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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2850 resultados referentes a "data analyst"

SAP
SAP Technology Consultant
Habilidades que você terá: Cloud Computing, Entrepreneurship, Business Analysis, Business Process Management, Leadership and Management, Software As A Service, Strategy and Operations, Business Transformation, Software Engineering, Cloud Applications, Agile Software Development, Application Development, Applied Machine Learning, Cloud Platforms, Databases, Design and Product, Machine Learning, Problem Solving, Process Analysis, Product Design, Project Management, Research and Design, Software Architecture, Theoretical Computer Science, Communication, Customer Analysis, Finance, Operations Management, Planning, Sales, Supply Chain and Logistics
4.8
(66 avaliações)
Beginner · Professional Certificate · 3-6 Months
Meta
Meta Database Engineer
Habilidades que você terá: Statistical Programming, Computer Programming, Data Management, Databases, Python Programming, SQL, Programming Principles, Software Engineering, Theoretical Computer Science, Database Administration, Database Application, Application Development, Computer Programming Tools, Software Architecture, Software Engineering Tools, Database Design, Database Theory, Software Testing, Data Analysis, Data Structures, Human Computer Interaction, Javascript, User Experience, Web Development, Applied Machine Learning, Business Analysis, Collaboration, Communication, Entrepreneurship, Exploratory Data Analysis, Leadership and Management, Linux, Machine Learning, Market Research, Operating Systems, Probability & Statistics, Research and Design, Accounting, Algorithms, Computer Science, Data Model, Data Warehousing, Django (Web Framework), Financial Analysis, Journalism, Mathematics, Operations Research, Other Programming Languages, Project Management, Strategy and Operations
4.7
(1.8k avaliações)
Beginner · Professional Certificate · 3-6 Months
Google
Foundations: Data, Data, Everywhere
Habilidades que você terá: Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering
4.8
(73.1k avaliações)
Beginner · Course · 1-3 Months
Meta
Meta iOS Developer
Habilidades que você terá: Computer Programming, Web Development, Mobile Development, Javascript, Swift Programming, Software Engineering, Programming Principles, Front-End Web Development, Human Computer Interaction, Theoretical Computer Science, User Experience, Application Development, React (web framework), iOS Development, Mobile Development Tools, Business Psychology, Computer Programming Tools, Design and Product, Research and Design, User Experience Design, Cross Platform Development, Data Management, Data Structures, Software Engineering Tools, Software Testing, User Research, Communication, Computer Graphics, Interactive Design, Leadership and Management, Software Architecture, Visual Design, General Accounting, Accounting, Algorithms, Android Development, Back-End Web Development, Collaboration, Computational Logic, Computer Architecture, Entrepreneurship, Graphic Design, Hardware Design, Linux, Mathematical Theory & Analysis, Mathematics, Operating Systems, Other Programming Languages, Problem Solving, Project Management, Software Framework, Strategy and Operations, Web Design, Algebra, Computer Networking, Computer Science, Django (Web Framework), Human Resources, Java Programming, Journalism, Leadership Development, Operations Research, Planning, Supply Chain and Logistics
4.7
(1.8k avaliações)
Beginner · Professional Certificate · 3-6 Months
Gratuito
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Habilidades que você terá: 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
(3.6k avaliações)
Intermediate · Course · 1-4 Weeks
Johns Hopkins University
A Crash Course in Data Science
Habilidades que você terá: Data Science, Exploratory Data Analysis, Basic Descriptive Statistics, Data Analysis, Data Analysis Software, Data Mining, Experiment, General Statistics, Machine Learning, Software Engineering, Software Framework, Business Analysis, Communication, Probability & Statistics, Writing
4.5
(8k avaliações)
Beginner · Course · 1-4 Weeks

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

SAP Technology Consultant: SAP
Data Analysis Using Python: University of Pennsylvania
Meta Database Engineer: Meta
Construct Stock Market Indices: Coursera Project Network
Foundations: Data, Data, Everywhere: Google
Meta iOS Developer: Meta
Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
Excel Fundamentals for Data Analysis: Macquarie University
A Crash Course in Data Science: Johns Hopkins University
Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network

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.