What is data analytics?

Data analytics is the science and methodology of using qualitative and quantitative approaches to extracting valuable insights into data from big data sets. This process involves finding key data points, then categorizing the data to analyze connections, patterns, relationships, and other insights. Because data is used in almost every organization, data analytics is a key part of a company’s approach to learning more about its customers, competitors, market trends, and business processes. Data analytics is usually placed into four main sections—descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

Why is it valuable to learn data analytics?

Data analytics is valuable to learn because it helps businesses and organizations succeed in their work. Organizations can improve their business performance and increase efficiency as they uncover and learn about various business patterns through data analytics. Getting actionable answers from raw data is a big asset to companies, and is an in-demand business skill. When you learn data analytics, you could work in B2B and B2C commerce, manufacturing, finance, healthcare, and marketing companies, as they all use data analytics to gain better knowledge about their overall business, while improving processes and growing profits.

What are typical career opportunities that use data analytics?

Typical career opportunities that use data analytics are in jobs like a data analyst, quantitative analyst, data engineer, project manager, IT systems analyst, and many other similar roles involved in analyzing data. These roles are in high demand in technology companies, software agencies, large insurance companies, financial credit bureaus, consumer goods companies, financial firms, and cloud data companies. If you’re well-qualified, finding a career in data analytics isn’t difficult. But finding the right kind of company that knows what to do with data analytics effectively is important when working in this career.

How can taking online courses help me learn data analytics?

When you take online courses in data analytics, you could gain a clear understanding of the fundamentals of data analytics, the big data ecosystem, and key elements of data gathering and data mining. What you learn about data analytics in online courses may help you better understand databases and data warehouses and how to explore the various cloud data mining tools. You may also learn to effectively communicate the insights gleaned from data to internal teams. This could help you become a better decision-maker.

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2257 resultados referentes a "data analytics"

Google
Google Data Analytics
Habilidades que você terá: Algorithms, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, 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 Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design
4.8
(64.4k avaliações)
Beginner · Professional Certificate
IBM
IBM Data Analyst
Habilidades que você terá: Algebra, Analytics, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(50.7k avaliações)
Beginner · Professional Certificate
IBM
IBM Data Analytics with Excel and R
Habilidades que você terá: 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, Leadership and Management, Marketing, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Programming Principles, R Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.7
(9.9k avaliações)
Beginner · Professional Certificate
IBM
Introduction to Data Analytics
Habilidades que você terá: Big Data, Data Visualization Software, Business Analysis, Data Analysis, Leadership and Management, Data Structures, Extract, Transform, Load, Apache, Professional Development, Analytics, General Statistics, Databases, Analysis, Data Mining, NoSQL, Data Management, Data Visualization, Data Warehousing
4.8
(7k avaliações)
Beginner · Course
IBM
Data Analysis and Visualization Foundations
Habilidades que você terá: 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, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Professional Development, Software, Spreadsheet Software, Statistical Visualization, System Programming
4.7
(9.7k avaliações)
Beginner · Specialization
Google
Foundations: Data, Data, Everywhere
Habilidades que você terá: Data Analysis, Analysis, Business Analysis, Statistical Programming, Data Management, Software Engineering, Leadership and Management, Decision Making, Analytics, Entrepreneurship, Spreadsheet, Design and Product, Spreadsheet Software, Product Design, Data-Informed Decision-Making, Application Development, Data Visualization, SQL, Statistical Analysis, Databases
4.8
(46.5k avaliações)
Beginner · Course
University of Pennsylvania
Business Analytics
Habilidades que você terá: Accounting, Analysis, 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, Entrepreneurship, Financial Accounting, Financial Analysis, Forecasting, General Statistics, Human Resources, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Network Analysis, People Analysis, People Development, Performance Management, Predictive Analytics, Probability & Statistics, Regression, Regression Analysis, Sales, Spreadsheet Software, Statistical Analysis, Strategy, Strategy and Operations, Talent Management, Theoretical Computer Science
4.6
(16.6k avaliações)
Beginner · Specialization
IBM
IBM Data Science
Habilidades que você terá: Algebra, Algorithms, Analysis, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science
4.6
(94k avaliações)
Beginner · Professional Certificate
Duke University
Excel to MySQL: Analytic Techniques for Business
Habilidades que você terá: Algebra, Analysis, Analytics, Big Data, Business Analysis, Business Communication, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Data Visualization Software, Database Theory, Databases, Entrepreneurship, Exploratory Data Analysis, Finance, Financial Management, General Statistics, Investment Management, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Modeling, Probability & Statistics, Probability Distribution, Problem Solving, Regression, Research and Design, Risk Management, SQL, Spreadsheet Software, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
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Em resumo, aqui estão 10 dos nossos cursos mais populares data analytics

Google Data Analytics: Google
تحليلات البيانات من Google: Google
IBM Data Analyst: IBM
IBM Data Analytics with Excel and R: IBM
Introduction to Data Analytics: IBM
Data Analysis and Visualization Foundations: IBM
Foundations: Data, Data, Everywhere: Google
Excel Skills for Data Analytics and Visualization: Macquarie University
Business Analytics: University of Pennsylvania
IBM Data Science: IBM

Perguntas frequentes sobre Data Analytics

Data analytics is the science and methodology of using qualitative and quantitative approaches to extracting valuable insights into data from big data sets. This process involves finding key data points, then categorizing the data to analyze connections, patterns, relationships, and other insights. Because data is used in almost every organization, data analytics is a key part of a company’s approach to learning more about its customers, competitors, market trends, and business processes. Data analytics is usually placed into four main sections—descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.‎
Data analytics is valuable to learn because it helps businesses and organizations succeed in their work. Organizations can improve their business performance and increase efficiency as they uncover and learn about various business patterns through data analytics. Getting actionable answers from raw data is a big asset to companies, and is an in-demand business skill. When you learn data analytics, you could work in B2B and B2C commerce, manufacturing, finance, healthcare, and marketing companies, as they all use data analytics to gain better knowledge about their overall business, while improving processes and growing profits.‎
Typical career opportunities that use data analytics are in jobs like a data analyst, quantitative analyst, data engineer, project manager, IT systems analyst, and many other similar roles involved in analyzing data. These roles are in high demand in technology companies, software agencies, large insurance companies, financial credit bureaus, consumer goods companies, financial firms, and cloud data companies. If you’re well-qualified, finding a career in data analytics isn’t difficult. But finding the right kind of company that knows what to do with data analytics effectively is important when working in this career.‎
When you take online courses in data analytics, you could gain a clear understanding of the fundamentals of data analytics, the big data ecosystem, and key elements of data gathering and data mining. What you learn about data analytics in online courses may help you better understand databases and data warehouses and how to explore the various cloud data mining tools. You may also learn to effectively communicate the insights gleaned from data to internal teams. This could help you become a better decision-maker.‎

Este conteúdo de Perguntas frequentes foi disponibilizado apenas para fins informativos. Os aprendizes são aconselhados a realizar pesquisas adicionais para garantir que os cursos e outras credenciais buscadas atendam a seus objetivos pessoais, profissionais e financeiros.