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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2848 Ergebnisse für „data analyst“

Macquarie University
Excel Skills for Business
Kompetenzen, die Sie erwerben: Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis, Data Visualization, Plot (Graphics), Basic Descriptive Statistics, Computational Logic, Computer Architecture, Data Analysis Software, Data Management, Data Mining, Data Visualization Software, Extract, Transform, Load, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science
4.9
(56k Bewertungen)
Beginner · Specialization · 3-6 Months
Kostenlos
Yale University
Financial Markets
Kompetenzen, die Sie erwerben: Finance, Banking, Investment Management, Risk Management, Securities Trading, Financial Management, Regulations and Compliance, Securities Sales, Underwriting, Business Psychology, Behavioral Economics, Accounting, Adaptability, Budget Management, Innovation, Media Strategy & Planning, Resilience, Taxes, Business Analysis, Business Process Management, Corporate Accouting, Data Analysis, Entrepreneurship, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Probability & Statistics, Statistical Tests, Strategy and Operations
4.8
(24.2k Bewertungen)
Beginner · Course · 1-3 Months
University of Virginia
Digital Product Management
Kompetenzen, die Sie erwerben: Design and Product, Agile Software Development, Software Engineering, Leadership and Management, Product Management, Computer Science, Entrepreneurship, Strategy and Operations, Product Development, Scrum (Software Development), Business Analysis, Data Analysis, User Experience, Product Design, Strategy, Business Intelligence, Business Process Management, Continuous Delivery, DevOps, Human Computer Interaction, Marketing, Operations Management, Persona Research, Project Management, Research and Design, Sales, Software Testing, Supply Chain Systems, Supply Chain and Logistics, User Research
4.7
(8.7k Bewertungen)
Beginner · Specialization · 3-6 Months
University of Virginia
Leading the Modern Day Business
Kompetenzen, die Sie erwerben: Entrepreneurship, Strategy and Operations, Leadership and Management, Strategy, Marketing, Sales, Business Analysis, Business Transformation, Design and Product, Product Management, Business Process Management, Business Design, Product Development, Research and Design, Human Computer Interaction, Process Analysis, Project Management, User Experience, User Experience Design, Agile Software Development, Internet Of Things, Market Analysis, Big Data, BlockChain, Cloud Computing, Computer Architecture, Computer Graphics, Computer Networking, Creativity, Data Analysis, Data Management, Finance, Innovation, Interactive Design, Network Architecture, Problem Solving, Software Engineering, Supply Chain and Logistics
4.7
(18.6k Bewertungen)
Beginner · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Kompetenzen, die Sie erwerben: Cloud Computing, Computer Architecture, Data Management, Google Cloud Platform, Cloud Platforms, Machine Learning, Big Data, Distributed Computing Architecture, Hardware Design, SQL, Information Technology, Data Science, Apache, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Cloud Management, Databases, Full-Stack Web Development, Python Programming, Web Development, Computer Programming, Statistical Programming, Applied Machine Learning, Computer Science, Computer Networking, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
4.6
(17.7k Bewertungen)
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Kompetenzen, die Sie erwerben: Cloud Computing, Data Management, Computer Architecture, Cloud Platforms, Google Cloud Platform, Big Data, Distributed Computing Architecture, Machine Learning, SQL, Apache, Data Science, Hardware Design, Extract, Transform, Load, Cloud Storage, Full-Stack Web Development, Web Development, Databases, Information Technology, Python Programming, Statistical Programming, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Applied Machine Learning, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
4.6
(17.4k Bewertungen)
Intermediate · Specialization · 3-6 Months
Google
Prepare Data for Exploration
Kompetenzen, die Sie erwerben: Data Analysis, Exploratory Data Analysis, Spreadsheet Software, Data Structures, SQL, Computer Architecture, Computer Networking, Computer Programming, Cryptography, Data Management, Data Model, Database Administration, Database Design, Databases, Distributed Computing Architecture, Full-Stack Web Development, Network Security, Programming Principles, Security Engineering, Security Strategy, Software Security, Statistical Programming, Theoretical Computer Science, Web Development
4.8
(13k Bewertungen)
Beginner · Course · 1-3 Months
Johns Hopkins University
Data Science
Kompetenzen, die Sie erwerben: R Programming, Data Analysis, Statistical Programming, Data Science, General Statistics, Statistical Analysis, Probability & Statistics, Statistical Tests, Machine Learning, Exploratory Data Analysis, Basic Descriptive Statistics, Machine Learning Software, Linear Algebra, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Regression, Data Visualization Software, Software Visualization, Statistical Visualization, Probability Distribution, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Plot (Graphics), Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Machine Learning Algorithms, Software Engineering Tools, Spreadsheet Software, Algorithms, Application Development, Applied Machine Learning, Business Analysis, Data Management, Extract, Transform, Load, Knitr
4.5
(49.8k Bewertungen)
Beginner · Specialization · 3-6 Months
IBM
Security Analyst Fundamentals
Kompetenzen, die Sie erwerben: Security Engineering, Cyberattacks, Computer Security Incident Management, Network Security, System Security, Computer Programming, Other Programming Languages, Python Programming, Security Strategy, DevOps, Mobile Security, Network Model, Operating Systems, Software Security, Agile Software Development, Computer Networking, Data Analysis, Database Administration, Databases, Entrepreneurship, Leadership and Management, Marketing, Mathematics, Mobile Development, Network Analysis, Sales, Security Software, Software Engineering, Software Testing, Statistical Programming, Strategy, Strategy and Operations
4.7
(3k Bewertungen)
Beginner · Specialization · 3-6 Months
Amazon Web Services
AWS Cloud Solutions Architect
Kompetenzen, die Sie erwerben: Amazon Web Services, Cloud Computing, Data Management, Information Technology, Cloud Infrastructure, Extract, Transform, Load, Cloud Applications, Data Analysis, Data Warehousing, Big Data, Cloud API, Cloud Engineering, Cloud Load Balancing, Cloud Management, Cloud Storage, Computer Architecture, Computer Programming, Data Engineering, Data Visualization, Distributed Computing Architecture, Full-Stack Web Development, Operating Systems, Software Architecture, Software Engineering, Software Framework, System Programming, Theoretical Computer Science, Web Development, Accounting, Computer Networking, Databases, Generally Accepted Accounting Principles (GAAP), Leadership and Management, Machine Learning, Network Security, SQL, Security Engineering
4.7
(3.4k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
Johns Hopkins University
Data Science: Foundations using R
Kompetenzen, die Sie erwerben: 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
(47.2k Bewertungen)
Beginner · Specialization · 3-6 Months

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Zusammenfassend sind hier 10 unserer beliebtesten data analyst Kurse

Excel Skills for Business: Macquarie University
Financial Markets: Yale University
Digital Product Management: University of Virginia
Leading the Modern Day Business: University of Virginia
AI in Healthcare: Stanford University
Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
Prepare Data for Exploration: Google
Data Science: Johns Hopkins University
Security Analyst Fundamentals: IBM

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.