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': 2242

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University of London
Foundations of Data Science: K-Means Clustering in Python
Получаемые навыки: General Statistics, Machine Learning, Probability & Statistics, Theoretical Computer Science, Data Analysis, Statistical Programming, Computer Programming, K-Means Clustering, Python Programming, Data Clustering Algorithms, Machine Learning Algorithms, Algorithms
4.7
(рецензий: 397)
Beginner · Course · 1-3 Months
Databricks
Applied Data Science for Data Analysts
Получаемые навыки: Probability & Statistics, Mathematics, Data Structures, Theoretical Computer Science, Machine Learning, Data Management, Computer Programming, Data Clustering Algorithms, Statistical Programming, Feature Engineering, Applied Machine Learning, Machine Learning Algorithms, General Statistics, Algorithms, Mathematical Theory & Analysis
4.3
(рецензий: 29)
Intermediate · Course · 1-3 Months
University of Colorado System
Inclusive Leadership: The Power of Workplace Diversity
Получаемые навыки: Strategy, Accounting, Strategy and Operations, Human Resources, Investment Management, Sales, Emotional Intelligence, Communication, Financial Analysis, Data Analysis, Leadership, Entrepreneurship, Marketing, Leadership and Management, Leadership Development, Business Analysis, Finance
4.9
(рецензий: 1.6k)
Beginner · Course · 1-4 Weeks

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wrangling data for data analysts with python

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apache spark (tm) sql for data analysts

10 самых популярных курсов по запросу data analyst

Python for Data Analysis: Pandas & NumPy: Coursera Project Network
Foundations of Data Science: K-Means Clustering in Python: University of London
Corporate Finance I: Measuring and Promoting Value Creation: University of Illinois at Urbana-Champaign
Google Ads for Beginners: Coursera Project Network
Getting Started with Data Analytics on AWS: Amazon Web Services
BigQuery Soccer Data Analysis: Google Cloud
Tools for Data Science: IBM
BigQuery Soccer Data Analytical Insight: Google Cloud
Introduction to Designing Data Lakes on AWS: Amazon Web Services
Applied Data Science for Data Analysts: Databricks

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.