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': 2339

University of Michigan
Fitting Statistical Models to Data with Python
Получаемые навыки: Logistic Regression, Regression, Machine Learning, Bayesian, Econometrics, General Statistics, Bayesian Statistics, Probability & Statistics, Correlation And Dependence, Machine Learning Algorithms, Statistical Analysis, Modeling, Analysis, Business Analysis, Supply Chain, Data Analysis
4.4
(рецензий: 608)
Intermediate · Course · 1-4 Weeks
SAS
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
Получаемые навыки: Theoretical Computer Science, Interactive Design, Computer Graphics, Forecasting, Probability & Statistics, Analysis, Data Visualization, Communication, Analytics, Gratitude, Statistical Programming, Geovisualization, Mapping, Data Analysis
4.8
(рецензий: 195)
Intermediate · Course · 1-4 Weeks

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

data science fundamentals for data analysts

applied data science for data analysts

data science with databricks for data analysts

10 самых популярных курсов по запросу data analyst

Multiple Regression Analysis in Public Health: Johns Hopkins University
Spatial Analysis and Satellite Imagery in a GIS: University of Toronto
Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
Fitting Statistical Models to Data with Python: University of Michigan
Global Disease Masterclass: Global Disease Distribution: Imperial College London
Curso final de análisis computacional de datos de Google: completa un caso práctico: Google
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics: SAS
Basics of Cost Accounting: Product Costing: Technische Universität München (TUM)
Data Science with R - Capstone Project: IBM Skills Network
Business Opportunities and Risks in a Globalized Economy: IE Business School

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.