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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2905 Ergebnisse für „data analyst“

University of Pennsylvania
Introduction to Programming with Python and Java
Kompetenzen, die Sie erwerben: Computer Programming, Python Programming, Statistical Programming, Java Programming, Mobile Development, Data Analysis, Programming Principles, Theoretical Computer Science, Data Visualization, Plot (Graphics), Mathematics, Data Management, Data Structures, Software Engineering, Software Testing, Data Mining, Computational Thinking, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design, Data Science
4.4
(1.2k Bewertungen)
Beginner · Specialization · 3-6 Months
IBM Skills Network
IBM AI Engineering
Kompetenzen, die Sie erwerben: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Econometrics, Estimation, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics
4.6
(16k Bewertungen)
Intermediate · Professional Certificate · 3-6 Months
Google
Analitik Data Google
Kompetenzen, die Sie erwerben: Data Analysis, Business Analysis, Data Management, Statistical Programming, Databases, Spreadsheet Software, SQL, Research and Design, Strategy and Operations, Critical Thinking, Data Visualization, Computer Graphics, R Programming, Business Communication, Communication, Computer Programming, Leadership and Management, Graphic Design, Big Data, Plot (Graphics), Probability & Statistics, Theoretical Computer Science, Visualization (Computer Graphics), Data Structures, Entrepreneurship, Security Engineering, Tableau Software, Accounting, Computer Networking, Data Analysis Software, Data Model, Data Visualization Software, Exploratory Data Analysis, Financial Analysis, General Statistics, Human Resources, Microsoft Excel, Network Security, Problem Solving, Security Strategy, Statistical Visualization, Business Psychology, Business Transformation, Cloud Computing, Collaboration, Computer Programming Tools, Culture, Database Administration, Database Design, Decision Making, Emotional Intelligence, HTML and CSS, Human Computer Interaction, Interactive Design, Javascript, Knitr, Other Programming Languages, Other Web Frameworks, People Analysis, Process Analysis, Programming Principles, Small Data, Software Security, Web Development, Writing, Data Mining, Distributed Computing Architecture, Extract, Transform, Load, Journalism, Sales, Strategy, System Security
4.9
(1.2k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
Northwestern University
Social Media Marketing
Kompetenzen, die Sie erwerben: Marketing, Communication, Social Media, Digital Marketing, Media Strategy & Planning, Entrepreneurship, Market Research, Research and Design, Sales, Strategy, Strategy and Operations, Advertising, Leadership and Management, Marketing Management, Business Analysis, Customer Analysis, Influencing, Prospecting and Qualification, Writing, Brand Management, Business Psychology, Marketing Psychology, Data Analysis, Data Analysis Software, IBM Cloud, Other Cloud Platforms and Tools
4.6
(5.2k Bewertungen)
Beginner · Specialization · 3-6 Months
University of Illinois at Urbana-Champaign
Fundamentals of Accounting
Kompetenzen, die Sie erwerben: Accounting, Entrepreneurship, Financial Accounting, Leadership and Management, Finance, Management Accounting, Strategy and Operations, Decision Making, Business Analysis, Cost Accounting, Data Analysis, Financial Analysis, Sales, Account Management, Budget Management, Design and Product, Marketing, Product Management, Strategy, Audit, Cash Management, Financial Management, Business Psychology, Market Research, Organizational Development, Product Marketing, Research and Design, Accounts Payable and Receivable, General Accounting, Generally Accepted Accounting Principles (GAAP), Operations Management
4.7
(1.8k Bewertungen)
Beginner · Specialization · 3-6 Months
Duke University
Data Analysis with R
Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Statistical Analysis, Data Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Probability Distribution, Data Science, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization
4.7
(6.9k Bewertungen)
Beginner · Specialization · 3-6 Months
University of California, Irvine
Data Science Fundamentals
Kompetenzen, die Sie erwerben: Probability & Statistics, Data Analysis, General Statistics, Data Management, Theoretical Computer Science, Business Analysis, Human Resources, Regression, Big Data, Correlation And Dependence, Data Mining, Data Structures, Statistical Analysis, Advertising, Communication, Leadership and Management, Machine Learning, Natural Language Processing, Strategy and Operations
4.2
(163 Bewertungen)
Beginner · Specialization · 3-6 Months
ESSEC Business School
Strategic Business Analytics
Kompetenzen, die Sie erwerben: 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
(1.3k Bewertungen)
Advanced · Specialization · 3-6 Months
IBM Skills Network
Advanced Data Science with IBM
Kompetenzen, die Sie erwerben: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science
4.3
(3k Bewertungen)
Advanced · Specialization · 3-6 Months
DeepLearning.AI
AI For Everyone
Kompetenzen, die Sie erwerben: Machine Learning, Business Analysis, Applied Machine Learning, Business Transformation, Data Analysis, Data Model, Deep Learning, Exploratory Data Analysis, Forecasting, Human Computer Interaction, Natural Language Processing, People Analysis, Probability & Statistics, Reinforcement Learning, Statistical Analysis, Artificial Neural Networks, Machine Learning Algorithms
4.8
(37.9k Bewertungen)
Beginner · Course · 1-4 Weeks

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Zusammenfassend sind hier 10 unserer beliebtesten data analyst Kurse

Data Analysis with SQL: Inform a Business Decision: Coursera Project Network
Introduction to Programming with Python and Java: University of Pennsylvania
IBM AI Engineering: IBM Skills Network
Analitik Data Google: Google
Social Media Marketing: Northwestern University
Fundamentals of Accounting: University of Illinois at Urbana-Champaign
Data Analysis with R: Duke University
Data Science Fundamentals: University of California, Irvine
Strategic Business Analytics: ESSEC Business School
Advanced Data Science with IBM: IBM Skills Network

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.