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': 2292

Бесплатно
University of London
Foundations of Data Science: K-Means Clustering in Python
Получаемые навыки: Machine Learning, Machine Learning Algorithms, Algorithms, Statistical Programming, Theoretical Computer Science, General Statistics, Data Clustering Algorithms, Python Programming, Probability & Statistics, Computer Programming, Data Analysis, K-Means Clustering
4.7
(рецензий: 405)
Beginner · Course
University of Illinois at Urbana-Champaign
Applying Data Analytics in Finance
Получаемые навыки: Finance, Other Programming Languages, Business Analysis, R Programming, Forecasting, Accounting, General Statistics, Analysis, Statistical Programming, Financial Analysis, Computer Programming, Data Analysis, Probability & Statistics, Regression
4.5
(рецензий: 188)
Intermediate · Course
Johns Hopkins University
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
Получаемые навыки: Human Resources, Patient, Business Psychology, Leadership and Management, Strategy and Operations, Evaluation, Measurement, Entrepreneurship, Analysis, People Development, Performance, Change Management, Data Analysis
4.7
(рецензий: 67)
Mixed · Course
DeepLearning.AI
Analyze Datasets and Train ML Models using AutoML
Получаемые навыки: General Statistics, Data Management, Algorithms, Programming Principles, Python Programming, Computer Programming Tools, Natural Language Processing, Machine Learning, Data Analysis Software, Deep Learning, Theoretical Computer Science, Statistical Programming, Analysis, Data Analysis, Probability & Statistics, Exploratory Data Analysis, Computer Programming, Extract, Transform, Load
4.5
(рецензий: 255)
Advanced · Course
Google
Foundations of User Experience (UX) Design
Получаемые навыки: Financial Analysis, Business Analysis, Finance, Personal Branding, User-Centered Design, Marketing, Web Design, Communication, Problem Solving, Design and Product, User Experience Design, Experience, Investment Management, Personal Advertisement, Social Media, Entrepreneurship, User Experience, Brand Management, Accounting, Leadership and Management, Web Development, Business Psychology, Data Analysis, Research and Design, Human Computer Interaction
4.8
(рецензий: 29.6k)
Beginner · Course
Бесплатно
University of Washington
Computational Neuroscience
Получаемые навыки: Communication, Python Programming, Reinforcement Learning, Linear Algebra, Other Programming Languages, Machine Learning Algorithms, Marketing, Machine Learning, Data Analysis Software, Deep Learning, Modeling, Statistical Programming, Neuroscience, Computer Programming, Probability & Statistics, Mathematics, Data Analysis, Artificial Neural Networks
4.6
(рецензий: 934)
Beginner · Course
Google
Foundations of Digital Marketing and E-commerce
Получаемые навыки: Marketing Strategy, Communication, Marketing, Customer Success, Finance, Data Visualization, Entrepreneurship, Market Research, Brand Management, Analysis, Digital Marketing, Research and Design, Sales, Data Analysis, E-Commerce, Strategy and Operations, Customer Relationship Management, Social Media
4.8
(рецензий: 790)
Beginner · Course

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10 самых популярных курсов по запросу data analyst

Tableau Public for Project Management and Beyond: Coursera Project Network
Ask Questions to Make Data-Driven Decisions: Google
Foundations of Data Science: K-Means Clustering in Python: University of London
Applying Data Analytics in Finance: University of Illinois at Urbana-Champaign
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI): Johns Hopkins University
Analyze Website Visitors with Google Analytics Segments: Coursera Project Network
Getting Started with Kaggle: Coursera Project Network
Fundamentals of Visualization with Tableau: University of California, Davis
Analyze Datasets and Train ML Models using AutoML: DeepLearning.AI
Foundations of User Experience (UX) Design: Google

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.