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.

검색
Analytics

필터링 기준

"analytics"에 대한 4133개의 결과

IBM Skills Network
IBM Data Science
획득할 기술: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Database Application, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Administration, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing
4.6
(106.2k개의 검토)
Beginner · Professional Certificate · 3-6 Months
Google
Google UX Design
획득할 기술: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Leadership and Management, Research and Design, Problem Solving, Web Design, Collaboration, Computer Science, User Research, Web Development, Web Development Tools, Brand Management, Change Management, Communication, Emotional Intelligence, Marketing, Marketing Design, Planning, Product Design, Professional Development, Social Media, Accounting, Advertising, Business Analysis, Business Communication, Business Psychology, Computer Programming, Data Analysis, Entrepreneurship, Finance, Financial Analysis, Interactive Design, Investment Management, Operating Systems, Programming Principles, Sales, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Visual Design
4.8
(58k개의 검토)
Beginner · Professional Certificate · 3-6 Months
LearnQuest
Key Technologies in Data Analytics
획득할 기술: Data Management, Data Analysis, Big Data, Cloud Computing, Computer Networking, Data Warehousing, Databases, Human Resources, Operating Systems, Software As A Service, Systems Design, Theoretical Computer Science, Data Visualization, Extract, Transform, Load, Business Analysis, Design and Product, Entrepreneurship, Leadership and Management, Marketing, Process Analysis, Product Marketing, Research and Design, Sales, Strategy, Strategy and Operations
4.0
(74개의 검토)
Beginner · Specialization · 3-6 Months
University of Illinois at Urbana-Champaign
Accounting Data Analytics
획득할 기술: Python Programming, Statistical Programming, Data Analysis, Probability & Statistics, Machine Learning, Computer Programming, Data Visualization, General Statistics, Regression, Theoretical Computer Science, Data Structures, Plot (Graphics), Accounting, Statistical Analysis, Algorithms, Databases, SQL, Statistical Visualization, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Critical Thinking, Data Management, Data Visualization Software, Management Accounting, Microsoft Excel, Spreadsheet Software, Taxes, Visualization (Computer Graphics), Database Administration, Forecasting, Machine Learning Algorithms, Audit, Data Analysis Software, Data Architecture, Financial Accounting, Financial Analysis, Operating Systems, Research and Design, Strategy and Operations, Systems Design, Tableau Software
4.7
(497개의 검토)
Intermediate · Specialization · 3-6 Months
Google
Google Data Analytics (PT)
획득할 기술: Data Analysis, Business Analysis, Data Management, Statistical Programming, Databases, Process Analysis, Data Visualization, SQL, Entrepreneurship, Leadership and Management, Probability & Statistics, Spreadsheet Software, Exploratory Data Analysis, Computer Programming, R Programming, Visualization (Computer Graphics), Problem Solving, Research and Design, Communication, Computer Architecture, Decision Making, Extract, Transform, Load, Programming Principles, Security Engineering, Strategy and Operations, Big Data, Computer Graphics, Interactive Data Visualization, Microsoft Excel, Theoretical Computer Science, Correlation And Dependence, Human Resources, Marketing, Sales, Security Strategy, Statistical Visualization, Storytelling, Strategy, Tableau Software, Business Psychology, Collaboration, Data Analysis Software, Data Structures, Distributed Computing Architecture, Graphic Design, Operating Systems, People Analysis, Plot (Graphics), Project Management, System Security, Accounting, Algorithms, Calculus, Cloud Computing, Computer Networking, Computer Programming Tools, Cryptography, Culture, Database Administration, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Knitr, Mathematics, Network Security, Other Programming Languages, Regulations and Compliance, Small Data, Software Security, Web Development, Business Communication, Data Mining, Journalism, Leadership Development, Networking Hardware
4.9
(1.3k개의 검토)
Beginner · Professional Certificate · 3-6 Months
무료
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
획득할 기술: Business Analysis, Computer Programming, Data Analysis, Financial Analysis, Python Programming, Statistical Programming, Finance, Investment Management, Probability & Statistics, Probability Distribution, Statistical Analysis, Basic Descriptive Statistics, Correlation And Dependence, General Statistics, Regression, Risk Management, Securities Trading, Statistical Tests, Accounting, Estimation
4.4
(3.6k개의 검토)
Intermediate · Course · 1-4 Weeks
무료
University of London
The Manager's Toolkit: A Practical Guide to Managing People at Work
획득할 기술: Human Resources, Leadership and Management, People Management, Compensation, Conflict Management, Decision Making, Human Resources Operations, People Analysis, Performance Management, Recruitment, Strategy and Operations, Business Psychology, Entrepreneurship, People Development
4.7
(3.3k개의 검토)
Mixed · Course · 1-3 Months
무료
Stanford University
Introduction to Statistics
획득할 기술: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization
4.5
(1.9k개의 검토)
Beginner · Course · 1-3 Months
무료
University of Amsterdam
Data Analytics for Lean Six Sigma
획득할 기술: Probability & Statistics, Data Visualization, General Statistics, Statistical Visualization, Data Analysis, Basic Descriptive Statistics, Correlation And Dependence, Statistical Tests, Probability Distribution, Regression, Statistical Analysis, Business Analysis, Business Psychology, Entrepreneurship, Experiment, Leadership and Management, Minitab, Operations Management, Organizational Development, Planning, Plot (Graphics), Statistical Programming, Strategy and Operations, Supply Chain and Logistics
4.8
(3k개의 검토)
Beginner · Course · 1-3 Months

analytics과(와) 관련된 검색

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

요약하자면, 여기에 가장 인기 있는 analytics 강좌 10개가 있습니다.

IBM Data Science: IBM Skills Network
Google UX Design: Google
Key Technologies in Data Analytics: LearnQuest
Data Analytics in the Public Sector with R: University of Michigan
Accounting Data Analytics: University of Illinois at Urbana-Champaign
Excel Skills for Data Analytics and Visualization: Macquarie University
Google Data Analytics (PT): Google
Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
The Manager's Toolkit: A Practical Guide to Managing People at Work: University of London
Introduction to Statistics: Stanford University

Business Essentials에서 학습할 수 있는 스킬

분석에 대한 자주 묻는 질문

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.‎