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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2341 resultados referentes a "data analyst"

University of California, Irvine
Esports
Habilidades que você terá: Accounting, Advertising, Big Data, Business Analysis, Career, Change Management, Communication, Computer Architecture, Computer Networking, Data Analysis, Data Management, Entrepreneurship, Finance, Financial Analysis, Influencing, Leadership and Management, Marketing, Network Architecture, Personal Advertisement, Planning, Project Management, Sales, Social Media, Sports, Strategy, Strategy and Operations, Supply Chain and Logistics
4.6
(205 avaliações)
Beginner · Specialization · 1-3 Months
Google
Google UX Design
Habilidades que você terá: Accounting, Advertising, Brand Management, Business Analysis, Business Communication, Business Psychology, Change Management, Collaboration, Communication, Computer Programming, Data Analysis, Design and Product, Entrepreneurship, Experience, Finance, Financial Analysis, Human Computer Interaction, Interactive Design, Investment Management, Leadership and Management, Marketing, Operating Systems, Persona (User Experience), Planning, Presentation, Problem Solving, Product Design, Programming Principles, Research and Design, Sales, Social Media, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, User Experience, User Experience Design, User Interface, User Research, Visual Design, Web Design, Web Development
4.8
(40.9k avaliações)
Beginner · Professional Certificate · 3-6 Months
University of Pennsylvania
Finance & Quantitative Modeling for Analysts
Habilidades que você terá: Accounting, Accounts Payable and Receivable, Business Analysis, Corporate Bond, Data Analysis, Data Analysis Software, Design and Product, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Forecasting, General Accounting, General Statistics, Investment Management, Leadership and Management, Market Research, Marketing, Mathematics, Microsoft Excel, Probability & Statistics, Probability Distribution, Product Management, Product Marketing, Regression, Research and Design, Sales, Spreadsheet Software, Strategy, Strategy and Operations, Taxes
4.5
(14.5k avaliações)
Beginner · Specialization · 3-6 Months
University of Illinois at Urbana-Champaign
Data Mining
Habilidades que você terá: Algorithms, Applied Machine Learning, Bayesian Statistics, Bioinformatics, Business Psychology, Calculus, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Documents, Entrepreneurship, General Statistics, Geovisualization, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Probability & Statistics, Project Management, Python Programming, Recommender Systems, SQL, Software, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.5
(2.7k avaliações)
Intermediate · Specialization · 3-6 Months
Google
Google Digital Marketing & E-commerce
Habilidades que você terá: Accounting, Advertising, Algorithms, Analysis, Back-End Web Development, Benefits, Big Data, Business Analysis, Cloud Computing, Communication, Customer Relationship Management, Customer Success, Customer Support, Data Analysis, Data Management, Data Mining, Data Visualization, Digital Marketing, E-Commerce, Entrepreneurship, Finance, Financial Analysis, General Statistics, Human Computer Interaction, Human Resources, Leadership and Management, Market (Economics), Market Research, Marketing, Marketing Strategy, Mathematical Theory & Analysis, Mathematics, Media Strategy & Planning, Probability & Statistics, Research and Design, Sales, Search Engine Optimization, Shipping and Receiving, Social Media, Social Media Marketing, Software As A Service, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Theoretical Computer Science, User Experience, Web Development
4.8
(2.4k avaliações)
Beginner · Professional Certificate · 3-6 Months
Databricks
Applied Data Science for Data Analysts
Habilidades que você terá: Theoretical Computer Science, Applied Machine Learning, Machine Learning Algorithms, Data Structures, Algorithms, Machine Learning, Dimensionality Reduction, Statistical Classification, Mathematics, Data Management, Statistical Programming, Computer Programming, Supervised Learning, Data Clustering Algorithms, General Statistics, Probability & Statistics, Feature Engineering, Bias
4.3
(29 avaliações)
Intermediate · Course · 1-3 Months

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

Esports: University of California, Irvine
Google UX Design: Google
Finance & Quantitative Modeling for Analysts: University of Pennsylvania
Data Mining: University of Illinois at Urbana-Champaign
Google Digital Marketing & E-commerce: Google
Data Analysis Using Python: University of Pennsylvania
Discounted Cash Flow Modeling: Coursera Project Network
Data Visualization and Communication with Tableau: Duke University
Introduction to Microsoft Excel: Coursera Project Network
Applied Data Science for Data Analysts: Databricks

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.