Management, Business Analysis, Business Intelligence, Chaining, Data Analysis, Data Management, Entrepreneurship, Finance, Financial Analysis, Inventory Management, Leadership and Management, Marketing, Operations Management, Planning, Probability & Statistics, Regression, Sales, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics
4.6
（1.7k件のレビュー）
Beginner · Specialization · 3-6 Months
IBM Skills Network
Introduction to Data Analytics
習得できるスキル： Data Management, Databases, Data Analysis, Data Warehousing, Data Visualization Software, Extract, Transform, Load, Data Structures, Data Mining, General Statistics, Data Visualization, Leadership and Management, Professional Development, NoSQL, Apache, Analysis, Business Analysis, Analytics, Big Data
4.8
（8.2k件のレビュー）
Beginner · Course · 1-3 Months
Google
Google データアナリティクス
習得できるスキル： Basic Descriptive Statistics, Bayesian Statistics, Business Communication, Communication, Computer Networking, Data Analysis, Data Management, Data Visualization, Databases, Experiment, Financial Analysis, General Statistics, Network Security, Probability & Statistics, SQL, Security Engineering, Security Strategy, Statistical Programming
4.7
（55件のレビュー）
Beginner · Professional Certificate · 3-6 Months
Meta
Meta Marketing Analytics
習得できるスキル： 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, Financial Analysis, General Statistics, Google Analytics, Journalism, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market (Economics), Market Analysis, Market Research, Marketing, Network Security, Operating Systems, Privacy, Probability & Statistics, Python Programming, Regression, 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
（1.2k件のレビュー）
Beginner · Professional Certificate · 3-6 Months

analyticsに関連する検索

analytics for decision making

analytics en las organizaciones

analytics as a service for data sharing partners

marketing analytics

要約して、analytics の人気コース10選をご紹介します。

Google Data Analytics: Google
Business Analytics: University of Pennsylvania
Excel Skills for Data Analytics and Visualization: Macquarie University
Business Analytics for Managers MasterTrack® Certificate: Tufts University
Getting Started in Google Analytics: Coursera Project Network
Supply Chain Analytics: Rutgers the State University of New Jersey
Introduction to Data Analytics: IBM Skills Network
Data Analysis with R Programming: Google
Google データアナリティクス: Google
Meta Marketing Analytics: Meta

Business Essentialsで学べるスキル

アナリティクスに関するよくある質問

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.‎