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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Data Modeling

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''data modeling'的 407 個結果

University of Colorado Boulder
Master of Science in Data Science
您將獲得的技能： Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Mathematics, Strategy and Operations, Computer Architecture, Databases, Leadership and Management, Communication, Hardware Design, Statistical Programming, Operating Systems, Machine Learning, Research and Design, Data Analysis, Finance, Computer Programming, SQL, Writing, Business Analysis, Regression, Data Structures, Project Management, Software Engineering, Business Communication, Probability Distribution, Entrepreneurship, Database Design, Computer Graphics, Statistical Analysis, Computer Networking, Design and Product, Statistical Tests, Accounting, Systems Design, Human Computer Interaction, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, PostgreSQL, Estimation, Data Visualization, Problem Solving, Operations Research, Internet Of Things, Network Architecture, Applied Mathematics, Computer Vision, Graph Theory, Deep Learning, Geometry, Security Engineering, User Experience, Marketing, Computer Graphic Techniques, Mathematical Theory & Analysis, Programming Principles, Python Programming, Supply Chain and Logistics, Algebra, Cryptography, Business Psychology, Interactive Design, Critical Thinking, Data Mining, Correlation And Dependence, Distributed Computing Architecture, Financial Analysis, Linear Algebra, Linux, User Experience Design, Cost Accounting, Differential Equations, Cloud Computing, Cyberattacks, Security Strategy, Computer Programming Tools, Computational Logic, Scrum (Software Development), Applied Machine Learning, Budget Management, Calculus, Econometrics, Experiment, Feature Engineering, Graphic Design, Other Programming Languages, Sales, Software Architecture, Software Testing, System Programming, Visual Design, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Data Warehousing, Strategy, Basic Descriptive Statistics, Computational Thinking, Data Analysis Software, Exploratory Data Analysis, Investment Management, Material Handling, Organizational Development, Product Lifecycle, Risk Management, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Human Resources, Microarchitecture, Application Development, Computer Security Models, Network Model, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Plot (Graphics), R Programming, Account Management, Banking, BlockChain, Business Process Management, C Programming Language Family, Data Architecture, FinTech, Financial Accounting, Financial Management, Geovisualization, Inventory Management, Management Accounting, Markov Model, Matlab, Natural Language Processing, Operations Management, Planning, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Leadership Development, Network Analysis, Network Security, System Software
獲得學位
Degree · 1-4 Years
University of Illinois
Graduate Certificate in Accounting Data Analytics
您將獲得的技能： Accounting, Finance, Leadership and Management, Business Analysis, Data Analysis, Entrepreneurship, Financial Accounting, Marketing, Strategy and Operations, Strategy, Sales, Financial Analysis, Communication, Management Accounting, Mergers & Acquisitions, Taxes, Probability & Statistics, Business Psychology, Statistical Programming, Investment Management, Research and Design, Audit, Generally Accepted Accounting Principles (GAAP), Python Programming, Banking, Human Resources, Market Analysis, Marketing Management, Basic Descriptive Statistics, Data Visualization, Market Research, Organizational Development, Statistical Analysis, Corporate Accouting, General Accounting, General Statistics, Customer Analysis, Machine Learning, Budget Management, Supply Chain and Logistics, Exploratory Data Analysis, Financial Management, Project Management, Culture, Data Management, Marketing Design, Media Strategy & Planning, R Programming, Risk Management, Cost Accounting, Regression, Business Communication, Business Development, Digital Marketing, Leadership Development, Operations Management, Spreadsheet Software, Accounts Payable and Receivable, Computer Programming, Advertising, Brand Management, Decision Making, Media Production, Design and Product, Negotiation, Product Marketing, Theoretical Computer Science, Data Visualization Software, Plot (Graphics), Algorithms, Data Analysis Software, Entrepreneurial Finance, Machine Learning Algorithms, Software Engineering, Statistical Tests, Performance Management, Data Structures, Inventory Management, Adaptability, Advertising Sales, Big Data, Collaboration, Data Mining, Forecasting, Influencing, Natural Language Processing, People Development, Social Media, Software Testing, Storytelling, Databases, Experiment, Mathematics, Regulations and Compliance, SQL, Statistical Visualization, Agile Software Development, Behavioral Economics, BlockChain, Business Design, Business Process Management, Change Management, Conflict Management, Creativity, Extract, Transform, Load, Graph Theory, Human Learning, Innovation, Marketing Psychology, Material Handling, Network Analysis, Planning, Problem Solving, Product Lifecycle, Public Relations, Search Engine Optimization, Securities Sales, Supply Chain Systems, Survey Creation, Web Design, Web Development, Probability Distribution, Cash Management, Correlation And Dependence, Critical Thinking, Database Administration, Microsoft Excel, Process Analysis, Tableau Software, Back-End Web Development, Business Intelligence, Computer Graphics, Data Architecture, Econometrics, Game Theory, Human Computer Interaction, Journalism, Operating Systems, Product Management, Scrum (Software Development), Systems Design, User Research, Virtual Reality
提供的學分
Graduate Certificate · 6-12 Months
University of Colorado Boulder
Data Science Graduate Certificate
您將獲得的技能： Probability & Statistics, General Statistics, Regression, Machine Learning, Data Analysis, Theoretical Computer Science, Statistical Tests, Probability Distribution, Statistical Analysis, Machine Learning Algorithms, Data Management, Business Analysis, Statistical Machine Learning, Mathematics, Data Mining, Deep Learning, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Econometrics, Experiment, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL
提供的學分
Graduate Certificate · 6-12 Months
Meta
Meta Database Engineer
您將獲得的技能： Statistical Programming, Databases, Data Management, Computer Programming, SQL, Python Programming, Programming Principles, Software Engineering, Theoretical Computer Science, Database Application, Database Administration, Computer Programming Tools, Software Engineering Tools, Software Architecture, Application Development, Database Design, Database Theory, Software Testing, Data Analysis, Human Computer Interaction, User Experience, Data Structures, Javascript, Web Development, Business Analysis, Collaboration, Communication, Entrepreneurship, Exploratory Data Analysis, Leadership and Management, Linux, Market Research, Operating Systems, Probability & Statistics, Research and Design, Applied Machine Learning, Machine Learning, Accounting, Algorithms, Computer Science, Data Model, Data Warehousing, Django (Web Framework), Financial Analysis, Journalism, Mathematics, Operations Research, Other Programming Languages, Project Management, Strategy and Operations
4.7
（1.9k 條評論）
Beginner · Professional Certificate · 3-6 Months

與 data modeling 相關的搜索

data modeling and regression analysis in business

big data modeling and management systems

advanced data modeling

calculus through data & modeling: limits & derivatives

calculus through data & modeling: applying differentiation

calculus through data & modeling: differentiation rules

calculus through data & modeling: precalculus review

modeling data in the tidyverse

總之，這是我們最受歡迎的 data modeling 門課程中的 10 門

Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
Big Data Modeling and Management Systems: University of California San Diego
Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
Advanced Data Modeling: Meta
Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
Calculus through Data & Modeling: Applying Differentiation: 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

您可以在 Machine Learning 中學到的技能

關於數據建模的常見問題

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.‎