What is data modeling, and why is it important to learn about?

Data modeling is an essential prerequisite to proper database design, as it clearly establishes the structures, relationships, and flows of data through an organization. This diagramming is important because it ensures the integrity of a company’s data and its interrelationships in the database management system (DBMS) so that it can be relied on for accurate analysis. Data modeling has become more challenging in the big data era, as vast flows of unstructured, real-time data are not easily classified. However, there are also new tools available for data management professionals. Neo4j, one type of NoSQL database, can help with data modeling by filtering large datasets with graph analytics. And, with Apache Impala’s ability to analyze big data in the cloud, data modelers can create flexible system protocols that can evolve with data growth.

What kinds of careers can I have with skills in data modeling?

Data modeling is a complex process that demands the ability to precisely understand and diagram business operations, data flows, and data management systems. Database administrators especially rely on data modeling to design and manage an organization’s databases to ensure security, integrity, and freedom from error. Data engineers also use data modeling skills to efficiently design and build an organization’s data infrastructure. They are responsible for creating the data pipelines, data warehouses, and data lakes used for business operations, exploratory data analysis, and predictive business intelligence. According to Glassdoor, the national average salary for a data engineer in the United States is $102,864 per year.

Can I learn about data modeling by taking online courses on Coursera?

Yes! Coursera offers a wide variety of online courses and Specializations in data modeling, as well as related topics like data warehousing, business intelligence, and big data. You can take courses from top-ranked institutions like the University of California San Diego and the University of Illinois at Urbana-Champaign, so you don’t have to sacrifice the quality of your education for the opportunity to learn online. Coursera also offers the opportunity to pursue a full Master of Science in Data Science degree from the University of Colorado Boulder. Whether you’re a data science beginner or adding new skills to your resume, data modeling will give you an essential perspective into the structure of an organization’s data operations.

What skills or experience do I need to already have before learning data modeling?

Previous experience or education—at the high school or postsecondary levels—in information science, applied mathematics, or computer science and related topics can help you form the foundation needed to learn about data modeling. A background in business management and information systems management may also be beneficial. Naturally, you'll need good basic computer skills, as well as some experience in areas like database administration, computer architecture, data representation, and digital logic. An understanding of modeling tools—like PowerDesigner, Erwin, and Enterprise Architect—can also prepare you to learn data modeling. Experience with database management systems is also a must. Software development experience can be helpful too.

What kind of people are best suited for work that involves data modeling?

While technical skills are important for work that involves data modeling, you must also be a good communicator and teacher. In many cases, you'll have to explain your job to those who may not fully understand it. This means you'll need good written and verbal communication skills. It also means you'll need good interpersonal skills and the ability to work well with a team. You should also have a business-minded personality. The ideas and standards you implement will be based on the needs of the business where you work. You must be someone who can learn, change, and adapt quickly as you'll find that the job calls for that on many occasions.

How do I know if learning data modeling is right for me?

Anyone with a background and passion for math, data, and computers may find that learning data modeling is right for them, especially if you dream of working in the business world and helping companies reach their full potential. Your technical knowhow and communication skills must be equally as sharp if you want a career in the field. However, choosing a career in this field means plenty of job opportunities, a competitive salary, and a great outlook for the future. You must be willing to build on your education and experience to work your way up from a career such as a data analyst if you choose this path.

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University of Colorado Boulder
Master of Science in Data Science
Kompetenzen, die Sie erwerben: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Computer Architecture, Mathematics, Databases, Strategy and Operations, Hardware Design, Statistical Programming, Communication, Leadership and Management, Machine Learning, Research and Design, Operating Systems, SQL, Writing, Data Structures, Business Communication, Data Analysis, Probability Distribution, Computer Programming, Project Management, Regression, Database Design, Entrepreneurship, Software Engineering, Computer Graphics, Business Analysis, Computer Networking, Data Visualization, Design and Product, Data Model, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, Systems Design, Human Computer Interaction, Database Administration, Estimation, Statistical Analysis, Problem Solving, Operations Research, Statistical Tests, Network Architecture, PostgreSQL, Deep Learning, Computer Vision, Internet Of Things, Geometry, Applied Mathematics, Marketing, Cryptography, Finance, Graph Theory, Programming Principles, Python Programming, Interactive Design, User Experience, Business Psychology, Computer Graphic Techniques, Critical Thinking, Security Engineering, Data Mining, Accounting, Correlation And Dependence, Distributed Computing Architecture, Linear Algebra, Mathematical Theory & Analysis, Algebra, User Experience Design, Differential Equations, Supply Chain and Logistics, Cost Accounting, Cloud Computing, Computational Logic, Scrum (Software Development), Applied Machine Learning, Calculus, Feature Engineering, Graphic Design, Other Programming Languages, Sales, Software Architecture, Software Testing, System Programming, Visual Design, Artificial Neural Networks, Market Analysis, NoSQL, Statistical Visualization, Data Warehousing, Strategy, Basic Descriptive Statistics, Computational Thinking, Data Analysis Software, Econometrics, Exploratory Data Analysis, Material Handling, Product Lifecycle, Risk Management, Amazon Web Services, Big Data, Cloud Platforms, Culture, Cyberattacks, Decision Making, Graphics Software, Human Resources, Microarchitecture, Security Strategy, Computer Security Models, Network Model, Operational Analysis, Reinforcement Learning, Software Security, System Security, User Research, Plot (Graphics), R Programming, Financial Analysis, Account Management, Banking, BlockChain, Budget Management, Business Process Management, C Programming Language Family, Computer Programming Tools, Data Architecture, Experiment, FinTech, Financial Accounting, Financial Management, Markov Model, Matlab, Natural Language Processing, Operations Management, Organizational Development, Planning, Product Management, Spreadsheet Software, Storytelling, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Leadership Development, Linux, Network Analysis, Network Security, System Software
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Degree · 1-4 Years
University of Illinois
Graduate Certificate in Accounting Data Analytics
Kompetenzen, die Sie erwerben: Accounting, Business Analysis, Data Analysis, Leadership and Management, Finance, Financial Accounting, Marketing, Entrepreneurship, Strategy and Operations, Financial Analysis, Communication, Mergers & Acquisitions, Sales, Strategy, Taxes, Audit, Business Psychology, Probability & Statistics, Research and Design, Generally Accepted Accounting Principles (GAAP), Investment Management, Market Analysis, Management Accounting, Marketing Management, Basic Descriptive Statistics, Data Visualization, Customer Analysis, Machine Learning, Statistical Programming, Exploratory Data Analysis, Human Resources, Project Management, Statistical Analysis, Culture, Data Management, Market Research, Marketing Design, Media Strategy & Planning, R Programming, General Accounting, Business Communication, Digital Marketing, Organizational Development, General Statistics, Corporate Accouting, Spreadsheet Software, Advertising, Brand Management, Decision Making, Media Production, Regression, Accounts Payable and Receivable, Budget Management, Cost Accounting, Business Development, Design and Product, Financial Management, Product Marketing, Data Visualization Software, Algorithms, Banking, Data Analysis Software, Entrepreneurial Finance, Leadership Development, Machine Learning Algorithms, Risk Management, Software Engineering, Statistical Tests, Theoretical Computer Science, Performance Management, Supply Chain and Logistics, Adaptability, Advertising Sales, Big Data, Collaboration, Data Mining, Influencing, Natural Language Processing, Negotiation, People Development, Social Media, Software Testing, Storytelling, Experiment, Inventory Management, Plot (Graphics), Agile Software Development, Behavioral Economics, BlockChain, Business Design, Change Management, Conflict Management, Creativity, Extract, Transform, Load, Forecasting, Graph Theory, Human Learning, Innovation, Marketing Psychology, Material Handling, Mathematics, Network Analysis, Planning, Problem Solving, Product Lifecycle, Public Relations, Search Engine Optimization, Securities Sales, Statistical Visualization, Survey Creation, Web Design, Web Development, Cash Management, Correlation And Dependence, Critical Thinking, Data Structures, Microsoft Excel, Process Analysis, Regulations and Compliance, Tableau Software, Back-End Web Development, Business Intelligence, Business Process Management, Computer Graphics, Data Architecture, Econometrics, Game Theory, Human Computer Interaction, Journalism, Product Management, Scrum (Software Development), User Research, Virtual Reality
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Graduate Certificate · 6-12 Months
University of Colorado Boulder
Data Science Graduate Certificate
Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Regression, Machine Learning, Data Analysis, Probability Distribution, Machine Learning Algorithms, Data Management, Theoretical Computer Science, Statistical Machine Learning, Mathematics, Statistical Analysis, Statistical Tests, Data Mining, Business Analysis, Deep Learning, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Reinforcement Learning, Calculus, Econometrics, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Experiment, Feature Engineering, Natural Language Processing, Spreadsheet Software, Algorithms, Communication, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL
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Graduate Certificate · 6-12 Months
Meta
Meta Database Engineer
Kompetenzen, die Sie erwerben: Statistical Programming, Computer Programming, Data Management, Databases, Python Programming, SQL, Programming Principles, Software Engineering, Theoretical Computer Science, Application Development, Computer Programming Tools, Software Engineering Tools, Database Administration, Database Design, Software Architecture, Software Testing, Data Structures, Database Application, Database Theory, Human Computer Interaction, User Experience, Applied Machine Learning, Collaboration, Communication, Entrepreneurship, Javascript, Leadership and Management, Linux, Machine Learning, Market Research, Operating Systems, Research and Design, Web Development, Data Model, Data Warehousing, Django (Web Framework), Journalism, Operations Research, Other Programming Languages, Project Management, Strategy and Operations
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Zusammenfassend sind hier 10 unserer beliebtesten data modeling Kurse

Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
Big Data Modeling and Management Systems: University of California San Diego
Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
Advanced Data Modeling: Meta
Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
Master of Science in Applied Data Analytics: Queen Mary, University of London
Master of Science in Data Science: University of Colorado Boulder
Graduate Certificate in Accounting Data Analytics: University of Illinois

Fähigkeiten, die Sie bei Machine Learning erlernen können

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Häufig gestellte Fragen zum Thema Datenmodellierung

Data modeling is an essential prerequisite to proper database design, as it clearly establishes the structures, relationships, and flows of data through an organization. This diagramming is important because it ensures the integrity of a company’s data and its interrelationships in the database management system (DBMS) so that it can be relied on for accurate analysis.
Data modeling has become more challenging in the big data era, as vast flows of unstructured, real-time data are not easily classified. However, there are also new tools available for data management professionals. Neo4j, one type of NoSQL database, can help with data modeling by filtering large datasets with graph analytics. And, with Apache Impala’s ability to analyze big data in the cloud, data modelers can create flexible system protocols that can evolve with data growth.‎
Data modeling is a complex process that demands the ability to precisely understand and diagram business operations, data flows, and data management systems. Database administrators especially rely on data modeling to design and manage an organization’s databases to ensure security, integrity, and freedom from error.
Data engineers also use data modeling skills to efficiently design and build an organization’s data infrastructure. They are responsible for creating the data pipelines, data warehouses, and data lakes used for business operations, exploratory data analysis, and predictive business intelligence. According to Glassdoor, the national average salary for a data engineer in the United States is $102,864 per year.‎
Yes! Coursera offers a wide variety of online courses and Specializations in data modeling, as well as related topics like data warehousing, business intelligence, and big data. You can take courses from top-ranked institutions like the University of California San Diego and the University of Illinois at Urbana-Champaign, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.
Coursera also offers the opportunity to pursue a full Master of Science in Data Science degree from the University of Colorado Boulder. Whether you’re a data science beginner or adding new skills to your resume, data modeling will give you an essential perspective into the structure of an organization’s data operations.‎
Previous experience or education—at the high school or postsecondary levels—in information science, applied mathematics, or computer science and related topics can help you form the foundation needed to learn about data modeling. A background in business management and information systems management may also be beneficial. Naturally, you'll need good basic computer skills, as well as some experience in areas like database administration, computer architecture, data representation, and digital logic. An understanding of modeling tools—like PowerDesigner, Erwin, and Enterprise Architect—can also prepare you to learn data modeling. Experience with database management systems is also a must. Software development experience can be helpful too.‎
While technical skills are important for work that involves data modeling, you must also be a good communicator and teacher. In many cases, you'll have to explain your job to those who may not fully understand it. This means you'll need good written and verbal communication skills. It also means you'll need good interpersonal skills and the ability to work well with a team. You should also have a business-minded personality. The ideas and standards you implement will be based on the needs of the business where you work. You must be someone who can learn, change, and adapt quickly as you'll find that the job calls for that on many occasions.‎
Anyone with a background and passion for math, data, and computers may find that learning data modeling is right for them, especially if you dream of working in the business world and helping companies reach their full potential. Your technical knowhow and communication skills must be equally as sharp if you want a career in the field. However, choosing a career in this field means plenty of job opportunities, a competitive salary, and a great outlook for the future. You must be willing to build on your education and experience to work your way up from a career such as a data analyst if you choose this path.‎

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.