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.

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2850 Ergebnisse für „data analyst“

Google
Google Data Analytics
Kompetenzen, die Sie erwerben: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
(100.9k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Data Analyst
Kompetenzen, die Sie erwerben: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Business Analysis, Basic Descriptive Statistics, Data Structures, Data Science, Statistical Programming, Spreadsheet Software, Data Management, General Statistics, Plot (Graphics), SQL, Statistical Visualization, Databases, Microsoft Excel, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Data Analysis Software, Data Visualization Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Computer Programming, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science
4.6
(60.6k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Data Science
Kompetenzen, die Sie erwerben: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Statistical Visualization, Database Application, Extract, Transform, Load, Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Computer Programming, Database Administration, Geovisualization, Plot (Graphics), Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing
4.6
(106k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Data Analysis and Visualization Foundations
Kompetenzen, die Sie erwerben: Data Analysis, Business Analysis, Spreadsheet Software, Data Visualization, Microsoft Excel, Data Management, Data Analysis Software, Data Science, Data Visualization Software, Plot (Graphics), Statistical Visualization, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Computer Programming, Extract, Transform, Load, Leadership and Management, Operating Systems, Professional Development, System Programming
4.7
(14.2k Bewertungen)
Beginner · Specialization · 3-6 Months
IBM Skills Network
IBM Data Analytics with Excel and R
Kompetenzen, die Sie erwerben: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, Business Analysis, SQL, Exploratory Data Analysis, Data Mining, Data Visualization Software, Databases, Basic Descriptive Statistics, Statistical Visualization, General Statistics, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Spreadsheet Software, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science
4.7
(14.7k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Introduction to Data Analytics
Kompetenzen, die Sie erwerben: Data Analysis, Data Management, Data Science, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Visualization, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Business Analysis, Data Visualization Software, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Professional Development
4.8
(10.1k Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
Google
Google Project Management:
Kompetenzen, die Sie erwerben: Strategy and Operations, Project Management, Leadership and Management, Communication, Entrepreneurship, Agile Software Development, Collaboration, Software Engineering, Human Resources, Scrum (Software Development), Finance, Leadership Development, Planning, Supply Chain and Logistics, Business Psychology, Change Management, Organizational Development, Product Management, Risk Management, Budget Management, Business Analysis, Business Communication, Business Process Management, Conflict Management, Data Analysis, Data Visualization, Design and Product, Operations Management, Spreadsheet Software, Storytelling, Writing, Application Development, Culture, Influencing, Marketing, Operations Research, Probability & Statistics, Problem Solving, Procurement, Product Design, Public Relations, Research and Design, Sales, Software Engineering Tools, Software Testing, Statistical Tests, Strategy, Supply Chain Systems, User Experience, Vendor Management
4.8
(73.9k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
University of California, Davis
Learn SQL Basics for Data Science
Kompetenzen, die Sie erwerben: SQL, Data Management, Statistical Programming, Apache, Big Data, Databases, Data Analysis, Data Analysis Software, Extract, Transform, Load, Data Warehousing, Machine Learning, Basic Descriptive Statistics, Computer Programming, Data Science, Exploratory Data Analysis, General Statistics, Leadership and Management, Probability & Statistics, Python Programming, Statistical Analysis
4.6
(15.2k Bewertungen)
Beginner · Specialization · 3-6 Months
University of Pennsylvania
Business Analytics
Kompetenzen, die Sie erwerben: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science
4.6
(17.1k Bewertungen)
Beginner · Specialization · 3-6 Months

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Zusammenfassend sind hier 10 unserer beliebtesten data analyst Kurse

Google Data Analytics: Google
IBM Data Analyst: IBM Skills Network
Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
IBM Data Science: IBM Skills Network
Data Analysis and Visualization Foundations: IBM Skills Network
IBM Data Analytics with Excel and R: IBM Skills Network
Introduction to Data Analytics: IBM Skills Network
Data Analyst Career Guide and Interview Preparation: IBM Skills Network
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Google Project Management:: Google

Häufig gestellte Fragen zum Thema 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.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.