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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2930 Ergebnisse für „data analyst“

Google
Ask Questions to Make Data-Driven Decisions
Kompetenzen, die Sie erwerben: Business Analysis, Data Analysis, Communication, Big Data, Business Communication, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, Data Management, Leadership and Management, Small Data, Spreadsheet Software, Budget Management, Data Mining, Decision Making, Entrepreneurship, Finance, Problem Solving, Project Management
4.7
(23.6k Bewertungen)
Beginner · Course · 1-4 Weeks
IBM Skills Network
Supervised Machine Learning: Regression
Kompetenzen, die Sie erwerben: Machine Learning, Regression, Statistical Machine Learning, Human Resources, Leadership Development, Leadership and Management, Machine Learning Algorithms, Algebra, Basic Descriptive Statistics, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Mathematics, Statistical Analysis, Statistical Tests
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Kostenlos
IBM Skills Network
Applied AI with DeepLearning
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4.4
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IBM Skills Network
Data Scientist Career Guide and Interview Preparation
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IBM Skills Network
Data Science with R - Capstone Project
Kompetenzen, die Sie erwerben: R Programming, Data Analysis, Data Mining, Plot (Graphics), Basic Descriptive Statistics, Data Visualization, General Statistics, Interactive Data Visualization, Regression, Statistical Visualization, Data Visualization Software, Estimation, Exploratory Data Analysis, Geovisualization, Linear Algebra, Machine Learning, Probability & Statistics, SAS (Software), SQL, Spatial Data Analysis, Statistical Analysis, Statistical Tests, Business Analysis, Data Management, Data Science, Extract, Transform, Load, Statistical Programming
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IBM
AI Workflow: Machine Learning, Visual Recognition and NLP
Kompetenzen, die Sie erwerben: Machine Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Statistical Machine Learning, Algebra, Computer Vision, Data Engineering, Data Science, Deep Learning, Econometrics, Mathematics, Python Programming, Tensorflow
4.4
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Advanced · Course · 1-4 Weeks
Google
Google UX Design
Kompetenzen, die Sie erwerben: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Research and Design, Web Design, Web Development, Collaboration, Computer Science, Leadership and Management, Software Engineering, Software Testing, User Research, Web Development Tools, Brand Management, Change Management, Communication, Computer Graphics, Computer Programming, Emotional Intelligence, Interactive Design, Market Research, Marketing, Marketing Design, Planning, Problem Solving, Product Design, Professional Development, Programming Principles, Social Media, Accounting, Business Analysis, Business Communication, Business Psychology, Data Analysis, Entrepreneurship, Finance, Financial Analysis, Investment Management, Operating Systems, Software Architecture, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Visual Design
4.8
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Beginner · Professional Certificate · 3-6 Months

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Zusammenfassend sind hier 10 unserer beliebtesten data analyst Kurse

Ask Questions to Make Data-Driven Decisions: Google
Machine Learning Introduction for Everyone: IBM Skills Network
Supervised Machine Learning: Regression: IBM Skills Network
Data and Urban Governance: Sciences Po
Applied AI with DeepLearning: IBM Skills Network
Data Scientist Career Guide and Interview Preparation: IBM Skills Network
Machine Learning Capstone: IBM Skills Network
Introduction to the Threat Intelligence Lifecycle: IBM
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AI Workflow: Machine Learning, Visual Recognition and NLP: 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.