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.

Обзор
Data Analyst

Фильтр

Результатов для запроса ''data analyst': 2851

Universidad de Palermo
Administración de Empresas
Получаемые навыки: Marketing, Strategy and Operations, Accounting, Sales, Entrepreneurship, Human Resources, Leadership and Management, Strategy, Account Management, Business Analysis, Business Process Management, Econometrics, Finance, Probability & Statistics, Audit, Behavioral Economics, Business Communication, Business Psychology, Communication, Cost Accounting, Data Analysis, Design and Product, FinTech, Financial Analysis, Project Management, Business, Professional Development, Supply Chain and Logistics
4.8
(рецензий: 999)
Beginner · Specialization · 3-6 Months
Бесплатно
The State University of New York
Practical Time Series Analysis
Получаемые навыки: General Statistics, Probability & Statistics, Forecasting, Statistical Programming, Computer Programming, R Programming, Data Analysis, Algorithms, Correlation And Dependence, Data Visualization, Machine Learning, Mathematics, Plot (Graphics), Programming Principles, Statistical Analysis, Statistical Machine Learning, Statistical Tests, Theoretical Computer Science, Basic Descriptive Statistics, Bayesian Statistics, Data Analysis Software, Data Mining, Estimation, Experiment, Exploratory Data Analysis, Probability Distribution, Regression
4.6
(рецензий: 1.6k)
Intermediate · Course · 1-3 Months
Бесплатно
Universitat de Barcelona
Oceanography: a key to better understand our world
Получаемые навыки: Data Visualization, Business Analysis, Computer Vision, Epidemiology, Geovisualization, Machine Learning, Mathematics, Probability & Statistics, Strategy and Operations, Algorithms, Bioinformatics, Computer Graphic Techniques, Computer Graphics, Data Analysis, Graph Theory, Mathematical Theory & Analysis, Operations Management, Process Analysis, Scientific Visualization, Spatial Data Analysis, Theoretical Computer Science
4.5
(рецензий: 235)
Mixed · Course · 1-3 Months
University of Illinois at Urbana-Champaign
Global Challenges in Business
Получаемые навыки: Leadership and Management, Entrepreneurship, Marketing, Strategy and Operations, Research and Design, Strategy, Market Research, Business Psychology, Culture, Sales, Business Analysis, Design and Product, Critical Thinking, Human Resources, Investment Management, Leadership Development, Data Analysis, Decision Making, Human Computer Interaction, Marketing Psychology, Product Lifecycle, User Research, Brand Management, Customer Analysis, Finance, Market Analysis, Operations Research, Supply Chain Systems, Supply Chain and Logistics
4.7
(рецензий: 888)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Data Literacy
Получаемые навыки: Probability & Statistics, General Statistics, Research and Design, Data Analysis, Machine Learning, Regression, Basic Descriptive Statistics, Correlation And Dependence, Data Visualization, Feature Engineering, Probability Distribution, Survey Creation, Statistical Analysis
4.6
(рецензий: 159)
Beginner · Specialization · 3-6 Months

Результаты поиска, связанного с data analyst

data analyst career guide and interview preparation

ibm data analyst professional certificate

ibm data analyst

ibm data analyst capstone project

wrangling data for data analysts with python

using python as a data analyst

applied data science for data analysts

data science fundamentals for data analysts

10 самых популярных курсов по запросу data analyst

Administración de Empresas: Universidad de Palermo
Practical Time Series Analysis: The State University of New York
Oceanography: a key to better understand our world: Universitat de Barcelona
ADP Accountant Connect Certification: Automatic Data Processing, Inc. (ADP)
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective): Columbia University
Análise de Dados para Workforce Management: Fundação Instituto de Administração
Global Challenges in Business: University of Illinois at Urbana-Champaign
Introduction to advanced tomography: Technical University of Denmark (DTU)
Code Free Data Science: University of California San Diego
Multilevel Modeling: Erasmus University Rotterdam

Часто задаваемые вопросы на тему 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.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.