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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2851 resultados referentes a "data analyst"

IBM Skills Network
Data Science Fundamentals with Python and SQL
Habilidades que você terá: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Statistical Tests, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Database Application, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Administration, Extract, Transform, Load, Computational Logic, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science
4.5
(52.7k avaliações)
Beginner · Specialization · 3-6 Months
IBM Skills Network
Introduction to Data Science
Habilidades que você terá: Data Science, Data Structures, SQL, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Statistical Programming, Databases, Python Programming, Database Theory, Data Visualization Software, R Programming, Data Management, Data Mining, Database Application, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Administration, Big Data, Computer Programming, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing
4.6
(77.1k avaliações)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Genomic Data Science
Habilidades que você terá: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing
4.5
(5.8k avaliações)
Intermediate · Specialization · 3-6 Months
Databricks
Data Science with Databricks for Data Analysts
Habilidades que você terá: Data Management, Apache, Algorithms, Computer Programming, Machine Learning, Probability & Statistics, Theoretical Computer Science, Data Analysis, Mathematics, Big Data, Databases, SQL, Data Science, Statistical Programming, Exploratory Data Analysis, Feature Engineering, Machine Learning Algorithms, Applied Machine Learning, General Statistics, Basic Descriptive Statistics, Extract, Transform, Load, Data Structures, Dimensionality Reduction, Business Analysis, Statistical Analysis
4.5
(456 avaliações)
Intermediate · Specialization · 3-6 Months
Gratuito
Stanford University
Introduction to Statistics
Habilidades que você terá: 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
(1.9k avaliações)
Beginner · Course · 1-3 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

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

Data Science Fundamentals with Python and SQL: IBM Skills Network
Introduction to Data Science: IBM Skills Network
Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
Getting Started in Google Analytics: Coursera Project Network
Using Basic Formulas and Functions in Microsoft Excel: Coursera Project Network
Conditional Formatting, Tables and Charts in Microsoft Excel: Coursera Project Network
Genomic Data Science: Johns Hopkins University
Data Science with Databricks for Data Analysts: Databricks
Introduction to Statistics: Stanford University
Construct Stock Market Indices: 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.