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': 2853

Johns Hopkins University
Data Science: Foundations using R
Получаемые навыки: R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)
4.6
(рецензий: 47.2k)
Beginner · Specialization · 3-6 Months
SAP
SAP Technology Consultant
Получаемые навыки: Business Analysis, Cloud Computing, Entrepreneurship, Leadership and Management, Business Process Management, Business Transformation, Software As A Service, Strategy and Operations, Software Engineering, Cloud Applications, Agile Software Development, Application Development, Applied Machine Learning, Cloud Platforms, Computer Programming, Computer Programming Tools, 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
(рецензий: 70)
Beginner · Professional Certificate · 3-6 Months
Meta
Meta Database Engineer
Получаемые навыки: Statistical Programming, SQL, Computer Programming, Databases, Python Programming, Programming Principles, Software Engineering, Software Engineering Tools, Data Management, Theoretical Computer Science, Software Testing, Algorithms, Computer Programming Tools, Database Administration, Database Application, Entrepreneurship, Market Research, Research and Design, Data Structures, Database Design, Javascript, Software Architecture, Web Development, Accounting, Application Development, Applied Machine Learning, Business Analysis, Collaboration, Communication, Computational Thinking, Computer Science, Data Analysis, Data Model, Data Warehousing, Database Theory, Django (Web Framework), Exploratory Data Analysis, Financial Analysis, Human Computer Interaction, Journalism, Leadership and Management, Linux, Machine Learning, Mathematics, Operating Systems, Operations Research, Other Programming Languages, Probability & Statistics, Project Management, Strategy and Operations, User Experience
4.7
(рецензий: 1.9k)
Beginner · Professional Certificate · 3-6 Months
Google
Foundations: Data, Data, Everywhere
Получаемые навыки: 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
(рецензий: 73.6k)
Beginner · Course · 1-3 Months
ESSEC Business School
Strategic Business Analytics
Получаемые навыки: Probability & Statistics, Marketing, Business Analysis, Data Analysis, Exploratory Data Analysis, General Statistics, Statistical Analysis, Forecasting, Basic Descriptive Statistics, Financial Analysis, Market Analysis, Regression, Accounting, Big Data, Business Communication, Communication, Computer Graphics, Data Analysis Software, Data Management, Data Mining, Data Visualization, Entrepreneurship, Graphics Software, Leadership and Management, Planning, R Programming, SQL, Sales, Statistical Programming, Statistical Visualization, Storytelling, Strategy, Strategy and Operations, Supply Chain and Logistics
4.3
(рецензий: 1.3k)
Advanced · Specialization · 3-6 Months
Johns Hopkins University
A Crash Course in Data Science
Получаемые навыки: 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
(рецензий: 8k)
Beginner · 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

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

Data Analysis Using Python: University of Pennsylvania
Introduction to Microsoft Excel: Coursera Project Network
Data Science: Foundations using R: Johns Hopkins University
SAS Programmer: SAS
SAP Technology Consultant: SAP
Meta Database Engineer: Meta
Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
Foundations: Data, Data, Everywhere: Google
Strategic Business Analytics: ESSEC Business School
Excel Fundamentals for Data Analysis: Macquarie University

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.