What is a data analyst?

A data analyst is a person whose job is to gather and interpret data in order to solve a specific problem. The role includes plenty of time spent with data, but entails communicating findings too. A data analyst gathers, cleans, and studies data sets to help solve problems. Read our career guide article about what data analysts do .

Why is it valuable to learn how to be a data analyst?

It is valuable to learn about how to be a data analyst because companies in almost every industry would benefit from the work done by data analysts. The insights brought forth by data analysts are extremely valuable to employers who want to learn more about customers, marketing trends, and future scenarios. Data analysts are responsible for the ground-level work of seeing trends and patterns that help businesses eventually decide to make major organizational moves.

What are typical career opportunities available for a data analyst?

Typical career opportunities for data analysts are in major insurance companies; large technology companies like Oracle, IBM, and Siemens; financial credit bureaus; consumer and B2B technology firms; financial firms; and cloud data companies. Data analysts can find jobs in a variety of roles in creative fields as well, as data is researched and used in the marketing, advertising, broadcasting, and film industries too.

How can taking online courses help me learn to be a data analyst?

When you take online courses to be a data analyst, you have the opportunity to learn how to use statistical techniques to acquire data from key sources. You might also uncover key data analysis concepts in Python programming, data science, pivot tables, data visualization, and more. Online courses can expose you to new insights on how to identify, analyze, filter, clean, and report on data that show trends or patterns that have been researched in complex data sets.

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2295 resultados referentes a "data analyst"

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
Gratuito
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
Google
Google Project Management:
Habilidades que você terá: Agile Software Development, Analysis, Application Development, Budget Management, Business Analysis, Business Process Management, Business Psychology, Change Management, Communication, Culture, Data Analysis, Data Visualization, Design and Product, Entrepreneurship, Finance, Human Resources, Leadership Development, Leadership and Management, Marketing, Operations Management, Operations Research, Organizational Development, Planning, Probability & Statistics, Procurement, Product Design, Project, Project Management, Project Plan, Public Relations, Research and Design, Risk, Risk Management, Sales, Scrum (Software Development), Software Engineering, Software Engineering Tools, Software Testing, Spreadsheet Software, Statistical Tests, Storytelling, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, User Experience, Vendor Management, Writing
4.8
(46.8k avaliações)
Beginner · Professional Certificate
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

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Em resumo, aqui estão 10 dos nossos cursos mais populares data analyst

Google Data Analytics: Google
IBM Data Analyst: IBM
IBM Data Analytics with Excel and R: IBM
Introduction to Data Analytics: IBM
Excel Skills for Data Analytics and Visualization: Macquarie University
Learn SQL Basics for Data Science: University of California, Davis
Data Analysis and Visualization Foundations: IBM
Data Analyst Career Guide and Interview Preparation: IBM
IBM Data Science: IBM
Google Project Management:: Google

Perguntas frequentes sobre Data Analyst

It is valuable to learn about how to be a data analyst because companies in almost every industry would benefit from the work done by data analysts. The insights brought forth by data analysts are extremely valuable to employers who want to learn more about customers, marketing trends, and future scenarios. Data analysts are responsible for the ground-level work of seeing trends and patterns that help businesses eventually decide to make major organizational moves.‎
Typical career opportunities for data analysts are in major insurance companies; large technology companies like Oracle, IBM, and Siemens; financial credit bureaus; consumer and B2B technology firms; financial firms; and cloud data companies. Data analysts can find jobs in a variety of roles in creative fields as well, as data is researched and used in the marketing, advertising, broadcasting, and film industries too.‎
When you take online courses to be a data analyst, you have the opportunity to learn how to use statistical techniques to acquire data from key sources. You might also uncover key data analysis concepts in Python programming, data science, pivot tables, data visualization, and more. Online courses can expose you to new insights on how to identify, analyze, filter, clean, and report on data that show trends or patterns that have been researched in complex data sets.‎

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.